diff --git a/notebooks/Clustering_FundFamily_Multimethod.ipynb b/notebooks/Clustering_FundFamily_Multimethod.ipynb new file mode 100644 index 0000000..12be3b1 --- /dev/null +++ b/notebooks/Clustering_FundFamily_Multimethod.ipynb @@ -0,0 +1,9655 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "13c6141d", + "metadata": { + "id": "13c6141d" + }, + "source": [ + "# Behavioral Clustering of Carmignac Investors\n", + "## Fund-Family Level Analysis\n", + "\n", + "This notebook builds a behavioral segmentation of Carmignac investors at the fund-family level.\n", + "\n", + "The main objectives are:\n", + "1. construct a monthly client × fund-family panel from repaired AUM and flow data,\n", + "2. engineer behavioral features based primarily on quantity dynamics,\n", + "3. cluster investors within the largest fund families,\n", + "4. compare several clustering algorithms,\n", + "5. interpret the resulting groups through churn-related indicators.\n", + "\n", + "The notebook is based on the initial project version and has been cleaned for reproducibility and readability." + ] + }, + { + "cell_type": "markdown", + "id": "28e588fe", + "metadata": { + "id": "28e588fe" + }, + "source": [ + "---\n", + "## 1. Imports\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "3bc1ffe0", + "metadata": { + "id": "3bc1ffe0" + }, + "outputs": [], + "source": [ + "import os\n", + "import re\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "from sklearn.preprocessing import RobustScaler\n", + "from sklearn.cluster import KMeans, AgglomerativeClustering\n", + "from sklearn.mixture import GaussianMixture\n", + "from sklearn.metrics import silhouette_score, davies_bouldin_score\n", + "from sklearn.decomposition import PCA\n", + "from sklearn.impute import SimpleImputer" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "69d2dc25", + "metadata": { + "id": "69d2dc25" + }, + "outputs": [], + "source": [ + "# Column names used throughout the notebook\n", + "ID_COL = \"Registrar Account - ID\"\n", + "ISIN_COL = \"Product - Isin\"\n", + "FUND_COL = \"Product - Fund\"\n", + "ASSET_COL = \"Product - Asset Type\"\n", + "FLOW_DATE_COL = \"Centralisation Date\"\n", + "AUM_DATE_COL = \"Centralisation Date\"\n", + "FLOW_QTY_COL = \"Quantity - NetFlows\"\n", + "FLOW_SUB_COL = \"Quantity - Subscription\"\n", + "FLOW_RED_COL = \"Quantity - Redemption\"\n", + "AUM_QTY_COL = \"Quantity - AUM\"\n", + "AUM_VAL_COL = \"Value - AUM €\"\n", + "REGION_COL = \"Registrar Account - Region\"\n", + "COUNTRY_COL = \"RegistrarAccount - Country\"\n", + "NAV_DATE_COL = \"Dat\"\n", + "NAV_ISIN_COL = \"Isin\"\n", + "NAV_PRICE_COL = \"Price (TF PartPrice)\"\n", + "NAV_BENCH_COL = \"PriceBench\"\n", + "RATE_DATE_COL = \"Date\"\n", + "RATE_VAL_COL = \"Yld to Maturity\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "455df8f5-2914-4efc-a7b8-4afacb985909", + "metadata": {}, + "outputs": [], + "source": [ + "EPS = 1e-9\n", + "RANDOM_STATE = 42" + ] + }, + { + "cell_type": "markdown", + "id": "Fk3IqzUisyYC", + "metadata": { + "id": "Fk3IqzUisyYC" + }, + "source": [ + "---\n", + "## 2. Utility functions\n", + "\n", + "This section defines shared helper functions used in preprocessing, feature engineering, plotting, and clustering evaluation." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "bf5b7a0a", + "metadata": { + "id": "bf5b7a0a" + }, + "outputs": [], + "source": [ + "# SHARED UTILITIES\n", + "def robust_zscore(s):\n", + " med = np.nanmedian(s)\n", + " mad = np.nanmedian(np.abs(s - med))\n", + " if mad == 0 or np.isnan(mad):\n", + " return np.zeros(len(s))\n", + " return (s - med) / (1.4826 * mad)\n", + "\n", + "def plot_heatmap(dfc, profile_vars, cluster_col, title, figsize=(16, 4)):\n", + " \"\"\"Cluster signature heatmap using robust z-scores, capped at ±3 for readability.\"\"\"\n", + " dfc_viz = dfc[profile_vars + [cluster_col]].copy()\n", + " for col in profile_vars:\n", + " vals = pd.to_numeric(dfc_viz[col], errors=\"coerce\").to_numpy(dtype=float)\n", + " lo = np.nanpercentile(vals, 2)\n", + " hi = np.nanpercentile(vals, 98)\n", + " dfc_viz[col] = np.clip(vals, lo, hi)\n", + " prof = dfc_viz.groupby(cluster_col)[profile_vars].median()\n", + " prof_z = prof.apply(lambda col: robust_zscore(col.values), axis=0)\n", + " prof_z = prof_z.clip(-3, 3) # cap for readability\n", + " plt.figure(figsize=figsize)\n", + " sns.heatmap(prof_z, cmap=\"RdBu_r\", center=0, annot=True, fmt=\".2f\",\n", + " xticklabels=profile_vars,\n", + " yticklabels=[f\"Cluster {i}\" for i in range(len(prof))])\n", + " plt.title(title)\n", + " plt.xticks(rotation=45, ha=\"right\")\n", + " plt.tight_layout()\n", + " plt.show()\n", + " return prof\n", + "\n", + "def winsorize_mad(series, n_sigma=3):\n", + " \"\"\"Winsorize using MAD n-sigma rule. Falls back to p95 clip when MAD~0.\"\"\"\n", + " vals = pd.to_numeric(series, errors=\"coerce\").to_numpy(dtype=float)\n", + " med = np.nanmedian(vals)\n", + " mad = np.nanmedian(np.abs(vals - med)) * 1.4826\n", + " if mad > 0:\n", + " return np.clip(vals, med - n_sigma * mad, med + n_sigma * mad)\n", + " else:\n", + " return np.clip(vals, 0, np.nanpercentile(vals, 95))\n", + "\n", + "def add_months_since_last_tx(dfc, df_month, id_col, suffix=\"\"):\n", + " \"\"\"Adds months_since_last_tx[suffix] to dfc.\"\"\"\n", + " col_name = f\"months_since_last_tx{suffix}\"\n", + " reference_date = df_month[\"month\"].max()\n", + " last_active = (\n", + " df_month[df_month[\"active_month\"] == 1]\n", + " .groupby(id_col)[\"month\"]\n", + " .max()\n", + " .reset_index(name=\"last_active_month\")\n", + " )\n", + " last_active[col_name] = (\n", + " (reference_date.to_period(\"M\") -\n", + " last_active[\"last_active_month\"].dt.to_period(\"M\"))\n", + " .apply(lambda x: x.n)\n", + " )\n", + " dfc = dfc.merge(last_active[[id_col, col_name]], on=id_col, how=\"left\")\n", + " max_months = dfc[col_name].max()\n", + " dfc[col_name] = dfc[col_name].fillna(max_months + 1)\n", + " return dfc\n", + "\n", + "\n", + "def add_months_since_last_tx_by_group(df, id_cols, active_col=\"active_month\", month_col=\"month\", suffix=\"\"):\n", + " col_name = f\"months_since_last_tx{suffix}\"\n", + " reference_date = df[month_col].max()\n", + "\n", + " last_active = (\n", + " df[df[active_col] == 1]\n", + " .groupby(id_cols)[month_col]\n", + " .max()\n", + " .reset_index(name=\"last_active_month\")\n", + " )\n", + "\n", + " last_active[col_name] = (\n", + " (reference_date.to_period(\"M\") - last_active[\"last_active_month\"].dt.to_period(\"M\"))\n", + " .apply(lambda x: x.n)\n", + " )\n", + "\n", + " return last_active[[*id_cols, col_name]]" + ] + }, + { + "cell_type": "markdown", + "id": "312153e6", + "metadata": { + "id": "312153e6" + }, + "source": [ + "---\n", + "## 3. Data loading\n", + "\n", + "We load four main data sources:\n", + "- repaired AUM data,\n", + "- daily transaction flows,\n", + "- NAV data for fund returns,\n", + "- interest-rate data for macro-financial enrichment." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "NMM7B-TPs6GJ", + "metadata": { + "id": "NMM7B-TPs6GJ" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(2574461, 24) (623914, 5) (2826, 2) (4880297, 18)\n" + ] + } + ], + "source": [ + "PATH_FLOWS = \"s3://projet-bdc-data/carmignac/Flows ENSAE V2 -20251105.csv\"\n", + "PATH_NAV = \"s3://projet-bdc-data/carmignac/Data Modélisation/Nav/NAV_Bench_data.csv\"\n", + "PATH_RATES = \"s3://projet-bdc-data/carmignac/Data Modélisation/market data/esterRates.csv\"\n", + "PATH_AUM = \"s3://projet-bdc-carmignac-g3/paco/AUM_repaired.csv\"\n", + "\n", + "df_flows = pd.read_csv(PATH_FLOWS, sep=\";\")\n", + "df_nav = pd.read_csv(PATH_NAV, sep=\";\")\n", + "df_rates = pd.read_csv(PATH_RATES, sep=\";\")\n", + "df_aum = pd.read_csv(PATH_AUM, low_memory=False)\n", + "\n", + "print(df_flows.shape, df_nav.shape, df_rates.shape, df_aum.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "011958df", + "metadata": { + "id": "011958df", + "outputId": "d3c8094a-9386-4c4a-a8dc-596e456229da" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "flows: (2514419, 25)\n", + "aum: (4824814, 19)\n", + "nav: (623914, 6)\n" + ] + } + ], + "source": [ + "# Date parsing\n", + "for df, col in [\n", + " (df_flows, FLOW_DATE_COL), (df_aum, AUM_DATE_COL),\n", + " (df_nav, NAV_DATE_COL), (df_rates, RATE_DATE_COL)\n", + "]:\n", + " df[col] = pd.to_datetime(df[col], errors=\"coerce\")\n", + " df[\"month\"] = df[col].dt.to_period(\"M\").dt.to_timestamp()\n", + "\n", + "for col in [FLOW_QTY_COL, FLOW_SUB_COL, FLOW_RED_COL]:\n", + " df_flows[col] = pd.to_numeric(df_flows[col], errors=\"coerce\")\n", + "for col in [AUM_QTY_COL, AUM_VAL_COL]:\n", + " df_aum[col] = pd.to_numeric(df_aum[col], errors=\"coerce\")\n", + "for col in [NAV_PRICE_COL, NAV_BENCH_COL]:\n", + " df_nav[col] = pd.to_numeric(df_nav[col], errors=\"coerce\")\n", + "df_rates[RATE_VAL_COL] = pd.to_numeric(df_rates[RATE_VAL_COL], errors=\"coerce\")\n", + "\n", + "for df in [df_flows, df_aum]:\n", + " df[ISIN_COL] = df[ISIN_COL].astype(str).str.strip()\n", + "df_nav[NAV_ISIN_COL] = df_nav[NAV_ISIN_COL].astype(str).str.strip()\n", + "\n", + "# Remove technical accounts (not investable)\n", + "df_flows = df_flows[~df_flows[ID_COL].isin(\n", + " [\"Off Distribution\", \"Private Clients\", \"Private Client\"]\n", + ")]\n", + "df_aum = df_aum[~df_aum[ID_COL].isin(\n", + " [\"Off Distribution\", \"Private Clients\", \"Private Client\"]\n", + ")]\n", + "\n", + "print(\"flows:\", df_flows.shape)\n", + "print(\"aum: \", df_aum.shape)\n", + "print(\"nav: \", df_nav.shape)" + ] + }, + { + "cell_type": "markdown", + "id": "acd89acb-a9c1-4488-a47e-db4ca76b9214", + "metadata": { + "id": "acd89acb-a9c1-4488-a47e-db4ca76b9214" + }, + "source": [ + "## Fund Family Study - Fund ISIN and Name" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "f5c6782a-d1bb-478a-b8d0-9343e1071722", + "metadata": { + "id": "f5c6782a-d1bb-478a-b8d0-9343e1071722", + "outputId": "44b13513-2cc4-452d-ebad-b45d60e05631" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unique funds in AUM: 69\n", + "Unique ISINs in AUM: 387\n", + "Missing fund names in AUM: 0\n" + ] + } + ], + "source": [ + "print(\"Unique funds in AUM:\", df_aum[FUND_COL].nunique())\n", + "print(\"Unique ISINs in AUM:\", df_aum[ISIN_COL].nunique())\n", + "print(\"Missing fund names in AUM:\", df_aum[FUND_COL].isna().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "6f12be2c-e33e-4af6-b185-1b0a2794b9f5", + "metadata": { + "id": "6f12be2c-e33e-4af6-b185-1b0a2794b9f5", + "outputId": "47220331-90d5-4b6a-ce41-24d212cfcc65", + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nombre de couples uniques fund/isin : 387\n" + ] + }, + { + "data": { + "text/html": [ + "
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Product - IsinProduct - Fund
0FR0011269166Carmignac Absolute Return Europe
1FR0011269158Carmignac Absolute Return Europe
2FR0011269406Carmignac Absolute Return Europe
3FR0010149179Carmignac Absolute Return Europe
4FR0011269547Carmignac Absolute Return Europe
5FR001400JG56Carmignac Absolute Return Europe
6IE00049IEN86Carmignac Alts ICAV Carmignac Credit Opportuni...
7IE000L20NS05Carmignac Alts ICAV Carmignac Credit Opportuni...
8IE000RU6SF09Carmignac Alts ICAV European Long Short
9FR0013467024Carmignac China New Economy
10FR001400R3Z5Carmignac China New Economy
11FR0014002E46Carmignac China New Economy
12FR0011269331Carmignac Court Terme
13FR0010149161Carmignac Court Terme
14FR0011269323Carmignac Court Terme
15FR0000999999Carmignac Court Terme
16FR0013516028Carmignac Credit 2025
17FR0013516002Carmignac Credit 2025
18FR0013516010Carmignac Credit 2025
19FR0013515970Carmignac Credit 2025
20FR0013515996Carmignac Credit 2025
21FR0013516036Carmignac Credit 2025
22FR0014008231Carmignac Credit 2027
23FR0014008223Carmignac Credit 2027
24FR00140081Z8Carmignac Credit 2027
25FR0014008207Carmignac Credit 2027
26FR0014008215Carmignac Credit 2027
27FR00140081Y1Carmignac Credit 2027
28FR001400M1O8Carmignac Credit 2029
29FR001400M1Q3Carmignac Credit 2029
30FR001400KAY8Carmignac Credit 2029
31FR001400KAX0Carmignac Credit 2029
32FR001400M1P5Carmignac Credit 2029
33FR001400KAW2Carmignac Credit 2029
34FR001400KAV4Carmignac Credit 2029
35FR001400M1N0Carmignac Credit 2029
36FR001400U4X3Carmignac Credit 2031
37FR001400U4Y1Carmignac Credit 2031
38FR001400U4Z8Carmignac Credit 2031
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236LU2139905785Carmignac Portfolio Grande Europe
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260LU1299311677Carmignac Portfolio Investissement
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317LU2490324683Carmignac Portfolio Patrimoine Europe
318LU1744628287Carmignac Portfolio Patrimoine Europe
319LU1932476879Carmignac Portfolio Patrimoine Europe
320LU2420653367Carmignac Portfolio Sécurité
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332LU2809794220Carmignac Portfolio Tech Solutions
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336LU2809794576Carmignac Portfolio Tech Solutions
337LU3060210443Carmignac Portfolio Tech Solutions
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340FR0010148999Carmignac Profil Réactif 75
341LU2799473124Carmignac S.A. SICAV - PART II UCI Private Eve...
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Grandchildren\n", + "220 LU2782951763 Carmignac Portfolio Grandchildren\n", + "221 LU2420652476 Carmignac Portfolio Grandchildren\n", + "222 LU2420652393 Carmignac Portfolio Grandchildren\n", + "223 LU0553405878 Carmignac Portfolio Grande Europe\n", + "224 LU2420652989 Carmignac Portfolio Grande Europe\n", + "225 LU0807689079 Carmignac Portfolio Grande Europe\n", + "226 LU1792392729 Carmignac Portfolio Grande Europe\n", + "227 LU0807689152 Carmignac Portfolio Grande Europe\n", + "228 LU2420652807 Carmignac Portfolio Grande Europe\n", + "229 LU2206982626 Carmignac Portfolio Grande Europe\n", + "230 LU0099161993 Carmignac Portfolio Grande Europe\n", + "231 LU0992628932 Carmignac Portfolio Grande Europe\n", + "232 LU2212178615 Carmignac Portfolio Grande Europe\n", + "233 LU2420652633 Carmignac Portfolio Grande Europe\n", + "234 LU0807688931 Carmignac Portfolio Grande Europe\n", + "235 LU1623761951 Carmignac Portfolio Grande Europe\n", + "236 LU2139905785 Carmignac Portfolio Grande 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SICAV - PART II UCI Private Eve...\n", + "342 LU2799473397 Carmignac S.A. 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Fund-family construction\n", + "\n", + "A conservative family mapping is built from repaired AUM data. \n", + "Two products are assigned to the same family if their names differ only by a numeric substring.\n", + "\n", + "This aggregation is useful operationally, but may merge maturity-dated products with distinct economic profiles. Family-level results should therefore be interpreted as commercial-behavioral groupings rather than pure product-level classifications." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "70c8591f-29aa-4d2f-94bb-d3a280cbe5bb", + "metadata": { + "id": "70c8591f-29aa-4d2f-94bb-d3a280cbe5bb", + "outputId": "1f62bc14-4d88-46d3-fa80-cbc1379efc17" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nombre de couples ISIN/Fund : 387\n", + "Nombre de funds uniques : 69\n", + "Nombre de families uniques : 65\n" + ] + }, + { + "data": { + "text/html": [ + "
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Product - IsinProduct - Fundfund_family
0FR0000999999Carmignac Court TermeCarmignac Court Terme
1FR0010135103Carmignac PatrimoineCarmignac Patrimoine
2FR0010147603Carmignac Investissement LatitudeCarmignac Investissement Latitude
3FR0010148981Carmignac InvestissementCarmignac Investissement
4FR0010148999Carmignac Profil Réactif 75Carmignac Profil Réactif <NUM>
5FR0010149096Carmignac InnovationCarmignac Innovation
6FR0010149112Carmignac Euro-EntrepreneursCarmignac Euro-Entrepreneurs
7FR0010149120Carmignac SécuritéCarmignac Sécurité
8FR0010149161Carmignac Court TermeCarmignac Court Terme
9FR0010149179Carmignac Absolute Return EuropeCarmignac Absolute Return Europe
10FR0010149203Carmignac Multi ExpertiseCarmignac Multi Expertise
11FR0010149211Carmignac Profil Réactif 100Carmignac Profil Réactif <NUM>
12FR0010149278Carmignac Euro-InvestissementCarmignac Euro-Investissement
13FR0010149302Carmignac EmergentsCarmignac Emergents
14FR0010306142Carmignac PatrimoineCarmignac Patrimoine
15FR0010312660Carmignac InvestissementCarmignac Investissement
16FR0010956607Carmignac EmergentsCarmignac Emergents
17FR0010956615Carmignac InvestissementCarmignac Investissement
18FR0010956649Carmignac PatrimoineCarmignac Patrimoine
19FR0011147446Carmignac EmergentsCarmignac Emergents
\n", + "
" + ], + "text/plain": [ + " Product - Isin Product - Fund \\\n", + "0 FR0000999999 Carmignac Court Terme \n", + "1 FR0010135103 Carmignac Patrimoine \n", + "2 FR0010147603 Carmignac Investissement Latitude \n", + "3 FR0010148981 Carmignac Investissement \n", + "4 FR0010148999 Carmignac Profil Réactif 75 \n", + "5 FR0010149096 Carmignac Innovation \n", + "6 FR0010149112 Carmignac Euro-Entrepreneurs \n", + "7 FR0010149120 Carmignac Sécurité \n", + "8 FR0010149161 Carmignac Court Terme \n", + "9 FR0010149179 Carmignac Absolute Return Europe \n", + "10 FR0010149203 Carmignac Multi Expertise \n", + "11 FR0010149211 Carmignac Profil Réactif 100 \n", + "12 FR0010149278 Carmignac Euro-Investissement \n", + "13 FR0010149302 Carmignac Emergents \n", + "14 FR0010306142 Carmignac Patrimoine \n", + "15 FR0010312660 Carmignac Investissement \n", + "16 FR0010956607 Carmignac Emergents \n", + "17 FR0010956615 Carmignac Investissement \n", + "18 FR0010956649 Carmignac Patrimoine \n", + "19 FR0011147446 Carmignac Emergents \n", + "\n", + " fund_family \n", + "0 Carmignac Court Terme \n", + "1 Carmignac Patrimoine \n", + "2 Carmignac Investissement Latitude \n", + "3 Carmignac Investissement \n", + "4 Carmignac Profil Réactif \n", + "5 Carmignac Innovation \n", + "6 Carmignac Euro-Entrepreneurs \n", + "7 Carmignac Sécurité \n", + "8 Carmignac Court Terme \n", + "9 Carmignac Absolute Return Europe \n", + "10 Carmignac Multi Expertise \n", + "11 Carmignac Profil Réactif \n", + "12 Carmignac Euro-Investissement \n", + "13 Carmignac Emergents \n", + "14 Carmignac Patrimoine \n", + "15 Carmignac Investissement \n", + "16 Carmignac Emergents \n", + "17 Carmignac Investissement \n", + "18 Carmignac Patrimoine \n", + "19 Carmignac Emergents " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import re\n", + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "# =========================================================\n", + "# 1) Fonction conservative de construction de famille\n", + "# - même nom => même famille\n", + "# - différence purement numérique => même famille\n", + "# - sinon famille différente\n", + "# =========================================================\n", + "\n", + "\n", + "def build_fund_family_numeric_only(fund_name):\n", + " if pd.isna(fund_name): # si le nom du fund est manquant\n", + " return np.nan # on retourne NaN\n", + "\n", + " s = str(fund_name).strip() # transforme en string + enlève espaces début/fin\n", + "\n", + " family = re.sub(r\"\\d+\", \"\", s) # remplace tous les nombres par \"\"\n", + " # ex: \"Credit 2027\" -> \"Credit \"\n", + "\n", + " family = re.sub(r\"\\s+\", \" \", family).strip()\n", + " # remplace espaces multiples par 1 seul + nettoie\n", + "\n", + " return family # retourne la famille construite\n", + "\n", + "fund_family_table = (\n", + " df_aum[[ISIN_COL, FUND_COL]] # on garde seulement ISIN et nom du fund\n", + " .dropna(subset=[ISIN_COL, FUND_COL]) # enlève lignes avec valeurs manquantes\n", + " .drop_duplicates() # enlève doublons (même ISIN + fund)\n", + " .sort_values([ISIN_COL, FUND_COL]) # trie pour lisibilité\n", + " .reset_index(drop=True) # reset index propre\n", + ")\n", + "\n", + "fund_family_table[\"fund_family\"] = fund_family_table[FUND_COL].apply(build_fund_family_numeric_only)\n", + "## applique la fonction à chaque nom de fund pour créer la colonne \"fund_family\"\n", + "\n", + "print(\"Nombre de couples ISIN/Fund :\", fund_family_table.shape[0])\n", + "print(\"Nombre de funds uniques :\", fund_family_table[FUND_COL].nunique())\n", + "print(\"Nombre de families uniques :\", fund_family_table[\"fund_family\"].nunique())\n", + "\n", + "fund_family_table.head(20)" + ] + }, + { + "cell_type": "markdown", + "id": "d34f5ecf", + "metadata": { + "id": "d34f5ecf" + }, + "source": [ + "---\n", + "## 5. Monthly panel construction\n", + "\n", + "We construct a monthly relational panel at the client × ISIN × month level by combining:\n", + "- monthly AUM snapshots,\n", + "- monthly aggregated flows,\n", + "- monthly fund returns,\n", + "- monthly interest-rate changes." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "25f3dce4", + "metadata": { + "id": "25f3dce4", + "outputId": "ed7bd124-4467-407a-faaa-b71605a38afc" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "df_rel_m shape: (5184382, 20)\n" + ] + } + ], + "source": [ + "df_flows_m = (\n", + " df_flows\n", + " .dropna(subset=[ID_COL, ISIN_COL, \"month\"])\n", + " .assign(\n", + " gross_flow_qty=lambda x: x[FLOW_QTY_COL].abs(),\n", + " sub_qty=lambda x: x[FLOW_SUB_COL].fillna(0),\n", + " red_qty=lambda x: x[FLOW_RED_COL].fillna(0)\n", + " )\n", + " .groupby([ID_COL, ISIN_COL, \"month\"], as_index=False)\n", + " .agg(\n", + " net_flow_qty=(FLOW_QTY_COL, \"sum\"),\n", + " gross_flow_qty=(\"gross_flow_qty\", \"sum\"),\n", + " sub_qty=(\"sub_qty\", \"sum\"),\n", + " red_qty=(\"red_qty\", \"sum\"),\n", + " n_tx=(FLOW_QTY_COL, \"size\"),\n", + " region=(REGION_COL, \"last\"),\n", + " country=(COUNTRY_COL, \"last\")\n", + " )\n", + ")\n", + "\n", + "df_aum_m = (\n", + " df_aum\n", + " .dropna(subset=[ID_COL, ISIN_COL, FUND_COL, \"month\"])\n", + " .groupby([ID_COL, ISIN_COL, FUND_COL, \"month\"], as_index=False)\n", + " .agg(\n", + " aum_qty=(AUM_QTY_COL, \"sum\"),\n", + " aum_val=(AUM_VAL_COL, \"sum\"),\n", + " asset_type=(ASSET_COL, \"last\"),\n", + " region=(REGION_COL, \"last\"),\n", + " country=(COUNTRY_COL, \"last\")\n", + " )\n", + ")\n", + "\n", + "keys = pd.concat([\n", + " df_flows_m[[ID_COL, ISIN_COL, \"month\"]],\n", + " df_aum_m[[ID_COL, ISIN_COL, \"month\"]]\n", + "]).drop_duplicates()\n", + "\n", + "df_rel_m = (\n", + " keys\n", + " .merge(df_aum_m, on=[ID_COL, ISIN_COL, \"month\"], how=\"left\")\n", + " .merge(df_flows_m, on=[ID_COL, ISIN_COL, \"month\"], how=\"left\", suffixes=(\"\", \"_flow\"))\n", + ")\n", + "\n", + "for c in [\"aum_qty\", \"aum_val\", \"net_flow_qty\", \"gross_flow_qty\", \"sub_qty\", \"red_qty\", \"n_tx\"]:\n", + " df_rel_m[c] = df_rel_m[c].fillna(0)\n", + "\n", + "df_rel_m[\"region\"] = df_rel_m[\"region\"].fillna(df_rel_m.get(\"region_flow\"))\n", + "df_rel_m[\"country\"] = df_rel_m[\"country\"].fillna(df_rel_m.get(\"country_flow\"))\n", + "\n", + "df_rel_m[\"active_rel_month\"] = (df_rel_m[\"gross_flow_qty\"] > 0).astype(int)\n", + "df_rel_m[\"holding_rel_month\"] = (df_rel_m[\"aum_qty\"] > 0).astype(int)\n", + "\n", + "df_rel_m[\"flow_to_aum_rel\"] = np.where(\n", + " df_rel_m[\"aum_qty\"].abs() > 0,\n", + " df_rel_m[\"net_flow_qty\"] / df_rel_m[\"aum_qty\"].abs(),\n", + " np.nan\n", + ")\n", + "\n", + "df_rel_m[\"turnover_rel\"] = np.where(\n", + " df_rel_m[\"aum_qty\"].abs() > 0,\n", + " df_rel_m[\"gross_flow_qty\"] / df_rel_m[\"aum_qty\"].abs(),\n", + " np.nan\n", + ")\n", + "\n", + "print(\"df_rel_m shape:\", df_rel_m.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "0e95eaaa-3c49-44b9-b049-fee5ecba66ef", + "metadata": { + "id": "0e95eaaa-3c49-44b9-b049-fee5ecba66ef", + "outputId": "23c47670-bfbf-455f-db68-70d5be25ab37" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Panel with NAV/rates: (5184382, 22)\n" + ] + } + ], + "source": [ + "df_nav_m = (\n", + " df_nav\n", + " .dropna(subset=[NAV_ISIN_COL, \"month\", NAV_PRICE_COL])\n", + " .sort_values([NAV_ISIN_COL, \"month\"])\n", + " .groupby([NAV_ISIN_COL, \"month\"], as_index=False)\n", + " .tail(1)\n", + ")\n", + "\n", + "df_nav_m[\"ret_fund_m\"] = df_nav_m.groupby(NAV_ISIN_COL)[NAV_PRICE_COL].pct_change()\n", + "\n", + "df_nav_m = df_nav_m.rename(columns={NAV_ISIN_COL: ISIN_COL})[\n", + " [ISIN_COL, \"month\", \"ret_fund_m\"]\n", + "]\n", + "\n", + "df_rates_m = (\n", + " df_rates\n", + " .dropna(subset=[\"month\", RATE_VAL_COL])\n", + " .sort_values(RATE_DATE_COL)\n", + " .groupby(\"month\", as_index=False)\n", + " .tail(1)\n", + ")\n", + "\n", + "df_rates_m[\"delta_rate_m\"] = df_rates_m[RATE_VAL_COL].diff()\n", + "df_rates_m = df_rates_m[[\"month\", \"delta_rate_m\"]]\n", + "\n", + "df_rel_m = df_rel_m.merge(df_nav_m, on=[ISIN_COL, \"month\"], how=\"left\")\n", + "df_rel_m = df_rel_m.merge(df_rates_m, on=\"month\", how=\"left\")\n", + "\n", + "for c in [\"ret_fund_m\", \"delta_rate_m\"]:\n", + " df_rel_m[c] = df_rel_m[c].fillna(0)\n", + "\n", + "print(\"Panel with NAV/rates:\", df_rel_m.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "f4c2a3fd-2595-445b-95f5-bd544355e23d", + "metadata": { + "id": "f4c2a3fd-2595-445b-95f5-bd544355e23d", + "outputId": "82a32568-c7b5-4a3d-8b43-401e85f4405c" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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Registrar Account - IDProduct - IsinmonthProduct - Fundaum_qtyaum_valasset_typeregioncountrynet_flow_qtygross_flow_qtysub_qtyred_qtyn_txregion_flowcountry_flowactive_rel_monthholding_rel_monthflow_to_aum_relturnover_relret_fund_mdelta_rate_mfund_family
518437288928LU00991619932020-11-01Carmignac Portfolio Grande Europe0.00.0EquityLuxembourgLuxembourg0.00.00.00.00.0NaNNaN00NaNNaN0.0-0.004Carmignac Portfolio Grande Europe
518437388928LU00991619932020-12-01Carmignac Portfolio Grande Europe0.00.0EquityLuxembourgLuxembourg0.00.00.00.00.0NaNNaN00NaNNaN0.00.004Carmignac Portfolio Grande Europe
518437488928LU00991619932021-01-01Carmignac Portfolio Grande Europe0.00.0EquityLuxembourgLuxembourg0.00.00.00.00.0NaNNaN00NaNNaN0.0-0.007Carmignac Portfolio Grande Europe
518437588928LU00991619932021-02-01Carmignac Portfolio Grande Europe0.00.0EquityLuxembourgLuxembourg0.00.00.00.00.0NaNNaN00NaNNaN0.00.001Carmignac Portfolio Grande Europe
518437688928LU00991619932021-03-01Carmignac Portfolio Grande Europe0.00.0EquityLuxembourgLuxembourg0.00.00.00.00.0NaNNaN00NaNNaN0.0-0.003Carmignac Portfolio Grande Europe
518437788928LU00991619932021-04-01Carmignac Portfolio Grande Europe0.00.0EquityLuxembourgLuxembourg0.00.00.00.00.0NaNNaN00NaNNaN0.00.000Carmignac Portfolio Grande Europe
518437888928LU00991619932021-05-01Carmignac Portfolio Grande Europe0.00.0EquityLuxembourgLuxembourg0.00.00.00.00.0NaNNaN00NaNNaN0.00.000Carmignac Portfolio Grande Europe
518437988928LU00991619932021-06-01Carmignac Portfolio Grande Europe0.00.0EquityLuxembourgLuxembourg0.00.00.00.00.0NaNNaN00NaNNaN0.00.001Carmignac Portfolio Grande Europe
518438088928LU00991619932021-07-01Carmignac Portfolio Grande Europe0.00.0EquityLuxembourgLuxembourg0.00.00.00.00.0NaNNaN00NaNNaN0.0-0.001Carmignac Portfolio Grande Europe
518438188928LU00991619932021-08-01Carmignac Portfolio Grande Europe0.00.0EquityLuxembourgLuxembourg0.00.00.00.00.0NaNNaN00NaNNaN0.0-0.003Carmignac Portfolio Grande Europe
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" + ], + "text/plain": [ + " Registrar Account - ID Product - Isin month \\\n", + "5184372 88928 LU0099161993 2020-11-01 \n", + "5184373 88928 LU0099161993 2020-12-01 \n", + "5184374 88928 LU0099161993 2021-01-01 \n", + "5184375 88928 LU0099161993 2021-02-01 \n", + "5184376 88928 LU0099161993 2021-03-01 \n", + "5184377 88928 LU0099161993 2021-04-01 \n", + "5184378 88928 LU0099161993 2021-05-01 \n", + "5184379 88928 LU0099161993 2021-06-01 \n", + "5184380 88928 LU0099161993 2021-07-01 \n", + "5184381 88928 LU0099161993 2021-08-01 \n", + "\n", + " Product - Fund aum_qty aum_val asset_type \\\n", + "5184372 Carmignac Portfolio Grande Europe 0.0 0.0 Equity \n", + "5184373 Carmignac Portfolio Grande Europe 0.0 0.0 Equity \n", + "5184374 Carmignac Portfolio Grande Europe 0.0 0.0 Equity \n", + "5184375 Carmignac Portfolio Grande Europe 0.0 0.0 Equity \n", + "5184376 Carmignac Portfolio Grande Europe 0.0 0.0 Equity \n", + "5184377 Carmignac Portfolio Grande Europe 0.0 0.0 Equity \n", + "5184378 Carmignac Portfolio Grande Europe 0.0 0.0 Equity \n", + "5184379 Carmignac Portfolio Grande Europe 0.0 0.0 Equity \n", + "5184380 Carmignac Portfolio Grande Europe 0.0 0.0 Equity \n", + "5184381 Carmignac Portfolio Grande Europe 0.0 0.0 Equity \n", + "\n", + " region country net_flow_qty gross_flow_qty sub_qty \\\n", + "5184372 Luxembourg Luxembourg 0.0 0.0 0.0 \n", + "5184373 Luxembourg Luxembourg 0.0 0.0 0.0 \n", + "5184374 Luxembourg Luxembourg 0.0 0.0 0.0 \n", + "5184375 Luxembourg Luxembourg 0.0 0.0 0.0 \n", + "5184376 Luxembourg Luxembourg 0.0 0.0 0.0 \n", + "5184377 Luxembourg Luxembourg 0.0 0.0 0.0 \n", + "5184378 Luxembourg Luxembourg 0.0 0.0 0.0 \n", + "5184379 Luxembourg Luxembourg 0.0 0.0 0.0 \n", + "5184380 Luxembourg Luxembourg 0.0 0.0 0.0 \n", + "5184381 Luxembourg Luxembourg 0.0 0.0 0.0 \n", + "\n", + " red_qty n_tx region_flow country_flow active_rel_month \\\n", + "5184372 0.0 0.0 NaN NaN 0 \n", + "5184373 0.0 0.0 NaN NaN 0 \n", + "5184374 0.0 0.0 NaN NaN 0 \n", + "5184375 0.0 0.0 NaN NaN 0 \n", + "5184376 0.0 0.0 NaN NaN 0 \n", + "5184377 0.0 0.0 NaN NaN 0 \n", + "5184378 0.0 0.0 NaN NaN 0 \n", + "5184379 0.0 0.0 NaN NaN 0 \n", + "5184380 0.0 0.0 NaN NaN 0 \n", + "5184381 0.0 0.0 NaN NaN 0 \n", + "\n", + " holding_rel_month flow_to_aum_rel turnover_rel ret_fund_m \\\n", + "5184372 0 NaN NaN 0.0 \n", + "5184373 0 NaN NaN 0.0 \n", + "5184374 0 NaN NaN 0.0 \n", + "5184375 0 NaN NaN 0.0 \n", + "5184376 0 NaN NaN 0.0 \n", + "5184377 0 NaN NaN 0.0 \n", + "5184378 0 NaN NaN 0.0 \n", + "5184379 0 NaN NaN 0.0 \n", + "5184380 0 NaN NaN 0.0 \n", + "5184381 0 NaN NaN 0.0 \n", + "\n", + " delta_rate_m fund_family \n", + "5184372 -0.004 Carmignac Portfolio Grande Europe \n", + "5184373 0.004 Carmignac Portfolio Grande Europe \n", + "5184374 -0.007 Carmignac Portfolio Grande Europe \n", + "5184375 0.001 Carmignac Portfolio Grande Europe \n", + "5184376 -0.003 Carmignac Portfolio Grande Europe \n", + "5184377 0.000 Carmignac Portfolio Grande Europe \n", + "5184378 0.000 Carmignac Portfolio Grande Europe \n", + "5184379 0.001 Carmignac Portfolio Grande Europe \n", + "5184380 -0.001 Carmignac Portfolio Grande Europe \n", + "5184381 -0.003 Carmignac Portfolio Grande Europe " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Merge families\n", + "\n", + "df_rel_m = df_rel_m.merge(\n", + " fund_family_table[[ISIN_COL, FUND_COL, \"fund_family\"]],\n", + " on=[ISIN_COL, FUND_COL],\n", + " how=\"left\")\n", + "df_rel_m.tail(10)" + ] + }, + { + "cell_type": "markdown", + "id": "RV-iU2QTtX-A", + "metadata": { + "id": "RV-iU2QTtX-A" + }, + "source": [ + "---\n", + "## 6. Aggregation to the client × fund-family × month level\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "f4fb4a9f-b354-42d0-8699-bf6fc1e26bb9", + "metadata": { + "id": "f4fb4a9f-b354-42d0-8699-bf6fc1e26bb9", + "outputId": "871d89b5-4b34-4573-e3fc-59b5b03cb145" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "df_family_month shape: (3805010, 23)\n" + ] + }, + { + "data": { + "text/html": [ + "
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Registrar Account - IDfund_familymonthaum_qtyaum_valnet_flow_qtygross_flow_qtysub_qtyred_qtyn_txn_isin_heldn_isin_activeret_fund_mdelta_rate_mregioncountryactive_monthflow_to_aum_mturnover_msub_share_mred_share_maum_peak_to_dateaum_drawdown
0100000014Carmignac Portfolio Climate Transition2015-01-010.00.00.00.00.00.00.0000.064516-0.058SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN
1100000014Carmignac Portfolio Climate Transition2015-02-010.00.00.00.00.00.00.0000.000000-0.022SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN
2100000014Carmignac Portfolio Climate Transition2015-03-010.00.00.00.00.00.00.0000.000000-0.014SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN
3100000014Carmignac Portfolio Climate Transition2015-04-010.00.00.00.00.00.00.0000.000000-0.077SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN
4100000014Carmignac Portfolio Climate Transition2015-05-010.00.00.00.00.00.00.0000.000000-0.053SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN
5100000014Carmignac Portfolio Climate Transition2015-06-010.00.00.00.00.00.00.0000.0454550.020SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN
6100000014Carmignac Portfolio Climate Transition2015-07-010.00.00.00.00.00.00.0000.000000-0.042SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN
7100000014Carmignac Portfolio Climate Transition2015-08-010.00.00.00.00.00.00.0000.000000-0.008SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN
8100000014Carmignac Portfolio Climate Transition2015-09-010.00.00.00.00.00.00.0000.000000-0.012SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN
9100000014Carmignac Portfolio Climate Transition2015-10-010.00.00.00.00.00.00.0000.000000-0.007SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN
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" + ], + "text/plain": [ + " Registrar Account - ID fund_family month \\\n", + "0 100000014 Carmignac Portfolio Climate Transition 2015-01-01 \n", + "1 100000014 Carmignac Portfolio Climate Transition 2015-02-01 \n", + "2 100000014 Carmignac Portfolio Climate Transition 2015-03-01 \n", + "3 100000014 Carmignac Portfolio Climate Transition 2015-04-01 \n", + "4 100000014 Carmignac Portfolio Climate Transition 2015-05-01 \n", + "5 100000014 Carmignac Portfolio Climate Transition 2015-06-01 \n", + "6 100000014 Carmignac Portfolio Climate Transition 2015-07-01 \n", + "7 100000014 Carmignac Portfolio Climate Transition 2015-08-01 \n", + "8 100000014 Carmignac Portfolio Climate Transition 2015-09-01 \n", + "9 100000014 Carmignac Portfolio Climate Transition 2015-10-01 \n", + "\n", + " aum_qty aum_val net_flow_qty gross_flow_qty sub_qty red_qty n_tx \\\n", + "0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "\n", + " n_isin_held n_isin_active ret_fund_m delta_rate_m region \\\n", + "0 0 0 0.064516 -0.058 Switzerland \n", + "1 0 0 0.000000 -0.022 Switzerland \n", + "2 0 0 0.000000 -0.014 Switzerland \n", + "3 0 0 0.000000 -0.077 Switzerland \n", + "4 0 0 0.000000 -0.053 Switzerland \n", + "5 0 0 0.045455 0.020 Switzerland \n", + "6 0 0 0.000000 -0.042 Switzerland \n", + "7 0 0 0.000000 -0.008 Switzerland \n", + "8 0 0 0.000000 -0.012 Switzerland \n", + "9 0 0 0.000000 -0.007 Switzerland \n", + "\n", + " country active_month flow_to_aum_m turnover_m sub_share_m \\\n", + "0 Switzerland 0 NaN NaN NaN \n", + "1 Switzerland 0 NaN NaN NaN \n", + "2 Switzerland 0 NaN NaN NaN \n", + "3 Switzerland 0 NaN NaN NaN \n", + "4 Switzerland 0 NaN NaN NaN \n", + "5 Switzerland 0 NaN NaN NaN \n", + "6 Switzerland 0 NaN NaN NaN \n", + "7 Switzerland 0 NaN NaN NaN \n", + "8 Switzerland 0 NaN NaN NaN \n", + "9 Switzerland 0 NaN NaN NaN \n", + "\n", + " red_share_m aum_peak_to_date aum_drawdown \n", + "0 NaN 0.0 NaN \n", + "1 NaN 0.0 NaN \n", + "2 NaN 0.0 NaN \n", + "3 NaN 0.0 NaN \n", + "4 NaN 0.0 NaN \n", + "5 NaN 0.0 NaN \n", + "6 NaN 0.0 NaN \n", + "7 NaN 0.0 NaN \n", + "8 NaN 0.0 NaN \n", + "9 NaN 0.0 NaN " + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Aggregation: compte × famille × mois\n", + "tmp = df_rel_m.copy()\n", + "tmp[\"isin_held_flag\"] = (tmp[\"aum_qty\"] > 0).astype(int)\n", + "tmp[\"isin_active_flag\"] = (tmp[\"gross_flow_qty\"] > 0).astype(int)\n", + "\n", + "df_family_month = (\n", + " tmp\n", + " .dropna(subset=[ID_COL, \"fund_family\", \"month\"])\n", + " .groupby([ID_COL, \"fund_family\", \"month\"], as_index=False) #groupe sur family fund pas code isin\n", + " .agg(\n", + " aum_qty=(\"aum_qty\", \"sum\"), #somme sur les membres de la famille\n", + " aum_val=(\"aum_val\", \"sum\"),\n", + " net_flow_qty=(\"net_flow_qty\", \"sum\"),\n", + " gross_flow_qty=(\"gross_flow_qty\", \"sum\"),\n", + " sub_qty=(\"sub_qty\", \"sum\"),\n", + " red_qty=(\"red_qty\", \"sum\"),\n", + " n_tx=(\"n_tx\", \"sum\"),\n", + " n_isin_held=(\"isin_held_flag\", \"sum\"),\n", + " n_isin_active=(\"isin_active_flag\", \"sum\"),\n", + " ret_fund_m=(\"ret_fund_m\", \"mean\"),\n", + " delta_rate_m=(\"delta_rate_m\", \"first\"),\n", + " region=(\"region\", \"first\"),\n", + " country=(\"country\", \"first\")\n", + " )\n", + " .sort_values([ID_COL, \"fund_family\", \"month\"])\n", + " .reset_index(drop=True)\n", + ")\n", + "\n", + "df_family_month[\"active_month\"] = (df_family_month[\"gross_flow_qty\"] > 0).astype(int)\n", + "\n", + "df_family_month[\"flow_to_aum_m\"] = np.where(\n", + " df_family_month[\"aum_qty\"].abs() > 0,\n", + " df_family_month[\"net_flow_qty\"] / df_family_month[\"aum_qty\"].abs(),\n", + " np.nan\n", + ")\n", + "\n", + "df_family_month[\"turnover_m\"] = np.where(\n", + " df_family_month[\"aum_qty\"].abs() > 0,\n", + " df_family_month[\"gross_flow_qty\"] / df_family_month[\"aum_qty\"].abs(),\n", + " np.nan\n", + ")\n", + "\n", + "df_family_month[\"sub_share_m\"] = np.where(\n", + " df_family_month[\"gross_flow_qty\"] > 0,\n", + " df_family_month[\"sub_qty\"] / df_family_month[\"gross_flow_qty\"],\n", + " np.nan\n", + ")\n", + "\n", + "df_family_month[\"red_share_m\"] = np.where(\n", + " df_family_month[\"gross_flow_qty\"] > 0,\n", + " df_family_month[\"red_qty\"] / df_family_month[\"gross_flow_qty\"],\n", + " np.nan\n", + ")\n", + "\n", + "df_family_month[\"aum_peak_to_date\"] = df_family_month.groupby([ID_COL, \"fund_family\"])[\"aum_qty\"].cummax()\n", + "\n", + "df_family_month[\"aum_drawdown\"] = np.where(\n", + " df_family_month[\"aum_peak_to_date\"] > 0,\n", + " 1 - df_family_month[\"aum_qty\"] / df_family_month[\"aum_peak_to_date\"],\n", + " np.nan\n", + ")\n", + "\n", + "print(\"df_family_month shape:\", df_family_month.shape)\n", + "df_family_month.head(10)" + ] + }, + { + "cell_type": "markdown", + "id": "9121da21", + "metadata": { + "id": "9121da21" + }, + "source": [ + "---\n", + "## 7. Client-level portfolio totals\n", + "\n", + "To assess how important a given fund family is within the investor portfolio, we compute the total client AUM by month and derive the family share in the portfolio.\n", + "\n", + "This variable is useful for distinguishing:\n", + "- marginal positions,\n", + "- core strategic allocations,\n", + "- and family relationships that dominate the client portfolio.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "b7fdb2fe-26ce-4881-903d-01fd6e473ac4", + "metadata": { + "id": "b7fdb2fe-26ce-4881-903d-01fd6e473ac4", + "outputId": "ab61cc1b-0587-4f0c-dba4-b66df3ad983d" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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Registrar Account - IDfund_familymonthaum_qtyaum_valnet_flow_qtygross_flow_qtysub_qtyred_qtyn_txn_isin_heldn_isin_activeret_fund_mdelta_rate_mregioncountryactive_monthflow_to_aum_mturnover_msub_share_mred_share_maum_peak_to_dateaum_drawdowntotal_client_aum_qtytotal_client_aum_valfamily_share_of_client_aum
0100000014Carmignac Portfolio Climate Transition2015-01-010.00.00.00.00.00.00.0000.064516-0.058SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN
1100000014Carmignac Portfolio Climate Transition2015-02-010.00.00.00.00.00.00.0000.000000-0.022SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN
2100000014Carmignac Portfolio Climate Transition2015-03-010.00.00.00.00.00.00.0000.000000-0.014SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN
3100000014Carmignac Portfolio Climate Transition2015-04-010.00.00.00.00.00.00.0000.000000-0.077SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN
4100000014Carmignac Portfolio Climate Transition2015-05-010.00.00.00.00.00.00.0000.000000-0.053SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN
5100000014Carmignac Portfolio Climate Transition2015-06-010.00.00.00.00.00.00.0000.0454550.020SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN
6100000014Carmignac Portfolio Climate Transition2015-07-010.00.00.00.00.00.00.0000.000000-0.042SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN
7100000014Carmignac Portfolio Climate Transition2015-08-010.00.00.00.00.00.00.0000.000000-0.008SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN
8100000014Carmignac Portfolio Climate Transition2015-09-010.00.00.00.00.00.00.0000.000000-0.012SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN
9100000014Carmignac Portfolio Climate Transition2015-10-010.00.00.00.00.00.00.0000.000000-0.007SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN
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" + ], + "text/plain": [ + " Registrar Account - ID fund_family month \\\n", + "0 100000014 Carmignac Portfolio Climate Transition 2015-01-01 \n", + "1 100000014 Carmignac Portfolio Climate Transition 2015-02-01 \n", + "2 100000014 Carmignac Portfolio Climate Transition 2015-03-01 \n", + "3 100000014 Carmignac Portfolio Climate Transition 2015-04-01 \n", + "4 100000014 Carmignac Portfolio Climate Transition 2015-05-01 \n", + "5 100000014 Carmignac Portfolio Climate Transition 2015-06-01 \n", + "6 100000014 Carmignac Portfolio Climate Transition 2015-07-01 \n", + "7 100000014 Carmignac Portfolio Climate Transition 2015-08-01 \n", + "8 100000014 Carmignac Portfolio Climate Transition 2015-09-01 \n", + "9 100000014 Carmignac Portfolio Climate Transition 2015-10-01 \n", + "\n", + " aum_qty aum_val net_flow_qty gross_flow_qty sub_qty red_qty n_tx \\\n", + "0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "\n", + " n_isin_held n_isin_active ret_fund_m delta_rate_m region \\\n", + "0 0 0 0.064516 -0.058 Switzerland \n", + "1 0 0 0.000000 -0.022 Switzerland \n", + "2 0 0 0.000000 -0.014 Switzerland \n", + "3 0 0 0.000000 -0.077 Switzerland \n", + "4 0 0 0.000000 -0.053 Switzerland \n", + "5 0 0 0.045455 0.020 Switzerland \n", + "6 0 0 0.000000 -0.042 Switzerland \n", + "7 0 0 0.000000 -0.008 Switzerland \n", + "8 0 0 0.000000 -0.012 Switzerland \n", + "9 0 0 0.000000 -0.007 Switzerland \n", + "\n", + " country active_month flow_to_aum_m turnover_m sub_share_m \\\n", + "0 Switzerland 0 NaN NaN NaN \n", + "1 Switzerland 0 NaN NaN NaN \n", + "2 Switzerland 0 NaN NaN NaN \n", + "3 Switzerland 0 NaN NaN NaN \n", + "4 Switzerland 0 NaN NaN NaN \n", + "5 Switzerland 0 NaN NaN NaN \n", + "6 Switzerland 0 NaN NaN NaN \n", + "7 Switzerland 0 NaN NaN NaN \n", + "8 Switzerland 0 NaN NaN NaN \n", + "9 Switzerland 0 NaN NaN NaN \n", + "\n", + " red_share_m aum_peak_to_date aum_drawdown total_client_aum_qty \\\n", + "0 NaN 0.0 NaN 0.0 \n", + "1 NaN 0.0 NaN 0.0 \n", + "2 NaN 0.0 NaN 0.0 \n", + "3 NaN 0.0 NaN 0.0 \n", + "4 NaN 0.0 NaN 0.0 \n", + "5 NaN 0.0 NaN 0.0 \n", + "6 NaN 0.0 NaN 0.0 \n", + "7 NaN 0.0 NaN 0.0 \n", + "8 NaN 0.0 NaN 0.0 \n", + "9 NaN 0.0 NaN 0.0 \n", + "\n", + " total_client_aum_val family_share_of_client_aum \n", + "0 0.0 NaN \n", + "1 0.0 NaN \n", + "2 0.0 NaN \n", + "3 0.0 NaN \n", + "4 0.0 NaN \n", + "5 0.0 NaN \n", + "6 0.0 NaN \n", + "7 0.0 NaN \n", + "8 0.0 NaN \n", + "9 0.0 NaN " + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Compute total client AUM by month across all ISINs.\n", + "# This provides the denominator for the portfolio share of each family.\n", + "\n", + "df_client_total_month = ( #1 client all funds\n", + " df_rel_m\n", + " .groupby([ID_COL, \"month\"], as_index=False) #client * mois\n", + " .agg(\n", + " total_client_aum_qty=(\"aum_qty\", \"sum\"),\n", + " total_client_aum_val=(\"aum_val\", \"sum\")\n", + " )\n", + ")\n", + "\n", + "df_family_month = df_family_month.merge(\n", + " df_client_total_month,\n", + " on=[ID_COL, \"month\"],\n", + " how=\"left\"\n", + ")\n", + "\n", + "df_family_month[\"family_share_of_client_aum\"] = np.where(\n", + " df_family_month[\"total_client_aum_val\"].abs() > 0,\n", + " df_family_month[\"aum_val\"] / df_family_month[\"total_client_aum_val\"].abs(),\n", + " np.nan\n", + ")\n", + "\n", + "df_family_month.head(10)" + ] + }, + { + "cell_type": "markdown", + "id": "TVopCIU6uAMa", + "metadata": { + "id": "TVopCIU6uAMa" + }, + "source": [ + "---\n", + "## 8. Temporal feature engineering at the client × family × month level\n", + "\n", + "We now create dynamic indicators of investor behavior within each fund family.\n", + "\n", + "These variables aim to capture:\n", + "- activity and inactivity periods,\n", + "- entry and full-exit events,\n", + "- persistence of trading intensity,\n", + "- and recent relationship deterioration.\n", + "\n", + "Because the panel is monthly, these indicators should be interpreted as medium-frequency behavioral proxies rather than precise transaction-level events." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "d4a01bcc", + "metadata": { + "id": "d4a01bcc", + "outputId": "8f810678-78c5-4e4a-b0a5-9ff0003f1553" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(3805010, 44)\n" + ] + }, + { + "data": { + "text/html": [ + "
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Registrar Account - IDfund_familymonthaum_qtyaum_valnet_flow_qtygross_flow_qtysub_qtyred_qtyn_txn_isin_heldn_isin_activeret_fund_mdelta_rate_mregioncountryactive_monthflow_to_aum_mturnover_msub_share_mred_share_maum_peak_to_dateaum_drawdowntotal_client_aum_qtytotal_client_aum_valfamily_share_of_client_aumprev_aumentry_eventfull_exit_eventret_fund_m_lag1buy_on_perfsell_on_perfret_fund_mean3_lag1ret_fund_mean6_lag1buy_on_perf_mean3sell_on_perf_mean3buy_on_perf_mean6sell_on_perf_mean6turnover_m_mean3flow_to_aum_m_mean3turnover_m_mean6flow_to_aum_m_mean6turnover_m_mean12flow_to_aum_m_mean12
0100000014Carmignac Portfolio Climate Transition2015-01-010.00.00.00.00.00.00.0000.064516-0.058SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaNNaN00NaN00NaNNaN0000NaNNaNNaNNaNNaNNaN
1100000014Carmignac Portfolio Climate Transition2015-02-010.00.00.00.00.00.00.0000.000000-0.022SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN0.0000.064516000.0645160.0645160000NaNNaNNaNNaNNaNNaN
2100000014Carmignac Portfolio Climate Transition2015-03-010.00.00.00.00.00.00.0000.000000-0.014SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN0.0000.000000000.0322580.0322580000NaNNaNNaNNaNNaNNaN
3100000014Carmignac Portfolio Climate Transition2015-04-010.00.00.00.00.00.00.0000.000000-0.077SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN0.0000.000000000.0215050.0215050000NaNNaNNaNNaNNaNNaN
4100000014Carmignac Portfolio Climate Transition2015-05-010.00.00.00.00.00.00.0000.000000-0.053SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN0.0000.000000000.0000000.0161290000NaNNaNNaNNaNNaNNaN
5100000014Carmignac Portfolio Climate Transition2015-06-010.00.00.00.00.00.00.0000.0454550.020SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN0.0000.000000000.0000000.0129030000NaNNaNNaNNaNNaNNaN
6100000014Carmignac Portfolio Climate Transition2015-07-010.00.00.00.00.00.00.0000.000000-0.042SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN0.0000.045455000.0151520.0183280000NaNNaNNaNNaNNaNNaN
7100000014Carmignac Portfolio Climate Transition2015-08-010.00.00.00.00.00.00.0000.000000-0.008SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN0.0000.000000000.0151520.0075760000NaNNaNNaNNaNNaNNaN
8100000014Carmignac Portfolio Climate Transition2015-09-010.00.00.00.00.00.00.0000.000000-0.012SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN0.0000.000000000.0151520.0075760000NaNNaNNaNNaNNaNNaN
9100000014Carmignac Portfolio Climate Transition2015-10-010.00.00.00.00.00.00.0000.000000-0.007SwitzerlandSwitzerland0NaNNaNNaNNaN0.0NaN0.00.0NaN0.0000.000000000.0000000.0075760000NaNNaNNaNNaNNaNNaN
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" + ], + "text/plain": [ + " Registrar Account - ID fund_family month \\\n", + "0 100000014 Carmignac Portfolio Climate Transition 2015-01-01 \n", + "1 100000014 Carmignac Portfolio Climate Transition 2015-02-01 \n", + "2 100000014 Carmignac Portfolio Climate Transition 2015-03-01 \n", + "3 100000014 Carmignac Portfolio Climate Transition 2015-04-01 \n", + "4 100000014 Carmignac Portfolio Climate Transition 2015-05-01 \n", + "5 100000014 Carmignac Portfolio Climate Transition 2015-06-01 \n", + "6 100000014 Carmignac Portfolio Climate Transition 2015-07-01 \n", + "7 100000014 Carmignac Portfolio Climate Transition 2015-08-01 \n", + "8 100000014 Carmignac Portfolio Climate Transition 2015-09-01 \n", + "9 100000014 Carmignac Portfolio Climate Transition 2015-10-01 \n", + "\n", + " aum_qty aum_val net_flow_qty gross_flow_qty sub_qty red_qty n_tx \\\n", + "0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "\n", + " n_isin_held n_isin_active ret_fund_m delta_rate_m region \\\n", + "0 0 0 0.064516 -0.058 Switzerland \n", + "1 0 0 0.000000 -0.022 Switzerland \n", + "2 0 0 0.000000 -0.014 Switzerland \n", + "3 0 0 0.000000 -0.077 Switzerland \n", + "4 0 0 0.000000 -0.053 Switzerland \n", + "5 0 0 0.045455 0.020 Switzerland \n", + "6 0 0 0.000000 -0.042 Switzerland \n", + "7 0 0 0.000000 -0.008 Switzerland \n", + "8 0 0 0.000000 -0.012 Switzerland \n", + "9 0 0 0.000000 -0.007 Switzerland \n", + "\n", + " country active_month flow_to_aum_m turnover_m sub_share_m \\\n", + "0 Switzerland 0 NaN NaN NaN \n", + "1 Switzerland 0 NaN NaN NaN \n", + "2 Switzerland 0 NaN NaN NaN \n", + "3 Switzerland 0 NaN NaN NaN \n", + "4 Switzerland 0 NaN NaN NaN \n", + "5 Switzerland 0 NaN NaN NaN \n", + "6 Switzerland 0 NaN NaN NaN \n", + "7 Switzerland 0 NaN NaN NaN \n", + "8 Switzerland 0 NaN NaN NaN \n", + "9 Switzerland 0 NaN NaN NaN \n", + "\n", + " red_share_m aum_peak_to_date aum_drawdown total_client_aum_qty \\\n", + "0 NaN 0.0 NaN 0.0 \n", + "1 NaN 0.0 NaN 0.0 \n", + "2 NaN 0.0 NaN 0.0 \n", + "3 NaN 0.0 NaN 0.0 \n", + "4 NaN 0.0 NaN 0.0 \n", + "5 NaN 0.0 NaN 0.0 \n", + "6 NaN 0.0 NaN 0.0 \n", + "7 NaN 0.0 NaN 0.0 \n", + "8 NaN 0.0 NaN 0.0 \n", + "9 NaN 0.0 NaN 0.0 \n", + "\n", + " total_client_aum_val family_share_of_client_aum prev_aum entry_event \\\n", + "0 0.0 NaN NaN 0 \n", + "1 0.0 NaN 0.0 0 \n", + "2 0.0 NaN 0.0 0 \n", + "3 0.0 NaN 0.0 0 \n", + "4 0.0 NaN 0.0 0 \n", + "5 0.0 NaN 0.0 0 \n", + "6 0.0 NaN 0.0 0 \n", + "7 0.0 NaN 0.0 0 \n", + "8 0.0 NaN 0.0 0 \n", + "9 0.0 NaN 0.0 0 \n", + "\n", + " full_exit_event ret_fund_m_lag1 buy_on_perf sell_on_perf \\\n", + "0 0 NaN 0 0 \n", + "1 0 0.064516 0 0 \n", + "2 0 0.000000 0 0 \n", + "3 0 0.000000 0 0 \n", + "4 0 0.000000 0 0 \n", + "5 0 0.000000 0 0 \n", + "6 0 0.045455 0 0 \n", + "7 0 0.000000 0 0 \n", + "8 0 0.000000 0 0 \n", + "9 0 0.000000 0 0 \n", + "\n", + " ret_fund_mean3_lag1 ret_fund_mean6_lag1 buy_on_perf_mean3 \\\n", + "0 NaN NaN 0 \n", + "1 0.064516 0.064516 0 \n", + "2 0.032258 0.032258 0 \n", + "3 0.021505 0.021505 0 \n", + "4 0.000000 0.016129 0 \n", + "5 0.000000 0.012903 0 \n", + "6 0.015152 0.018328 0 \n", + "7 0.015152 0.007576 0 \n", + "8 0.015152 0.007576 0 \n", + "9 0.000000 0.007576 0 \n", + "\n", + " sell_on_perf_mean3 buy_on_perf_mean6 sell_on_perf_mean6 \\\n", + "0 0 0 0 \n", + "1 0 0 0 \n", + "2 0 0 0 \n", + "3 0 0 0 \n", + "4 0 0 0 \n", + "5 0 0 0 \n", + "6 0 0 0 \n", + "7 0 0 0 \n", + "8 0 0 0 \n", + "9 0 0 0 \n", + "\n", + " turnover_m_mean3 flow_to_aum_m_mean3 turnover_m_mean6 \\\n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 NaN NaN NaN \n", + "3 NaN NaN NaN \n", + "4 NaN NaN NaN \n", + "5 NaN NaN NaN \n", + "6 NaN NaN NaN \n", + "7 NaN NaN NaN \n", + "8 NaN NaN NaN \n", + "9 NaN NaN NaN \n", + "\n", + " flow_to_aum_m_mean6 turnover_m_mean12 flow_to_aum_m_mean12 \n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 NaN NaN NaN \n", + "3 NaN NaN NaN \n", + "4 NaN NaN NaN \n", + "5 NaN NaN NaN \n", + "6 NaN NaN NaN \n", + "7 NaN NaN NaN \n", + "8 NaN NaN NaN \n", + "9 NaN NaN NaN " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Level client × famille × mois + comportement\n", + "\n", + "tmp = df_family_month.sort_values([ID_COL, \"fund_family\", \"month\"]).reset_index(drop=True)\n", + "tmp[\"prev_aum\"] = tmp.groupby([ID_COL, \"fund_family\"])[\"aum_qty\"].shift(1)\n", + "tmp[\"entry_event\"] = (\n", + " (tmp[\"prev_aum\"].fillna(0) <= 0) & (tmp[\"aum_qty\"] > 0)\n", + ").astype(int)\n", + "\n", + "tmp[\"full_exit_event\"] = (\n", + " (tmp[\"prev_aum\"] > 0) & (tmp[\"aum_qty\"] <= 0)\n", + ").astype(int)\n", + "\n", + "tmp[\"ret_fund_m_lag1\"] = tmp.groupby([ID_COL, \"fund_family\"])[\"ret_fund_m\"].shift(1)\n", + "\n", + "tmp[\"buy_on_perf\"] = (\n", + " (tmp[\"net_flow_qty\"] > 0) & (tmp[\"ret_fund_m_lag1\"] > 0)\n", + ").astype(int)\n", + "\n", + "tmp[\"sell_on_perf\"] = (\n", + " (tmp[\"net_flow_qty\"] < 0) & (tmp[\"ret_fund_m_lag1\"] < 0)\n", + ").astype(int)\n", + "\n", + "tmp[\"ret_fund_mean3_lag1\"] = (\n", + " tmp.groupby([ID_COL, \"fund_family\"])[\"ret_fund_m\"]\n", + " .transform(lambda s: s.shift(1).rolling(3, min_periods=1).mean())\n", + ")\n", + "\n", + "tmp[\"ret_fund_mean6_lag1\"] = (\n", + " tmp.groupby([ID_COL, \"fund_family\"])[\"ret_fund_m\"]\n", + " .transform(lambda s: s.shift(1).rolling(6, min_periods=1).mean())\n", + ")\n", + "\n", + "tmp[\"buy_on_perf_mean3\"] = (\n", + " (tmp[\"net_flow_qty\"] > 0) & (tmp[\"ret_fund_mean3_lag1\"] > 0)\n", + ").astype(int)\n", + "\n", + "tmp[\"sell_on_perf_mean3\"] = (\n", + " (tmp[\"net_flow_qty\"] < 0) & (tmp[\"ret_fund_mean3_lag1\"] < 0)\n", + ").astype(int)\n", + "\n", + "tmp[\"buy_on_perf_mean6\"] = (\n", + " (tmp[\"net_flow_qty\"] > 0) & (tmp[\"ret_fund_mean6_lag1\"] > 0)\n", + ").astype(int)\n", + "\n", + "tmp[\"sell_on_perf_mean6\"] = (\n", + " (tmp[\"net_flow_qty\"] < 0) & (tmp[\"ret_fund_mean6_lag1\"] < 0)\n", + ").astype(int)\n", + "\n", + "for w in [3, 6, 12]:\n", + " tmp[f\"turnover_m_mean{w}\"] = (\n", + " tmp.groupby([ID_COL, \"fund_family\"])[\"turnover_m\"]\n", + " .transform(lambda s: s.rolling(w, min_periods=1).mean())\n", + " )\n", + "\n", + " tmp[f\"flow_to_aum_m_mean{w}\"] = (\n", + " tmp.groupby([ID_COL, \"fund_family\"])[\"flow_to_aum_m\"]\n", + " .transform(lambda s: s.rolling(w, min_periods=1).mean())\n", + " )\n", + "\n", + "print(tmp.shape)\n", + "tmp.head(10)" + ] + }, + { + "cell_type": "markdown", + "id": "YiyQOCE0uIGC", + "metadata": { + "id": "YiyQOCE0uIGC" + }, + "source": [ + "---\n", + "## 9. Base feature table at the client × fund-family level\n", + "\n", + "The monthly panel is now collapsed into one observation per client-family pair.\n", + "\n", + "At this stage, we summarize:\n", + "- duration and activity,\n", + "- average exposure,\n", + "- aggregate flow behavior,\n", + "- exit frequency,\n", + "- and smoothed turnover dynamics.\n", + "\n", + "This table will serve as the foundation for the final clustering features." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "965cd530-9985-4d57-938c-cef531459c39", + "metadata": { + "id": "965cd530-9985-4d57-938c-cef531459c39", + "outputId": "c8e1f83f-3f22-421e-a692-d1c688891e11" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "df_family_client_base shape: (53891, 49)\n" + ] + }, + { + "data": { + "text/html": [ + "
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2100000016Carmignac Patrimoine8000.0000.0000000.00.0000.00.0000000.00.0000.0000.0000000.00.0000.00.000000.000000NaN0.000000NaN0.000000NaNNaNNaNNaN000.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaN0.002345-0.008925United KingdomUnited Kingdom0.0
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" + ], + "text/plain": [ + " Registrar Account - ID fund_family n_months \\\n", + "0 100000014 Carmignac Portfolio Climate Transition 80 \n", + "1 100000016 Carmignac Emergents 80 \n", + "2 100000016 Carmignac Patrimoine 80 \n", + "3 100000028 Carmignac Patrimoine 80 \n", + "4 100000038 Carmignac Patrimoine 80 \n", + "5 100000038 Carmignac Portfolio Climate Transition 80 \n", + "6 100000038 Carmignac Portfolio Emerging Patrimoine 56 \n", + "7 100000042 Carmignac Portfolio Climate Transition 80 \n", + "8 100000044 Carmignac Portfolio Climate Transition 80 \n", + "9 100000047 Carmignac Patrimoine 80 \n", + "\n", + " n_active_months flow_freq family_aum_qty_mean family_aum_qty_median \\\n", + "0 0 0.000 0.000000 0.0 \n", + "1 0 0.000 0.000000 0.0 \n", + "2 0 0.000 0.000000 0.0 \n", + "3 2 0.025 9.529013 0.0 \n", + "4 0 0.000 0.000000 0.0 \n", + "5 0 0.000 0.000000 0.0 \n", + "6 0 0.000 0.000000 0.0 \n", + "7 0 0.000 57.760063 0.0 \n", + "8 0 0.000 0.000000 0.0 \n", + "9 0 0.000 0.000000 0.0 \n", + "\n", + " family_aum_qty_max family_aum_qty_last family_aum_val_mean \\\n", + "0 0.000 0.0 0.000000 \n", + "1 0.000 0.0 0.000000 \n", + "2 0.000 0.0 0.000000 \n", + "3 109.235 0.0 1577.952730 \n", + "4 0.000 0.0 0.000000 \n", + "5 0.000 0.0 0.000000 \n", + "6 0.000 0.0 0.000000 \n", + "7 660.115 0.0 5579.536269 \n", + "8 0.000 0.0 0.000000 \n", + "9 0.000 0.0 0.000000 \n", + "\n", + " family_aum_val_last net_flow_qty_sum gross_flow_qty_sum \\\n", + "0 0.0 0.000 0.000 \n", + "1 0.0 0.000 0.000 \n", + "2 0.0 0.000 0.000 \n", + "3 0.0 -109.238 109.238 \n", + "4 0.0 0.000 0.000 \n", + "5 0.0 0.000 0.000 \n", + "6 0.0 0.000 0.000 \n", + "7 0.0 0.000 0.000 \n", + "8 0.0 0.000 0.000 \n", + "9 0.0 0.000 0.000 \n", + "\n", + " gross_flow_qty_mean sub_qty_sum red_qty_sum n_tx_total avg_n_isin_held \\\n", + "0 0.000000 0.0 0.000 0.0 0.0000 \n", + "1 0.000000 0.0 0.000 0.0 0.0000 \n", + "2 0.000000 0.0 0.000 0.0 0.0000 \n", + "3 1.365475 0.0 -109.238 3.0 0.1000 \n", + "4 0.000000 0.0 0.000 0.0 0.0000 \n", + "5 0.000000 0.0 0.000 0.0 0.0000 \n", + "6 0.000000 0.0 0.000 0.0 0.0000 \n", + "7 0.000000 0.0 0.000 0.0 0.0875 \n", + "8 0.000000 0.0 0.000 0.0 0.0000 \n", + "9 0.000000 0.0 0.000 0.0 0.0000 \n", + "\n", + " max_n_isin_held net_flow_qty_vol flow_to_aum_mean flow_to_aum_vol \\\n", + "0 0 0.000000 NaN 0.000000 \n", + "1 0 0.000000 NaN 0.000000 \n", + "2 0 0.000000 NaN 0.000000 \n", + "3 1 10.559919 -0.021356 0.060405 \n", + "4 0 0.000000 NaN 0.000000 \n", + "5 0 0.000000 NaN 0.000000 \n", + "6 0 0.000000 NaN 0.000000 \n", + "7 1 0.000000 0.000000 0.000000 \n", + "8 0 0.000000 NaN 0.000000 \n", + "9 0 0.000000 NaN 0.000000 \n", + "\n", + " turnover_mean turnover_vol sub_share_mean red_share_mean \\\n", + "0 NaN 0.000000 NaN NaN \n", + "1 NaN 0.000000 NaN NaN \n", + "2 NaN 0.000000 NaN NaN \n", + "3 0.021356 0.060405 0.0 -1.0 \n", + "4 NaN 0.000000 NaN NaN \n", + "5 NaN 0.000000 NaN NaN \n", + "6 NaN 0.000000 NaN NaN \n", + "7 0.000000 0.000000 NaN NaN \n", + "8 NaN 0.000000 NaN NaN \n", + "9 NaN 0.000000 NaN NaN \n", + "\n", + " aum_drawdown_last aum_drawdown_max entry_count full_exit_count \\\n", + "0 NaN NaN 0 0 \n", + "1 NaN NaN 0 0 \n", + "2 NaN NaN 0 0 \n", + "3 1.0 1.0 1 1 \n", + "4 NaN NaN 0 0 \n", + "5 NaN NaN 0 0 \n", + "6 NaN NaN 0 0 \n", + "7 1.0 1.0 1 1 \n", + "8 NaN NaN 0 0 \n", + "9 NaN NaN 0 0 \n", + "\n", + " buy_on_perf_rate sell_on_perf_rate buy_on_perf_mean3_rate \\\n", + "0 0.0 0.0 0.0 \n", + "1 0.0 0.0 0.0 \n", + "2 0.0 0.0 0.0 \n", + "3 0.0 0.0 0.0 \n", + "4 0.0 0.0 0.0 \n", + "5 0.0 0.0 0.0 \n", + "6 0.0 0.0 0.0 \n", + "7 0.0 0.0 0.0 \n", + "8 0.0 0.0 0.0 \n", + "9 0.0 0.0 0.0 \n", + "\n", + " sell_on_perf_mean3_rate buy_on_perf_mean6_rate sell_on_perf_mean6_rate \\\n", + "0 0.0 0.0 0.0 \n", + "1 0.0 0.0 0.0 \n", + "2 0.0 0.0 0.0 \n", + "3 0.0 0.0 0.0 \n", + "4 0.0 0.0 0.0 \n", + "5 0.0 0.0 0.0 \n", + "6 0.0 0.0 0.0 \n", + "7 0.0 0.0 0.0 \n", + "8 0.0 0.0 0.0 \n", + "9 0.0 0.0 0.0 \n", + "\n", + " turnover_mean3_avg turnover_mean6_avg turnover_mean12_avg \\\n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 NaN NaN NaN \n", + "3 0.019933 0.021247 0.021228 \n", + "4 NaN NaN NaN \n", + "5 NaN NaN NaN \n", + "6 NaN NaN NaN \n", + "7 0.000000 0.000000 0.000000 \n", + "8 NaN NaN NaN \n", + "9 NaN NaN NaN \n", + "\n", + " flow_to_aum_mean3_avg flow_to_aum_mean6_avg flow_to_aum_mean12_avg \\\n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 NaN NaN NaN \n", + "3 -0.019933 -0.021247 -0.021228 \n", + "4 NaN NaN NaN \n", + "5 NaN NaN NaN \n", + "6 NaN NaN NaN \n", + "7 0.000000 0.000000 0.000000 \n", + "8 NaN NaN NaN \n", + "9 NaN NaN NaN \n", + "\n", + " family_share_of_client_aum_mean family_share_of_client_aum_max \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 1.0 1.0 \n", + "4 NaN NaN \n", + "5 NaN NaN \n", + "6 NaN NaN \n", + "7 1.0 1.0 \n", + "8 NaN NaN \n", + "9 NaN NaN \n", + "\n", + " ret_fund_m_mean delta_rate_m_mean region country \\\n", + "0 0.001500 -0.008925 Switzerland Switzerland \n", + "1 0.000520 -0.008925 United Kingdom United Kingdom \n", + "2 0.002345 -0.008925 United Kingdom United Kingdom \n", + "3 0.002345 -0.008925 United Kingdom United Kingdom \n", + "4 0.003393 -0.008925 Switzerland Switzerland \n", + "5 0.001500 -0.008925 Switzerland Switzerland \n", + "6 0.005728 -0.004304 Switzerland Switzerland \n", + "7 0.001500 -0.008925 United Kingdom United Kingdom \n", + "8 0.001500 -0.008925 France France \n", + "9 0.002345 -0.008925 United Kingdom United Kingdom \n", + "\n", + " months_since_last_tx_family \n", + "0 0.0 \n", + "1 0.0 \n", + "2 0.0 \n", + "3 121.0 \n", + "4 0.0 \n", + "5 0.0 \n", + "6 0.0 \n", + "7 0.0 \n", + "8 0.0 \n", + "9 0.0 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Aggregate the monthly family panel into one observation per client × family pair\n", + "\n", + "months_since_last_tx = add_months_since_last_tx_by_group(\n", + " tmp,\n", + " id_cols=[ID_COL, \"fund_family\"],\n", + " active_col=\"active_month\",\n", + " month_col=\"month\",\n", + " suffix=\"_family\"\n", + ")\n", + "#Calculate, for each couple client*family of funds, how many months have passed since the last activity.\n", + "\n", + "# Aggregate the monthly family panel into one observation per client × family pair\n", + "df_family_client_base = ( #1client *1 fund family\n", + " tmp\n", + " .groupby([ID_COL, \"fund_family\"], as_index=False)\n", + " .agg(\n", + " n_months=(\"month\", \"nunique\"),\n", + " n_active_months=(\"active_month\", \"sum\"),\n", + " flow_freq=(\"active_month\", \"mean\"),\n", + "\n", + " family_aum_qty_mean=(\"aum_qty\", \"mean\"),\n", + " family_aum_qty_median=(\"aum_qty\", \"median\"),\n", + " family_aum_qty_max=(\"aum_qty\", \"max\"),\n", + " family_aum_qty_last=(\"aum_qty\", \"last\"),\n", + "\n", + " family_aum_val_mean=(\"aum_val\", \"mean\"),\n", + " family_aum_val_last=(\"aum_val\", \"last\"),\n", + "\n", + " net_flow_qty_sum=(\"net_flow_qty\", \"sum\"),\n", + " gross_flow_qty_sum=(\"gross_flow_qty\", \"sum\"),\n", + " gross_flow_qty_mean=(\"gross_flow_qty\", \"mean\"),\n", + "\n", + " sub_qty_sum=(\"sub_qty\", \"sum\"),\n", + " red_qty_sum=(\"red_qty\", \"sum\"),\n", + " n_tx_total=(\"n_tx\", \"sum\"),\n", + "\n", + " avg_n_isin_held=(\"n_isin_held\", \"mean\"),\n", + " max_n_isin_held=(\"n_isin_held\", \"max\"),\n", + "\n", + " net_flow_qty_vol=(\"net_flow_qty\", \"std\"),\n", + " flow_to_aum_mean=(\"flow_to_aum_m\", \"mean\"),\n", + " flow_to_aum_vol=(\"flow_to_aum_m\", \"std\"),\n", + " turnover_mean=(\"turnover_m\", \"mean\"),\n", + " turnover_vol=(\"turnover_m\", \"std\"),\n", + "\n", + " sub_share_mean=(\"sub_share_m\", \"mean\"),\n", + " red_share_mean=(\"red_share_m\", \"mean\"),\n", + "\n", + " aum_drawdown_last=(\"aum_drawdown\", \"last\"),\n", + " aum_drawdown_max=(\"aum_drawdown\", \"max\"),\n", + "\n", + " entry_count=(\"entry_event\", \"sum\"),\n", + " full_exit_count=(\"full_exit_event\", \"sum\"),\n", + "\n", + " buy_on_perf_rate=(\"buy_on_perf\", \"mean\"),\n", + " sell_on_perf_rate=(\"sell_on_perf\", \"mean\"),\n", + " buy_on_perf_mean3_rate=(\"buy_on_perf_mean3\", \"mean\"),\n", + " sell_on_perf_mean3_rate=(\"sell_on_perf_mean3\", \"mean\"),\n", + " buy_on_perf_mean6_rate=(\"buy_on_perf_mean6\", \"mean\"),\n", + " sell_on_perf_mean6_rate=(\"sell_on_perf_mean6\", \"mean\"),\n", + "\n", + " turnover_mean3_avg=(\"turnover_m_mean3\", \"mean\"),\n", + " turnover_mean6_avg=(\"turnover_m_mean6\", \"mean\"),\n", + " turnover_mean12_avg=(\"turnover_m_mean12\", \"mean\"),\n", + "\n", + " flow_to_aum_mean3_avg=(\"flow_to_aum_m_mean3\", \"mean\"),\n", + " flow_to_aum_mean6_avg=(\"flow_to_aum_m_mean6\", \"mean\"),\n", + " flow_to_aum_mean12_avg=(\"flow_to_aum_m_mean12\", \"mean\"),\n", + "\n", + " family_share_of_client_aum_mean=(\"family_share_of_client_aum\", \"mean\"),\n", + " family_share_of_client_aum_max=(\"family_share_of_client_aum\", \"max\"),\n", + "\n", + " ret_fund_m_mean=(\"ret_fund_m\", \"mean\"),\n", + " delta_rate_m_mean=(\"delta_rate_m\", \"mean\"),\n", + "\n", + " region=(\"region\", \"last\"),\n", + " country=(\"country\", \"last\"),\n", + " )\n", + " .merge(months_since_last_tx, on=[ID_COL, \"fund_family\"], how=\"left\")\n", + ")\n", + "\n", + "for col in [\n", + " \"net_flow_qty_vol\",\n", + " \"flow_to_aum_vol\",\n", + " \"turnover_vol\",\n", + " \"months_since_last_tx_family\"\n", + "]:\n", + " if col in df_family_client_base.columns:\n", + " df_family_client_base[col] = df_family_client_base[col].fillna(0)\n", + "\n", + "print(\"df_family_client_base shape:\", df_family_client_base.shape)\n", + "df_family_client_base.head(10)" + ] + }, + { + "cell_type": "markdown", + "id": "ac6b1959", + "metadata": { + "id": "ac6b1959" + }, + "source": [ + "---\n", + "## Top 15 Fund Families\n", + "We restrict the clustering analysis to the 15 largest fund families, measured primarily by total final AUM and client coverage.\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "9cabda05", + "metadata": { + "id": "9cabda05", + "outputId": "8a16e391-ad83-4088-eac2-02cd172926ff" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top 15 families:\n", + "01 - Carmignac Patrimoine\n", + "02 - Carmignac Sécurité\n", + "03 - Carmignac Investissement\n", + "04 - Carmignac Credit \n", + "05 - Carmignac Portfolio Sécurité\n", + "06 - Carmignac Portfolio Flexible Bond\n", + "07 - Carmignac Portfolio Credit\n", + "08 - Carmignac Emergents\n", + "09 - Carmignac Court Terme\n", + "10 - Carmignac Portfolio Long-Short European Equities\n", + "11 - Carmignac Portfolio Grande Europe\n", + "12 - Carmignac Portfolio Emergents\n", + "13 - Carmignac Portfolio Global Bond\n", + "14 - Carmignac Portfolio Patrimoine\n", + "15 - Carmignac Portfolio Emerging Patrimoine\n" + ] + }, + { + "data": { + 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fund_familyn_clientstotal_family_aumavg_family_aumtotal_gross_flowtotal_tx
0Carmignac Patrimoine61836.668324e+092.730239e+061.199596e+0749953.0
1Carmignac Sécurité28255.359539e+093.274706e+065.239893e+0636860.0
2Carmignac Investissement49824.111151e+099.593080e+051.304787e+0620269.0
3Carmignac Credit <NUM>4364.082249e+094.098273e+065.065680e+066893.0
4Carmignac Portfolio Sécurité12642.688287e+092.178355e+061.756042e+0713177.0
5Carmignac Portfolio Flexible Bond14312.483972e+091.498464e+061.029621e+0612046.0
6Carmignac Portfolio Credit11352.356507e+091.132726e+064.493724e+068018.0
7Carmignac Emergents42311.095901e+093.089076e+052.353374e+0612011.0
8Carmignac Court Terme13319.948195e+083.681887e+052.222615e+055745.0
9Carmignac Portfolio Long-Short European Equities6897.283139e+081.129733e+063.032355e+064884.0
10Carmignac Portfolio Grande Europe29505.882891e+082.852247e+052.061285e+069341.0
11Carmignac Portfolio Emergents6505.466360e+086.443657e+051.722755e+069211.0
12Carmignac Portfolio Global Bond21145.445575e+084.059678e+053.476952e+0618356.0
13Carmignac Portfolio Patrimoine12345.127245e+087.907827e+055.253474e+069133.0
14Carmignac Portfolio Emerging Patrimoine16733.315211e+084.169396e+053.368469e+0613732.0
\n", + "
" + ], + "text/plain": [ + " fund_family n_clients \\\n", + "0 Carmignac Patrimoine 6183 \n", + "1 Carmignac Sécurité 2825 \n", + "2 Carmignac Investissement 4982 \n", + "3 Carmignac Credit 436 \n", + "4 Carmignac Portfolio Sécurité 1264 \n", + "5 Carmignac Portfolio Flexible Bond 1431 \n", + "6 Carmignac Portfolio Credit 1135 \n", + "7 Carmignac Emergents 4231 \n", + "8 Carmignac Court Terme 1331 \n", + "9 Carmignac Portfolio Long-Short European Equities 689 \n", + "10 Carmignac Portfolio Grande Europe 2950 \n", + "11 Carmignac Portfolio Emergents 650 \n", + "12 Carmignac Portfolio Global Bond 2114 \n", + "13 Carmignac Portfolio Patrimoine 1234 \n", + "14 Carmignac Portfolio Emerging Patrimoine 1673 \n", + "\n", + " total_family_aum avg_family_aum total_gross_flow total_tx \n", + "0 6.668324e+09 2.730239e+06 1.199596e+07 49953.0 \n", + "1 5.359539e+09 3.274706e+06 5.239893e+06 36860.0 \n", + "2 4.111151e+09 9.593080e+05 1.304787e+06 20269.0 \n", + "3 4.082249e+09 4.098273e+06 5.065680e+06 6893.0 \n", + "4 2.688287e+09 2.178355e+06 1.756042e+07 13177.0 \n", + "5 2.483972e+09 1.498464e+06 1.029621e+06 12046.0 \n", + "6 2.356507e+09 1.132726e+06 4.493724e+06 8018.0 \n", + "7 1.095901e+09 3.089076e+05 2.353374e+06 12011.0 \n", + "8 9.948195e+08 3.681887e+05 2.222615e+05 5745.0 \n", + "9 7.283139e+08 1.129733e+06 3.032355e+06 4884.0 \n", + "10 5.882891e+08 2.852247e+05 2.061285e+06 9341.0 \n", + "11 5.466360e+08 6.443657e+05 1.722755e+06 9211.0 \n", + "12 5.445575e+08 4.059678e+05 3.476952e+06 18356.0 \n", + "13 5.127245e+08 7.907827e+05 5.253474e+06 9133.0 \n", + "14 3.315211e+08 4.169396e+05 3.368469e+06 13732.0 " + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Table of 15 top families (by AUM & nbr of clients)\n", + "\n", + "top_family_table = (\n", + " df_family_client_base\n", + " .groupby(\"fund_family\", as_index=False)\n", + " .agg(\n", + " n_clients=(ID_COL, \"nunique\"),\n", + " total_family_aum=(\"family_aum_val_last\", \"sum\"),\n", + " avg_family_aum=(\"family_aum_val_mean\", \"mean\"),\n", + " total_gross_flow=(\"gross_flow_qty_sum\", \"sum\"),\n", + " total_tx=(\"n_tx_total\", \"sum\")\n", + " )\n", + " .sort_values([\"total_family_aum\", \"n_clients\"], ascending=[False, False])\n", + " .reset_index(drop=True)\n", + ")\n", + "\n", + "top_15_families = top_family_table.head(15)[\"fund_family\"].tolist()\n", + "\n", + "print(\"Top 15 families:\")\n", + "for i, fam in enumerate(top_15_families, 1):\n", + " print(f\"{i:02d} - {fam}\")\n", + "\n", + "top_family_table.head(15)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "3be8b56b", + "metadata": { + "id": "3be8b56b", + "outputId": "52534b70-a2df-437b-f142-120f791708b3" + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 29 - Visualisation des top 15 families\n", + "\n", + "top15_plot = top_family_table.head(15).copy()\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(data=top15_plot, y=\"fund_family\", x=\"total_family_aum\")\n", + "plt.title(\"Top 15 fund families by total AUM\")\n", + "plt.xlabel(\"Total family AUM\")\n", + "plt.ylabel(\"Fund family\")\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(data=top15_plot, y=\"fund_family\", x=\"n_clients\")\n", + "plt.title(\"Top 15 fund families by number of clients\")\n", + "plt.xlabel(\"Number of clients\")\n", + "plt.ylabel(\"Fund family\")\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "9b5257a3", + "metadata": { + "id": "9b5257a3" + }, + "source": [ + "---\n", + "## 10. Performance-sensitive features\n", + "\n", + "We enrich the base table with features that describe the relationship between investor flows and past family performance.\n", + "\n", + "These variables are intended to capture behaviors such as:\n", + "- performance chasing,\n", + "- reactive buying after positive returns,\n", + "- or weak sensitivity to past performance.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "3ae47862", + "metadata": { + "id": "3ae47862", + "outputId": "e03a7458-4af9-4038-b31c-21f8a627b84b" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Performance features merged. Shape: (53891, 53)\n" + ] + }, + { + "data": { + "text/html": [ + "
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Registrar Account - IDfund_familycorr_flow_ret_3mcorr_flow_ret_6mbuy_after_good_perf_share_3mbuy_after_good_perf_share_6m
0100000014Carmignac Portfolio Climate Transition0.0000000.0000000.00.0
1100000016Carmignac Emergents0.0000000.0000000.00.0
2100000016Carmignac Patrimoine0.0000000.0000000.00.0
3100000028Carmignac Patrimoine0.2581990.2581990.00.0
4100000038Carmignac Patrimoine0.0000000.0000000.00.0
\n", + "
" + ], + "text/plain": [ + " Registrar Account - ID fund_family \\\n", + "0 100000014 Carmignac Portfolio Climate Transition \n", + "1 100000016 Carmignac Emergents \n", + "2 100000016 Carmignac Patrimoine \n", + "3 100000028 Carmignac Patrimoine \n", + "4 100000038 Carmignac Patrimoine \n", + "\n", + " corr_flow_ret_3m corr_flow_ret_6m buy_after_good_perf_share_3m \\\n", + "0 0.000000 0.000000 0.0 \n", + "1 0.000000 0.000000 0.0 \n", + "2 0.000000 0.000000 0.0 \n", + "3 0.258199 0.258199 0.0 \n", + "4 0.000000 0.000000 0.0 \n", + "\n", + " buy_after_good_perf_share_6m \n", + "0 0.0 \n", + "1 0.0 \n", + "2 0.0 \n", + "3 0.0 \n", + "4 0.0 " + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Additional performance features for family clustering\n", + "\n", + "# Helper function: correlation between two series if enough valid observations exist\n", + "def safe_corr(x, y, min_obs=6):\n", + " x = pd.Series(x, dtype=float)\n", + " y = pd.Series(y, dtype=float)\n", + " mask = x.notna() & y.notna()\n", + " x = x[mask]\n", + " y = y[mask]\n", + " if len(x) < min_obs or x.nunique() <= 1 or y.nunique() <= 1:\n", + " return np.nan\n", + " return x.corr(y)\n", + "\n", + "tmp_perf = tmp.copy()\n", + "\n", + "# Past family returns already available in tmp:\n", + "# ret_fund_mean3_lag1 and ret_fund_mean6_lag1\n", + "# Build performance-sensitive features at the client × family level\n", + "tmp_perf[\"buy_flag\"] = (tmp_perf[\"net_flow_qty\"] > 0).astype(int)\n", + "tmp_perf[\"good_perf_3m\"] = (tmp_perf[\"ret_fund_mean3_lag1\"] > 0).astype(int)\n", + "tmp_perf[\"good_perf_6m\"] = (tmp_perf[\"ret_fund_mean6_lag1\"] > 0).astype(int)\n", + "\n", + "perf_rows = []\n", + "for (acc, fam), g in tmp_perf.groupby([ID_COL, \"fund_family\"]):\n", + " g = g.sort_values(\"month\")\n", + "\n", + " buy_months = g[\"buy_flag\"].sum()\n", + "\n", + " perf_rows.append({\n", + " ID_COL: acc,\n", + " \"fund_family\": fam,\n", + " \"corr_flow_ret_3m\": safe_corr(g[\"flow_to_aum_m\"], g[\"ret_fund_mean3_lag1\"], min_obs=6),\n", + " \"corr_flow_ret_6m\": safe_corr(g[\"flow_to_aum_m\"], g[\"ret_fund_mean6_lag1\"], min_obs=6),\n", + " \"buy_after_good_perf_share_3m\": (\n", + " ((g[\"buy_flag\"] == 1) & (g[\"good_perf_3m\"] == 1)).sum() / buy_months\n", + " if buy_months > 0 else np.nan\n", + " ),\n", + " \"buy_after_good_perf_share_6m\": (\n", + " ((g[\"buy_flag\"] == 1) & (g[\"good_perf_6m\"] == 1)).sum() / buy_months\n", + " if buy_months > 0 else np.nan\n", + " ),\n", + " })\n", + "\n", + "df_family_perf = pd.DataFrame(perf_rows)\n", + "\n", + "# Merge into final family-level table\n", + "df_family_client_base = df_family_client_base.merge(\n", + " df_family_perf,\n", + " on=[ID_COL, \"fund_family\"],\n", + " how=\"left\"\n", + ")\n", + "\n", + "for col in [\"corr_flow_ret_3m\", \"corr_flow_ret_6m\",\n", + " \"buy_after_good_perf_share_3m\", \"buy_after_good_perf_share_6m\"]:\n", + " if col in df_family_client_base.columns:\n", + " df_family_client_base[col] = df_family_client_base[col].fillna(0)\n", + "\n", + "print(\"Performance features merged. Shape:\", df_family_client_base.shape)\n", + "df_family_client_base[\n", + " [ID_COL, \"fund_family\", \"corr_flow_ret_3m\", \"corr_flow_ret_6m\",\n", + " \"buy_after_good_perf_share_3m\", \"buy_after_good_perf_share_6m\"]\n", + "].head()" + ] + }, + { + "cell_type": "markdown", + "id": "6b781457", + "metadata": { + "id": "6b781457" + }, + "source": [ + "---\n", + "## 11. Final clustering features\n", + "\n", + "We keep the same family-level features as in the initial notebook, in order to preserve continuity with the previous version of the analysis.\n", + "\n", + "However, their construction is now made more explicit:\n", + "- behavioral ratios rely primarily on quantities,\n", + "- value-based variables are retained for economic interpretation,\n", + "- performance-sensitive variables remain separate and are only imputed at the preprocessing stage." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "2d120f23", + "metadata": { + "id": "2d120f23", + "outputId": "ee6e596a-46b5-4ae1-dd5f-0fde463c7915" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of clustering features: 15\n", + "['flow_freq', 'gross_flow_to_aum_family', 'avg_n_isin_held', 'exit_rate_per_isin_family', 'flow_direction_balance', 'log_family_aum_val_mean', 'months_since_last_tx_family', 'family_share_of_client_aum_mean', 'turnover_mean3_avg', 'turnover_mean6_avg', 'turnover_mean12_avg', 'corr_flow_ret_3m', 'corr_flow_ret_6m', 'buy_after_good_perf_share_3m', 'buy_after_good_perf_share_6m']\n" + ] + } + ], + "source": [ + "# Final clustering features\n", + "\n", + "# Derived ratios closer to the initial notebook\n", + "df_family_client_base[\"log_family_aum_val_mean\"] = np.log1p(\n", + " df_family_client_base[\"family_aum_val_mean\"].clip(lower=0)\n", + ")\n", + "\n", + "df_family_client_base[\"gross_flow_to_aum_family\"] = np.where(\n", + " df_family_client_base[\"family_aum_qty_mean\"].abs() > 1,\n", + " df_family_client_base[\"gross_flow_qty_sum\"] / df_family_client_base[\"family_aum_qty_mean\"].abs(),\n", + " np.nan\n", + ")\n", + "\n", + "df_family_client_base[\"flow_direction_balance\"] = np.where(\n", + " df_family_client_base[\"gross_flow_qty_sum\"] > 0,\n", + " df_family_client_base[\"net_flow_qty_sum\"] / df_family_client_base[\"gross_flow_qty_sum\"],\n", + " np.nan\n", + ")\n", + "\n", + "df_family_client_base[\"exit_rate_per_isin_family\"] = np.where(\n", + " df_family_client_base[\"avg_n_isin_held\"] > 0,\n", + " df_family_client_base[\"full_exit_count\"] / df_family_client_base[\"avg_n_isin_held\"],\n", + " np.nan\n", + ")\n", + "\n", + "df_family_client_base[\"family_aum_final_to_peak\"] = np.where(\n", + " df_family_client_base[\"family_aum_qty_max\"] > 0,\n", + " df_family_client_base[\"family_aum_qty_last\"] / df_family_client_base[\"family_aum_qty_max\"],\n", + " np.nan\n", + ")\n", + "\n", + "df_family_client_base[\"aum_drawdown_last\"] = df_family_client_base[\"aum_drawdown_last\"].clip(0, 1)\n", + "df_family_client_base[\"family_aum_final_to_peak\"] = df_family_client_base[\"family_aum_final_to_peak\"].clip(0, 1)\n", + "\n", + "# Compact but rich feature list : Final feature list kept\n", + "family_cluster_features = [\n", + " \"flow_freq\",\n", + " \"gross_flow_to_aum_family\",\n", + " \"avg_n_isin_held\",\n", + " \"exit_rate_per_isin_family\",\n", + " \"flow_direction_balance\",\n", + " \"log_family_aum_val_mean\",\n", + " \"months_since_last_tx_family\",\n", + " \"family_share_of_client_aum_mean\",\n", + " \"turnover_mean3_avg\",\n", + " \"turnover_mean6_avg\",\n", + " \"turnover_mean12_avg\",\n", + " \"corr_flow_ret_3m\",\n", + " \"corr_flow_ret_6m\",\n", + " \"buy_after_good_perf_share_3m\",\n", + " \"buy_after_good_perf_share_6m\",\n", + "]\n", + "\n", + "print(\"Number of clustering features:\", len(family_cluster_features))\n", + "print(family_cluster_features)" + ] + }, + { + "cell_type": "markdown", + "id": "e455f9cf", + "metadata": { + "id": "e455f9cf" + }, + "source": [ + "---\n", + "## 12. Clustering preprocessing\n", + "\n", + "Before clustering, the feature matrix is prepared as follows:\n", + "\n", + "1. feature-wise median imputation,\n", + "2. MAD-based winsorization on selected skewed variables,\n", + "3. clipping of bounded variables when relevant,\n", + "4. robust scaling.\n", + "\n", + "This preprocessing aims to reduce the influence of outliers while preserving the relative behavioral structure of the data." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "8b43106b", + "metadata": { + "id": "8b43106b" + }, + "outputs": [], + "source": [ + "# Robust clustering helpers\n", + "\n", + "from sklearn.decomposition import PCA\n", + "from sklearn.impute import SimpleImputer\n", + "\n", + "def prepare_family_matrix(df_family, features, winsorize_cols=None):\n", + " X = df_family[features].copy()\n", + "\n", + " # Median imputation\n", + " imputer = SimpleImputer(strategy=\"median\")\n", + " X_imp = pd.DataFrame(imputer.fit_transform(X), columns=features, index=X.index)\n", + "\n", + " # Broad winsorization, inspired by the original notebook\n", + " if winsorize_cols is None:\n", + " winsorize_cols = [\n", + " \"gross_flow_to_aum_family\",\n", + " \"avg_n_isin_held\",\n", + " \"exit_rate_per_isin_family\",\n", + " \"months_since_last_tx_family\",\n", + " \"family_share_of_client_aum_mean\",\n", + " \"turnover_mean3_avg\",\n", + " \"turnover_mean6_avg\",\n", + " \"turnover_mean12_avg\",\n", + " ]\n", + "\n", + " for col in winsorize_cols:\n", + " if col in X_imp.columns:\n", + " X_imp[col] = winsorize_mad(X_imp[col], n_sigma=3)\n", + "\n", + " # Variables bounded by construction\n", + " for col in [\n", + " \"flow_freq\",\n", + " \"family_share_of_client_aum_mean\",\n", + " \"buy_after_good_perf_share_3m\",\n", + " \"buy_after_good_perf_share_6m\",\n", + " \"family_aum_final_to_peak\"\n", + " ]:\n", + " if col in X_imp.columns:\n", + " X_imp[col] = np.clip(X_imp[col], 0, 1)\n", + "\n", + " # Correlations should live in [-1, 1]\n", + " for col in [\"corr_flow_ret_3m\", \"corr_flow_ret_6m\", \"flow_direction_balance\"]:\n", + " if col in X_imp.columns:\n", + " X_imp[col] = np.clip(X_imp[col], -1, 1)\n", + "\n", + " # Same logic as in the original notebook:\n", + " # clip and log-transform gross flow intensity\n", + " if \"gross_flow_to_aum_family\" in X_imp.columns:\n", + " vals = X_imp[\"gross_flow_to_aum_family\"].to_numpy(dtype=float)\n", + " vals = np.clip(vals, 0, np.nanpercentile(vals, 90))\n", + " X_imp[\"gross_flow_to_aum_family\"] = np.log1p(vals)\n", + "\n", + " scaler = RobustScaler()\n", + " X_scaled = scaler.fit_transform(X_imp)\n", + "\n", + " return X_imp, X_scaled, imputer, scaler\n", + "\n", + "\n", + "def fit_clustering_model(X_scaled, k, method=\"kmeans\", random_state=42):\n", + " \"\"\"Fit one clustering model and return the fitted model and labels.\"\"\"\n", + " if method == \"kmeans\":\n", + " model = KMeans(n_clusters=k, random_state=random_state, n_init=30)\n", + " labels = model.fit_predict(X_scaled)\n", + " inertia = model.inertia_\n", + "\n", + " elif method == \"gmm\":\n", + " model = GaussianMixture(\n", + " n_components=k,\n", + " covariance_type=\"full\",\n", + " random_state=random_state,\n", + " n_init=5\n", + " )\n", + " labels = model.fit_predict(X_scaled)\n", + "\n", + " # proxy inertia for plotting consistency: within-cluster SSE around empirical centroids\n", + " inertia = 0.0\n", + " for cl in np.unique(labels):\n", + " pts = X_scaled[labels == cl]\n", + " center = pts.mean(axis=0)\n", + " inertia += ((pts - center) ** 2).sum()\n", + "\n", + " elif method == \"agglo\":\n", + " model = AgglomerativeClustering(n_clusters=k, linkage=\"ward\")\n", + " labels = model.fit_predict(X_scaled)\n", + "\n", + " # proxy inertia for plotting consistency\n", + " inertia = 0.0\n", + " for cl in np.unique(labels):\n", + " pts = X_scaled[labels == cl]\n", + " center = pts.mean(axis=0)\n", + " inertia += ((pts - center) ** 2).sum()\n", + "\n", + " else:\n", + " raise ValueError(f\"Unknown method: {method}\")\n", + "\n", + " return model, labels, inertia\n", + "\n", + "\n", + "def evaluate_k_range(\n", + " X_scaled,\n", + " k_min=2,\n", + " k_max=6,\n", + " min_cluster_size=10,\n", + " min_cluster_share=0.02,\n", + " method=\"kmeans\",\n", + " random_state=42\n", + "):\n", + " n = X_scaled.shape[0]\n", + " k_max = min(k_max, max(2, n - 1))\n", + "\n", + " rows = []\n", + " for k in range(k_min, k_max + 1):\n", + " if k >= n:\n", + " continue\n", + "\n", + " _, labels, inertia = fit_clustering_model(\n", + " X_scaled,\n", + " k=k,\n", + " method=method,\n", + " random_state=random_state\n", + " )\n", + "\n", + " cluster_sizes = pd.Series(labels).value_counts().sort_index()\n", + " min_size = int(cluster_sizes.min())\n", + " min_size_required = max(min_cluster_size, int(np.ceil(min_cluster_share * n)))\n", + "\n", + " valid = (min_size >= min_size_required)\n", + "\n", + " if valid and len(np.unique(labels)) >= 2:\n", + " sil = silhouette_score(X_scaled, labels)\n", + " dbi = davies_bouldin_score(X_scaled, labels)\n", + " else:\n", + " sil = np.nan\n", + " dbi = np.nan\n", + "\n", + " rows.append({\n", + " \"k\": k,\n", + " \"silhouette\": sil,\n", + " \"davies_bouldin\": dbi,\n", + " \"min_cluster_size\": min_size,\n", + " \"min_cluster_required\": min_size_required,\n", + " \"inertia\": inertia,\n", + " \"valid_k\": valid\n", + " })\n", + "\n", + " return pd.DataFrame(rows)\n", + "\n", + "\n", + "def choose_best_k(metrics_df):\n", + " valid = metrics_df[metrics_df[\"valid_k\"]].dropna(subset=[\"silhouette\"]).copy()\n", + " if len(valid) == 0:\n", + " return None\n", + " return int(valid.sort_values([\"silhouette\", \"davies_bouldin\"], ascending=[False, True]).iloc[0][\"k\"])\n", + "\n", + "\n", + "def compare_methods_for_family(\n", + " df_base,\n", + " family_name,\n", + " features,\n", + " methods=(\"kmeans\", \"gmm\", \"agglo\"),\n", + " k_min=4,\n", + " k_max=10,\n", + " min_clients=40,\n", + " min_cluster_size=10,\n", + " min_cluster_share=0.02,\n", + " random_state=42\n", + "):\n", + " rows = []\n", + "\n", + " for method in methods:\n", + " res = run_family_clustering(\n", + " df_base=df_base,\n", + " family_name=family_name,\n", + " features=features,\n", + " method=method,\n", + " k_min=k_min,\n", + " k_max=k_max,\n", + " min_clients=min_clients,\n", + " min_cluster_size=min_cluster_size,\n", + " min_cluster_share=min_cluster_share,\n", + " random_state=random_state,\n", + " make_plots=False\n", + " )\n", + "\n", + " if res is None:\n", + " rows.append({\n", + " \"method\": method,\n", + " \"family\": family_name,\n", + " \"n_clients\": np.nan,\n", + " \"best_k\": np.nan,\n", + " \"silhouette\": np.nan,\n", + " \"davies_bouldin\": np.nan,\n", + " \"min_cluster_size\": np.nan,\n", + " \"status\": \"skip\"\n", + " })\n", + " continue\n", + "\n", + " best_row = res[\"metrics_df\"].loc[res[\"metrics_df\"][\"k\"] == res[\"best_k\"]].iloc[0]\n", + " rows.append({\n", + " \"method\": method,\n", + " \"family\": family_name,\n", + " \"n_clients\": res[\"n_clients\"],\n", + " \"best_k\": res[\"best_k\"],\n", + " \"silhouette\": best_row[\"silhouette\"],\n", + " \"davies_bouldin\": best_row[\"davies_bouldin\"],\n", + " \"min_cluster_size\": int(best_row[\"min_cluster_size\"]),\n", + " \"status\": \"ok\"\n", + " })\n", + "\n", + " return pd.DataFrame(rows)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "ceb97cfd", + "metadata": { + "id": "ceb97cfd" + }, + "outputs": [], + "source": [ + "# Family clustering pipeline\n", + "\n", + "def run_family_clustering(\n", + " df_base,\n", + " family_name,\n", + " features,\n", + " method=\"kmeans\",\n", + " k_min=4,\n", + " k_max=10,\n", + " min_clients=40,\n", + " min_cluster_size=10,\n", + " min_cluster_share=0.02,\n", + " random_state=42,\n", + " make_plots=True\n", + "):\n", + " df_family = df_base[df_base[\"fund_family\"] == family_name].copy()\n", + "\n", + " # Quality filters\n", + " df_family = df_family[\n", + " (df_family[\"n_months\"] >= 6) &\n", + " (df_family[\"family_aum_val_mean\"] > 0)\n", + " ].copy()\n", + "\n", + " # Stronger quantile filtering\n", + " for col in [\"family_aum_val_mean\", \"gross_flow_qty_sum\", \"n_tx_total\"]:\n", + " if col in df_family.columns and df_family[col].notna().sum() > 0:\n", + " cap = df_family[col].quantile(0.99)\n", + " df_family = df_family[df_family[col] <= cap].copy()\n", + "\n", + " n_clients = df_family[ID_COL].nunique()\n", + " if n_clients < min_clients:\n", + " print(f\"[SKIP] {family_name} ({method}): only {n_clients} usable clients.\")\n", + " return None\n", + "\n", + " X_imp, X_scaled, imputer, scaler = prepare_family_matrix(df_family, features)\n", + "\n", + " metrics_df = evaluate_k_range(\n", + " X_scaled,\n", + " k_min=k_min,\n", + " k_max=k_max,\n", + " min_cluster_size=min_cluster_size,\n", + " min_cluster_share=min_cluster_share,\n", + " method=method,\n", + " random_state=random_state\n", + " )\n", + "\n", + " if len(metrics_df) == 0:\n", + " print(f\"[SKIP] {family_name} ({method}): no K evaluated.\")\n", + " return None\n", + "\n", + " best_k = choose_best_k(metrics_df)\n", + " if best_k is None:\n", + " print(f\"[SKIP] {family_name} ({method}): no valid K with cluster size constraints.\")\n", + " return None\n", + "\n", + " model, labels, _ = fit_clustering_model(\n", + " X_scaled,\n", + " k=best_k,\n", + " method=method,\n", + " random_state=random_state\n", + " )\n", + "\n", + " df_family[\"cluster\"] = labels\n", + "\n", + " cluster_sizes = (\n", + " df_family[\"cluster\"]\n", + " .value_counts()\n", + " .sort_index()\n", + " .rename_axis(\"cluster\")\n", + " .reset_index(name=\"n_clients\")\n", + " )\n", + "\n", + " cluster_profile = (\n", + " df_family.groupby(\"cluster\")[features]\n", + " .median()\n", + " .sort_index()\n", + " ) # median feature values by cluster\n", + "\n", + " # Churn proxies at family level\n", + " df_family[\"churn_hard\"] = (df_family[\"family_aum_final_to_peak\"] < 0.10).astype(int)\n", + " df_family[\"churn_soft\"] = (\n", + " (df_family[\"family_aum_final_to_peak\"] < 0.40) &\n", + " (df_family[\"aum_drawdown_last\"] > 0.40)\n", + " ).astype(int)\n", + " df_family[\"churn_warning\"] = (\n", + " (df_family[\"flow_direction_balance\"] < 0) &\n", + " (df_family[\"aum_drawdown_last\"] > 0.20)\n", + " ).astype(int)\n", + "\n", + " churn_profile = (\n", + " df_family.groupby(\"cluster\")[[\"churn_hard\", \"churn_soft\", \"churn_warning\"]]\n", + " .mean()\n", + " .sort_index()\n", + " )\n", + "\n", + " # PCA for visualization only\n", + " pca = PCA(n_components=2, random_state=random_state)\n", + " coords = pca.fit_transform(X_scaled)\n", + " df_family[\"pca1\"] = coords[:, 0]\n", + " df_family[\"pca2\"] = coords[:, 1]\n", + "\n", + " result = {\n", + " \"family\": family_name,\n", + " \"method\": method,\n", + " \"n_clients\": n_clients,\n", + " \"best_k\": best_k,\n", + " \"metrics_df\": metrics_df,\n", + " \"df_family\": df_family,\n", + " \"cluster_profile\": cluster_profile,\n", + " \"cluster_sizes\": cluster_sizes,\n", + " \"churn_profile\": churn_profile,\n", + " \"features\": features,\n", + " \"pca_explained_var\": pca.explained_variance_ratio_,\n", + " }\n", + "\n", + " if make_plots:\n", + " fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n", + " axes[0].plot(metrics_df[\"k\"], metrics_df[\"silhouette\"], marker=\"o\")\n", + " axes[0].set_title(f\"{family_name} - {method} - Silhouette\")\n", + " axes[0].set_xlabel(\"k\")\n", + "\n", + " axes[1].plot(metrics_df[\"k\"], metrics_df[\"davies_bouldin\"], marker=\"o\")\n", + " axes[1].set_title(f\"{family_name} - {method} - Davies-Bouldin\")\n", + " axes[1].set_xlabel(\"k\")\n", + "\n", + " axes[2].plot(metrics_df[\"k\"], metrics_df[\"inertia\"], marker=\"o\")\n", + " axes[2].set_title(f\"{family_name} - {method} - Inertia / proxy SSE\")\n", + " axes[2].set_xlabel(\"k\")\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + " plot_heatmap(\n", + " df_family,\n", + " profile_vars=features,\n", + " cluster_col=\"cluster\",\n", + " title=f\"{family_name} - {method} - Cluster signatures\",\n", + " figsize=(18, 5)\n", + " )\n", + "\n", + " plt.figure(figsize=(7, 5))\n", + " sns.scatterplot(\n", + " data=df_family,\n", + " x=\"pca1\", y=\"pca2\",\n", + " hue=\"cluster\",\n", + " palette=\"tab10\",\n", + " alpha=0.8\n", + " )\n", + " plt.title(\n", + " f\"{family_name} - {method} - PCA projection \"\n", + " f\"(explained var: {result['pca_explained_var'][0]:.2f}, {result['pca_explained_var'][1]:.2f})\"\n", + " )\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + " plt.figure(figsize=(6, 4))\n", + " sns.barplot(data=cluster_sizes, x=\"cluster\", y=\"n_clients\")\n", + " plt.title(f\"{family_name} - {method} - Cluster sizes\")\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + " churn_long = churn_profile.reset_index().melt(\n", + " id_vars=\"cluster\",\n", + " value_vars=[\"churn_hard\", \"churn_soft\", \"churn_warning\"],\n", + " var_name=\"churn_type\",\n", + " value_name=\"rate\"\n", + " )\n", + "\n", + " plt.figure(figsize=(8, 4))\n", + " sns.barplot(data=churn_long, x=\"cluster\", y=\"rate\", hue=\"churn_type\")\n", + " plt.title(f\"{family_name} - {method} - Churn analysis by cluster\")\n", + " plt.ylabel(\"Rate\")\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + " print(f\"\\n=== {family_name} | method={method} ===\")\n", + " print(f\"Clients after filtering: {n_clients}\")\n", + " print(f\"Chosen K: {best_k}\")\n", + " print(cluster_sizes)\n", + " print(\"\\nChurn profile:\")\n", + " print(churn_profile.round(3))\n", + "\n", + " return result\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "b1161a03", + "metadata": { + "id": "b1161a03", + "outputId": "2166c9db-fcde-40b9-eb97-8c49c8de095c" + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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555+rTJky6tevX4bl5OQykEeOHJGHh4c8PDzk7++vDz/8UG3atNGSJUskmW/vGzdu6MKFC6pSpYrc3NzM6rib7F6LzHTv3t2s/vTXp3v37qY2W1tbNWjQwGy7bdq0Sba2turfv7/Z/AYNGiSj0ajNmzffddn/+c9/zJb92GOPKTU1VSdPnpR069fWS5cuqVOnTjp//rzpYWtrq0aNGmnHjh05Xs+cSkhI0JNPPqkjR44oKirKbF+7XY8ePUx/p2+fO7ebm5tbhv3ts88+k7+/v2rUqGG2To8//rgkma1Tbt6DOdnX3dzcdOjQIf3999+53Co5d/ny5Vx9zkhSiRIlzM4/srOzU8OGDc1qzy17e3uFhoZmOqxjx44qVaqU6Xn6drvb8nL6WZEuNDTU7ITozJZz+2uclJSk8+fPq3HjxjIajfrll1+yrMXV1VXPPfec6Rf+9JrWrFmjdu3amfrpu7m5KSkpKVfd3dKPSGzdulVXr17N8XTpihUrpjfeeMP03M7OTm+88YbOnj2rffv2SZKCg4NVrlw5rVy50jTe77//rt9++81sX8jM559/LoPBoDFjxmQYlheX5HVzc5Mkff3117px40aupr148aK+/fZbvfTSS0pMTDS9vy9cuKCQkBD9/fffOn36tNk0PXv2NDtqgwcHwQKFlouLiyQpMTExx9Ps3LlTwcHBcnZ2lpubmzw8PDRixAhJyjRYZKVixYpmz9P/0/Lx8cnQnpaWlm0f3pMnT6pKlSoZ2jNry2zZklSqVCn9+++/pudpaWmaPn26qlatKnt7e5UpU0YeHh767bffzGo5duyYqlevrmLF7q1XpK+vr7Zt26bt27frxx9/VFxcnL7++muVKVNG0q2uN6NHjzadr5Bex6VLl3Lcr1nK/rXITG5en9u328mTJ1WuXLkMXyLTu2Wlh4PcLDv9y176ctK/AD/++OOmUJb++Oabb3T27Nks552amqq4uDizR0pKyl1rGjBggPbs2aPt27ebuhDlpHZXV1c5ODiYXs/b22/fbn///bcOHTqUYX2qVasmSWbrlJv3YE729XfeeUeXLl1StWrVFBAQoMGDB+u3337Ldnvkdju6uLjk6nNGunXFtDu/EN5Ze26VL18+y6sc3W2/y0pOPytys5zY2Fh169ZN7u7uKlGihDw8PNS8eXNJGV/jO3Xp0kWxsbH64YcfJEnbt29XfHy8WTe03r17q1q1amrdurUqVKig119/XVu2bMl2vpUqVVJYWJgWLVqkMmXKKCQkRLNnz87x51C5cuUynICcvn+nn8dgY2OjV199VRs2bDCFl5UrV8rBwcF0HllWjh07pnLlysnd3T1H9eRW8+bN9cILL2jcuHEqU6aMnnvuOS1dujTDOVCZOXr0qIxGo0aNGpXhPZ4ehO783MrtZzaKDs6xQKHl4uKicuXK6ffff8/R+MeOHVOrVq1Uo0YNvf/++/Lx8ZGdnZ02bdqk6dOnZ7j3QnZXgMrql5is2tN/fcsLOVnGxIkTNWrUKL3++ut699135e7uLhsbGw0YMCDX95jIjrOzs4KDg7Mc3q9fPy1dulQDBgxQUFCQXF1dZTAY9PLLL+eqjtxejSs3r09evjbZLTt9OenrvWLFCnl7e2cYL7uQd+rUqQz/Ye/YseOul4Z87rnntHr1ak2aNEnLly/P8jK5mdWek/0tLS1NAQEBev/99zMdNz3Q5fY9mJNlN2vWTMeOHdMXX3yhb775RosWLdL06dM1b948syMwt8vtdqxRo4Z++eUXnTp1KkM4zUpOas/ql+jU1NRM2+/lM+lu+3duPyvutpzU1FQ98cQTunjxooYOHaoaNWrI2dlZp0+fVrdu3e76vg8JCZGXl5c+/vhjNWvWTB9//LG8vb3NPmc8PT114MABbd26VZs3b9bmzZu1dOlSdenSRR999FGW8542bZq6detm2lf69++viIgI7dq1K89OMO7SpYumTp2qDRs2qFOnTlq1apXpYgn5Iaf7UPqNMnft2qWvvvpKW7du1euvv65p06Zp165dKlGiRJbLSH/NwsPDszxyfOcPYXlxBUUUTgQLFGrPPPOMFixYoOjoaAUFBWU77ldffaXk5GR9+eWXZr+65UfXk9x46KGHMlxVRVKmbTm1du1atWzZUosXLzZrv3Tpktmvz35+fvr5559148aNfLk07Nq1a9W1a1ezqwhdv35dly5dMhsvv+6+m1sPPfSQtm/frsTERLOjFkeOHDENt1T6CfGenp7ZhrLMeHt7Z+j+kdVVdG7Xrl07Pfnkk+rWrZtKliyZ6VWYLOHn56dff/1VrVq1yva1zK/3oLu7u0JDQxUaGqorV66oWbNmGjt2bJbBIrfbsW3btvrkk0/08ccfa/jw4RbVerv0X/vvfD/k5MhYXsnpZ0VOHTx4UH/99Zc++ugj00URJOW425Ktra1eeeUVLVu2TJMnT9aGDRsy7VZjZ2entm3bqm3btkpLS1Pv3r01f/58jRo1KsujvZIUEBCggIAAvf322/rpp5/UpEkTzZs3T+PHj8+2rn/++SfDZVPT71ty+8UWateurXr16mnlypWqUKGCYmNj9eGHH951vf38/LR161ZdvHgxV0ctbt+H0rs7SVnvQ48++qgeffRRTZgwQatWrdKrr76q1atXq0ePHlm+dytXrixJKl68eK4/s/DgoSsUCrUhQ4bI2dlZPXr0UHx8fIbhx44dM12CMP0/ptt/wUtISNDSpUsLptgshISEKDo6WgcOHDC1Xbx40ayfbm7Z2tpm+KXys88+y9AP9oUXXtD58+c1a9asDPPIi1/yM6vjww8/zPBrWvp/1nd+wSpoTz/9tFJTUzNsj+nTp8tgMNzz1XxuFxISIhcXF02cODHTvs6ZXZo2nYODg4KDg80et/erz06XLl30wQcfaN68eRo6dOg915+Zl156SadPn9bChQszDLt27ZrpqjD58R68cOGC2fMSJUqoSpUq2XbxyO12fPHFFxUQEKAJEyYoOjo6w/DExESNHDky17Wnh8zvv//e1JaamlqgN/TM6WdFbuYnmb/GRqPR7FKwd9O5c2f9+++/euONN3TlypUM5yfc+Zrb2NiYrl6U1et++fLlDOe6BQQEyMbGJkfdgW7evGm6zLV06ypT8+fPl4eHh+rXr5+h/m+++UYzZsxQ6dKlc/S58cILL8hoNJpuUHe77D6LM9uHkpKSMhy5+ffffzPMJ/1cq/T1T78nyp2fw56enmrRooXmz5+vM2fOZKghu88sPHg4YoFCzc/PT6tWrTJdJvP2O2//9NNP+uyzz0z3GnjyySdNv3Kl/4e1cOFCeXp6ZvphWVCGDBmijz/+WE888YT69etnutxsxYoVdfHixXv6Nf+ZZ57RO++8o9DQUDVu3FgHDx7UypUrTb88pevSpYuWL1+usLAw7d69W4899piSkpK0fft29e7dW88995xF6/bMM89oxYoVcnV1Vc2aNRUdHa3t27erdOnSZuPVrVtXtra2mjx5shISEmRvb2+610FBatu2rVq2bKmRI0cqJiZGgYGB+uabb/TFF19owIAB93T53Tu5uLho7ty56ty5sx5++GG9/PLL8vDwUGxsrDZu3KgmTZpkGvTyQt++fXX58mWNHDlSrq6upnMbLNW5c2d9+umn6tWrl3bs2KEmTZooNTVVR44c0aeffmq6B0l+vAdr1qypFi1aqH79+nJ3d9fevXu1du1a9e3bN0/WTbr1S+26desUHBysZs2a6aWXXlKTJk1UvHhxHTp0SKtWrVKpUqUyvZdFdmrVqqVHH31Uw4cPN/1SvXr16mwv9pDXcvpZkVM1atSQn5+fwsPDdfr0abm4uOjzzz/P1bkl9erVU+3atU0XBXj44YfNhvfo0UMXL17U448/rgoVKujkyZP68MMPVbduXbPLVN/u22+/Vd++fdWhQwdVq1ZNN2/e1IoVK2Rra6sXXnjhrjWVK1dOkydPVkxMjKpVq6Y1a9bowIEDWrBgQYajva+88oqGDBmi9evX680338zR0eCWLVuqc+fO+uCDD/T333/rqaeeUlpamn744Qe1bNkyy/35ySefVMWKFdW9e3cNHjxYtra2WrJkiekzJd1HH32kOXPmqH379vLz81NiYqIWLlwoFxcXPf3005JudV+qWbOm1qxZo2rVqsnd3V21a9dW7dq1NXv2bDVt2lQBAQHq2bOnKleurPj4eEVHR+u///1vpvdIwoOJYIFC79lnn9Vvv/2mqVOn6osvvtDcuXNlb2+vOnXqaNq0aerZs6ekWzdYWrt2rd5++22Fh4fL29tbb775pjw8PDJczakg+fj4aMeOHerfv78mTpwoDw8P9enTR87Ozurfv/893T12xIgRSkpK0qpVq7RmzRo9/PDD2rhxo4YNG2Y2nq2trTZt2mQ6LP7555+bbjAWEBBg8brNnDlTtra2Wrlypa5fv64mTZpo+/btGfrpent7a968eYqIiFD37t2VmpqqHTt2FHiwsLGx0ZdffqnRo0drzZo1Wrp0qXx9fTV16lQNGjQoz5bzyiuvqFy5cpo0aZKmTp2q5ORklS9fXo899liWV/3JKyNGjFBCQoIpXNx574h7YWNjow0bNmj69Olavny51q9fLycnJ1WuXFlvvfWW6STX/HgP9u/fX19++aW++eYbJScn66GHHtL48eM1ePBgi9frdlWqVNGBAwc0ffp0rV+/Xhs2bFBaWpqqVKmiHj16ZLiSWE6tXLlSb7zxhiZNmiQ3Nzd1795dLVu2zLN7cNxNTj8rcqp48eL66quvTOcvODg4qH379urbt2+Ouu2l69Kli4YMGZLpvUNee+01LViwQHPmzNGlS5fk7e2tjh07auzYsVmePxQYGKiQkBB99dVXOn36tJycnBQYGKjNmzfr0UcfvWs9pUqV0kcffaR+/fpp4cKF8vLy0qxZs0z/v9zOy8tLTz75pDZt2pSre58sXbpUderU0eLFizV48GC5urqqQYMG2d6nqXjx4lq/fr169+6tUaNGydvbWwMGDFCpUqXMPkuaN2+u3bt3a/Xq1YqPj5erq6saNmyolStXmp1vtGjRIvXr108DBw5USkqKxowZo9q1a6tmzZrau3evxo0bp2XLlunChQvy9PRUvXr1sr1PEx48BmNen7kIIE8MGDBA8+fP15UrV7hsH4AHysyZMzVw4EDFxMRkenWw+1379u118OBBi86VAwojzrEA7gPXrl0ze37hwgWtWLFCTZs2JVQAeKAYjUYtXrxYzZs3L5Sh4syZM9q4cWOujlYARQVdoYD7QFBQkFq0aCF/f3/Fx8dr8eLFunz5skaNGmXt0gCgQCQlJenLL7/Ujh07dPDgQX3xxRfWLilXTpw4oZ07d2rRokUqXry42Q31gAcFwQK4Dzz99NNau3atFixYIIPBoIcffliLFy9Ws2bNrF0aABSIc+fO6ZVXXpGbm5tGjBihZ5991tol5cp3332n0NBQVaxYUR999FGm96kBijqrnmPx/fffa+rUqdq3b5/OnDmj9evXq127dtlOExUVpbCwMB06dEg+Pj56++23TVf9AQAAAGAdVj3HIikpSYGBgZo9e3aOxj9x4oTatGmjli1b6sCBAxowYIB69OihrVu35nOlAAAAALJz31wVymAw3PWIxdChQ7Vx40b9/vvvpraXX35Zly5d0pYtWwqgSgAAAACZKVTnWERHR2e4nXxISIgGDBiQ43mkpaXpn3/+UcmSJe/pxmMAAADAg8JoNCoxMVHlypXL8l4x6QpVsIiLi5OXl5dZm5eXly5fvqxr167J0dExwzTJycmm29VL0unTp1WzZs18rxUAAAAoKk6dOqUKFSpkO06hChb3IiIiQuPGjcvQfurUKbm4uFihIgAAAKBwuHz5snx8fFSyZMm7jluogoW3t7fi4+PN2uLj4+Xi4pLp0QpJGj58uMLCwkzP0zeOi4sLwQIAAADIgZycQlCogkVQUJA2bdpk1rZt2zYFBQVlOY29vb3s7e3zuzQAAADggWbVy81euXJFBw4c0IEDByTdupzsgQMHFBsbK+nW0YYuXbqYxu/Vq5eOHz+uIUOG6MiRI5ozZ44+/fRTDRw40BrlAwAAAPh/Vg0We/fuVb169VSvXj1JUlhYmOrVq6fRo0dLks6cOWMKGZJUqVIlbdy4Udu2bVNgYKCmTZumRYsWKSQkxCr1AwAAALjlvrmPRUG5fPmyXF1dlZCQkO05Fqmpqbpx40YBVoaizs7O7q6XaQMAALif5PS7s1TIzrEoCEajUXFxcbp06ZK1S0ERY2Njo0qVKsnOzs7apQAAAOQ5gsUd0kOFp6ennJycuIke8kT6jRnPnDmjihUrsl8BAIAih2Bxm9TUVFOoKF26tLXLQRHj4eGhf/75Rzdv3lTx4sWtXQ4AAECeosP3bdLPqXBycrJyJSiK0rtApaamWrkSAACAvEewyATdVJAf2K8AAEBRRrAAAAAAYDGCRREQExMjg8FgutEgAAAAUNAIFshXy5Ytk5ubm7XLAAAAQD7jqlDIUkpKCvdcQKER+06AtUuwSMXRB61dAgAAFuGIRSGSlpamKVOmqEqVKrK3t1fFihU1YcIE0/Djx4+rZcuWcnJyUmBgoKKjo03Dxo4dq7p165rNb8aMGfL19TU979atm9q1a6cJEyaoXLlyql69uqmb1bp167Kcd1aioqIUGhqqhIQEGQwGGQwGjR07Vu+8845q166dYfy6detq1KhRZrWMGzdOHh4ecnFxUa9evZSSkmK2PSIiIlSpUiU5OjoqMDBQa9euzenmBAAAQB7iiEUhMnz4cC1cuFDTp09X06ZNdebMGR05csQ0fOTIkXrvvfdUtWpVjRw5Up06ddLRo0dVrFjOX+bIyEi5uLho27ZtZu33Mu/GjRtrxowZGj16tP78809JUokSJXTp0iWNGzdOe/bs0SOPPCJJ+uWXX/Tbb79p3bp1ZrU4ODgoKipKMTExCg0NVenSpU1hKiIiQh9//LHmzZunqlWr6vvvv9drr70mDw8PNW/ePMfrDAAAAMsRLAqJxMREzZw5U7NmzVLXrl0lSX5+fmratKliYmIkSeHh4WrTpo0kady4capVq5aOHj2qGjVq5Hg5zs7OWrRokakLlCXztrOzk6urqwwGg7y9vU3tJUqUUEhIiJYuXWoKFkuXLlXz5s1VuXJls+mXLFkiJycn1apVS++8844GDx6sd999Vzdu3NDEiRO1fft2BQUFSZIqV66sH3/8UfPnzydYAAAAFDC6QhUShw8fVnJyslq1apXlOHXq1DH9XbZsWUnS2bNnc7WcgICATM+ryIt5365nz5765JNPdP36daWkpGjVqlV6/fXXzcYJDAw0u1lhUFCQrly5olOnTuno0aO6evWqnnjiCZUoUcL0WL58uY4dO3bPdQEAAODecMSikHB0dLzrOMWLFzf9nX4ztrS0NEmSjY2NjEaj2fjpdxq/nbOzc67nfS/atm0re3t7rV+/XnZ2drpx44ZefPHFHE9/5coVSdLGjRtVvnx5s2H29vb3XBcAAADuDcGikKhataocHR0VGRmpHj165Hp6Dw8PxcXFyWg0moJBQdz3ws7OTqmpqRnaixUrpq5du2rp0qWys7PTyy+/nCE8/frrr7p27ZqpfdeuXSpRooR8fHzk7u4ue3t7xcbG0u0JAADgPkCwKCQcHBw0dOhQDRkyRHZ2dmrSpInOnTunQ4cOZds9Kl2LFi107tw5TZkyRS+++KK2bNmizZs3y8XFJV/r9vX11ZUrVxQZGWnq2pTevalHjx7y9/eXJO3cuTPDtCkpKerevbvefvttxcTEaMyYMerbt69sbGxUsmRJhYeHa+DAgUpLS1PTpk2VkJCgnTt3ysXFxXQeCgAAAAoG51gUIqNGjdKgQYM0evRo+fv7q2PHjjk+z8Hf319z5szR7NmzFRgYqN27dys8PDyfK751ZahevXqpY8eO8vDw0JQpU0zDqlatqsaNG6tGjRpq1KhRhmlbtWqlqlWrqlmzZurYsaOeffZZjR071jT83Xff1ahRoxQRESF/f3899dRT2rhxoypVqpTv6wUAAABzBuOdHe+LuMuXL8vV1VUJCQkZfq2/fv26Tpw4oUqVKsnBwcFKFT44jEajqlatqt69eyssLMxsWLdu3XTp0iVt2LDBOsXlA/av/MUN8gAAyHvZfXe+E12hYBXnzp3T6tWrFRcXp9DQUGuXAwAAAAsRLGCR1q1b64cffsh02IgRIzRixIhMh3l6eqpMmTJasGCBSpUqlZ8lAgAAK+Fo8oOFYAGLLFq0SNeuXct0mLu7e5bT3a0H3rJlyywpCwAAAAWMYAGL3HkPCQAAADyYCBYAJEn1By+3dgkWWV/S2hUAAPBg43KzAAAAACxGsAAAAABgMYIFAAAAAIsRLAAAAABYjGBRxMXExMhgMOjAgQPWLiWDZcuWyc3NrcCWN3bsWNWtW7fAlgcAAPAg4apQOVTQV8zZN7VLgS4PAAAAsARHLHBPUlJSrF1Clm7cuGHtEgAAAB44BIsiIi0tTVOmTFGVKlVkb2+vihUrasKECabhx48fV8uWLeXk5KTAwEBFR0ebhmXWRWjGjBny9fU1Pe/WrZvatWunCRMmqFy5cqpevbqpm9W6deuynHdObN26Vf7+/ipRooSeeuopnTlzxjRsz549euKJJ1SmTBm5urqqefPm2r9/v9n0BoNBc+fO1bPPPitnZ2fTek+aNEleXl4qWbKkunfvruvXr+eqLgAAAOQcwaKIGD58uCZNmqRRo0bpjz/+0KpVq+Tl5WUaPnLkSIWHh+vAgQOqVq2aOnXqpJs3b+ZqGZGRkfrzzz+1bds2ff3113ky76tXr+q9997TihUr9P333ys2Nlbh4eGm4YmJieratat+/PFH7dq1S1WrVtXTTz+txMREs/mMHTtW7du318GDB/X666/r008/1dixYzVx4kTt3btXZcuW1Zw5c3K1vgAAAMg5zrEoAhITEzVz5kzNmjVLXbt2lST5+fmpadOmiomJkSSFh4erTZs2kqRx48apVq1aOnr0qGrUqJHj5Tg7O2vRokWys7OTpDyZ940bNzRv3jz5+flJkvr27at33nnHNPzxxx83G3/BggVyc3PTd999p2eeecbU/sorryg0NNT0/OWXX1b37t3VvXt3SdL48eO1fft2jloAAADkE4JFEXD48GElJyerVatWWY5Tp04d099ly5aVJJ09ezZXwSIgIMAUKvJq3k5OTqZQkT792bNnTc/j4+P19ttvKyoqSmfPnlVqaqquXr2q2NhYs/k0aNDA7Pnhw4fVq1cvs7agoCDt2LHjrjUBgLXFvhNg7RLuWcXRB61dAgArIVgUAY6Ojncdp3jx4qa/DQaDpFvnZUiSjY2NjEaj2fiZnQDt7Oyc63nnpq706W+vpWvXrrpw4YJmzpyphx56SPb29goKCspw8nhWtQEAAKBgcI5FEVC1alU5OjoqMjLynqb38PBQXFyc2Rf6++W+Fzt37lT//v319NNPq1atWrK3t9f58+fvOp2/v79+/vlns7Zdu3blV5kAAAAPPI5YFAEODg4aOnSohgwZIjs7OzVp0kTnzp3ToUOHsu0ela5FixY6d+6cpkyZohdffFFbtmzR5s2b5eLiUgDVZ69q1apasWKFGjRooMuXL2vw4ME5OkLz1ltvqVu3bmrQoIGaNGmilStX6tChQ6pcuXIBVA0AAPDg4YhFETFq1CgNGjRIo0ePlr+/vzp27Gh2rkJ2/P39NWfOHM2ePVuBgYHavXu32ZWZrGnx4sX6999/9fDDD6tz587q37+/PD097zpdx44dNWrUKA0ZMkT169fXyZMn9eabbxZAxQAAAA8mg/HOzvVF3OXLl+Xq6qqEhIQMv8hfv35dJ06cUKVKleTg4GClClFU3e/7V0HfXT6vrS851dolWIQTXnE7Tt5GUVGY92WJ/VnK/rvznThiAQAAAMBinGOBfNO6dWv98MMPmQ4bMWKERowYUcAVAQBQuBT+o8nWrgAFiWCBfLNo0SJdu3Yt02Hu7u4FXA0AAADyE8EC+aZ8+fLWLgEAAAAFhHMsAAAAAFiMYAEAAADAYgQLAAAAABYjWAAAAACwGMECAAAAgMUIFkVcTEyMDAaDDhw4YO1S8pzRaNR//vMfubu7F9l1BAAAKCy43GwOFfQt6bmF/N1t2bJFy5YtU1RUlCpXrqwyZcrIYDBo/fr1ateunbXLAwAAeKBY/YjF7Nmz5evrKwcHBzVq1Ei7d+/OdvwZM2aoevXqcnR0lI+PjwYOHKjr168XULVIl5KSYu0SdOzYMZUtW1aNGzeWt7e3ihUjJwMAAFiLVYPFmjVrFBYWpjFjxmj//v0KDAxUSEiIzp49m+n4q1at0rBhwzRmzBgdPnxYixcv1po1azRixIgCrvz+k5aWpilTpqhKlSqyt7dXxYoVNWHCBNPw48ePq2XLlnJyclJgYKCio6NNw8aOHau6deuazW/GjBny9fU1Pe/WrZvatWunCRMmqFy5cqpevbqpm9W6deuynHd2Tp48qbZt26pUqVJydnZWrVq1tGnTJtPw7777Tg0bNpS9vb3Kli2rYcOG6ebNm6Z6+vXrp9jYWBkMBvn6+prqbd++vakNAAAABcOqP/G+//776tmzp0JDQyVJ8+bN08aNG7VkyRINGzYsw/g//fSTmjRpoldeeUWS5Ovrq06dOunnn38u0LrvR8OHD9fChQs1ffp0NW3aVGfOnNGRI0dMw0eOHKn33ntPVatW1ciRI9WpUycdPXo0V7/yR0ZGysXFRdu2bTNrv9d59+nTRykpKfr+++/l7OysP/74QyVKlJAknT59Wk8//bS6deum5cuX68iRI+rZs6ccHBw0duxYzZw5U35+flqwYIH27NkjW1tbSZKnp6eWLl2qp556ytQGAACA/Ge1YJGSkqJ9+/Zp+PDhpjYbGxsFBwdn+Yt348aN9fHHH2v37t1q2LChjh8/rk2bNqlz585ZLic5OVnJycmm55cvX867lbhPJCYmaubMmZo1a5a6du0qSfLz81PTpk0VExMjSQoPD1ebNm0kSePGjVOtWrV09OhR1ahRI8fLcXZ21qJFi2RnZydJFs87NjZWL7zwggICbp2/UrlyZdOwOXPmyMfHR7NmzZLBYFCNGjX0zz//aOjQoRo9erRcXV1VsmRJ2draytvb22y+bm5uGdoAAACQv6zWFer8+fNKTU2Vl5eXWbuXl5fi4uIyneaVV17RO++8o6ZNm6p48eLy8/NTixYtsu0KFRERIVdXV9PDx8cnT9fjfnD48GElJyerVatWWY5Tp04d099ly5aVpCy7nGUlICDAFCryYt79+/fX+PHj1aRJE40ZM0a//fabadjhw4cVFBQkg8FgamvSpImuXLmi//73v7mqGwAAAPnP6idv50ZUVJQmTpyoOXPmaP/+/Vq3bp02btyod999N8tphg8froSEBNPj1KlTBVhxwXB0dLzrOMWLFzf9nf5lPS0tTdKtI0VGo9Fs/Bs3bmSYh7Ozc67nnZ0ePXro+PHj6ty5sw4ePKgGDRroww8/vOt0AAAAuP9YLViUKVNGtra2io+PN2uPj4/PshvLqFGj1LlzZ/Xo0UMBAQFq3769Jk6cqIiIiCy/yNrb28vFxcXsUdRUrVpVjo6OioyMvKfpPTw8FBcXZxYuCuqeED4+PurVq5fWrVunQYMGaeHChZIkf39/RUdHm9W0c+dOlSxZUhUqVMhyfsWLF1dqamq+1w0AAABzVgsWdnZ2ql+/vtmX4bS0NEVGRiooKCjTaa5evSobG/OS00/QvfMX9weJg4ODhg4dqiFDhmj58uU6duyYdu3apcWLF+do+hYtWujcuXOaMmWKjh07ptmzZ2vz5s35XLU0YMAAbd26VSdOnND+/fu1Y8cO+fv7S5J69+6tU6dOqV+/fjpy5Ii++OILjRkzRmFhYRn2gdv5+voqMjJScXFx+vfff/N9HQAAAHCLVbtChYWFaeHChfroo490+PBhvfnmm0pKSjJdJapLly5mJ3e3bdtWc+fO1erVq3XixAlt27ZNo0aNUtu2bR/4KwCNGjVKgwYN0ujRo+Xv76+OHTvm+BwKf39/zZkzR7Nnz1ZgYKB2796t8PDwfK5YSk1NVZ8+feTv76+nnnpK1apV05w5cyRJ5cuX16ZNm7R7924FBgaqV69e6t69u95+++1s5zlt2jRt27ZNPj4+qlevXr6vAwAAAG4xGK38U/+sWbM0depUxcXFqW7duvrggw/UqFEjSbd+Sff19dWyZcskSTdv3tSECRO0YsUKnT59Wh4eHmrbtq0mTJggNze3HC3v8uXLcnV1VUJCQoZuUdevX9eJEydUqVIlOTg45OVqAvf9/lV/8HJrl2CR9SWnWrsEi1QcfdDaJeA+EvtOgLVLuGfsy3mLz2brYn/O/rvznax+q+K+ffuqb9++mQ6Liooye16sWDGNGTNGY8aMKYDKAAAAAORUoboqFAqX1q1bq0SJEpk+Jk6caO3yAAAAkIesfsQCRdeiRYt07dq1TIe5u7sXcDUAAADITwQL5Jvy5ctbuwQAAAAUELpCAQAAALAYRyweYMn/HLJ2CRaxL1fL2iUAAIAirMmHTaxdgkV29ttZoMvjiAUAAAAAixEsAAAAAFiMYAEAAADAYgSLIi4mJkYGg0EHDhywdin3LbYRAACA5Th5O4cK+uSdgj7Z5kHm4+OjM2fOqEyZMtYuBQ8wThAEABR2BAvck5SUG7KzK27tMrKVmpoqg8EgG5vsD8zZ2trK29u7gKoCUBDqD15u7RIssr6ktSsAgNyjK1QRkZaWpilTpqhKlSqyt7dXxYoVNWHCBNPw48ePq2XLlnJyclJgYKCio6NNw96dNlsNn3jBbH4fLlyhao2eND3vMWCkOrzeX5Nmzlelh1sqoNkzijl1Wg7la2vDpm168sVQlfJroEeCn9euvQfuWq/RaFSFgMe07utvTG0Nn3hBvvVamJ7v3L1fLpXq6er/37175vyPVL9Ve7lXeUR+DVqpd+/eunLlimn8ZcuWyc3NTV9++aVq1qwpe3t7xcbGytfXVxMnTtTrr7+ukiVLqmLFilqwYIFpuju7QkVFRclgMCgyMlINGjSQk5OTGjdurD///NNsHcaPHy9PT0+VLFlSPXr00LBhw1S3bt27rjsAAEBRRLAoIoYPH65JkyZp1KhR+uOPP7Rq1Sp5eXmZho8cOVLh4eE6cOCAqlWrpk6dOunmzZu5WsaOH3fpr2Mx2vjJQq3/aLapfczkDzSwVzft/matqlb2VZc+Q+46b4PBoKaP1tf30XskSf9eStCRo8d17Xqy/jx6XJL0Q/Qe1Q+sLSdHR0mSjY2Npr0zXPt3bNCiGRP17bffasiQIWbzvXr1qiZPnqxFixbp0KFD8vT0lCRNmzZNDRo00C+//KLevXvrzTffzBAU7jRy5EhNmzZNe/fuVbFixfT666+bhq1cuVITJkzQ5MmTtW/fPlWsWFFz587N4ZYEAAAoeugKVQQkJiZq5syZmjVrlrp27SpJ8vPzU9OmTRUTEyNJCg8PV5s2bSRJ48aNU61atXQsJlbVq1TO8XKcnRw17713TF2gYk6dliQN6NVNrYObS5JGhfdRvZbP5WjezYIe0aKPP5Mk/fjzPtWt5S8vzzL6/qc9ql6lsr6P3qPHHm1gGr9fz86mv319ymv8+PHq1auX5syZY2q/ceOG5syZo8DAQLNlPf300+rdu7ckaejQoZo+fbp27Nih6tWrZ1nfhAkT1Lz5rfUaNmyY2rRpo+vXr8vBwUEffvihunfvrtDQUEnS6NGj9c0335gdQQEAAHiQcMSiCDh8+LCSk5PVqlWrLMepU6eO6e+yZctKks6ev5ir5dSqUTXT8yoC/KuZ/vb2LJPjeT/2aAMd/uuYzl24qB+i96pZ40fULOgRfR+9Rzdu3NCuvb+qWeNHTONHfh+tp17qrsr1H1eZag3VuXNnXbhwQVevXjWNY2dnZ7au6W5vMxgM8vb21tmzZ7OtL9Nt9v/T/Pnnn2rYsKHZ+Hc+BwAAeJAQLIoAx//vKpSd4sX/FwgMBoOkW+dlSLe6GBmNRrPxb9y8kWEezk5Omc+7WNbzzk5t/2pyd3PVD9F79cOuvWoWdCtY/LBrr/Ye+F03bt5QUIO6km4dHXm+Wx8F+FfTJwumK3rzp5o9+1Z3rJSUFNM8HR0dTTVktf7pdd6txuy2GQAAAMwRLIqAqlWrytHRUZGRkfc0vYd7KcWfO28WLn49lP35B3nBYDCoSaOH9dXWb/XHX0fVuOHDCqhZTckpKVr08WeqX6eWKcz88tsfSktL0+Qxg9WofqCq+vnqn3/+yfcas1K9enXt2bPHrO3O5wAAAA8SgkUR4ODgoKFDh2rIkCFavny5jh07pl27dmnx4sU5mr5Z40d07sK/mjZniY7FxGresk/0zY4f8rnq/1920CP69IvNCqxZQyWcnWRjY6OmjRpo9fqNahr0v/Mr/Hx9dOPGTc1ZslLHT57SyrVfat68eQVSY2b69eunxYsX66OPPtLff/+t8ePH67fffsv0aAkAAMCDgGBRRIwaNUqDBg3S6NGj5e/vr44dO971HIJ0Nar66YOJb2vesk/U8IkXtOeXgxrwRrf8Lfj/PfboI0pNTTU7l6JZ0K225kH/O2ehTq0amjJmiKbNWaL6j7fX6vUbFRERUSA1ZubVV1/V8OHDFR4erocfflgnTpxQt27d5ODgYLWaAAAArMlgvLNzfRF3+fJlubq6KiEhQS4uLmbDrl+/rhMnTqhSpUoPxBfE5H8OWbsEi9iXq2XtEsw88cQT8vb21ooVKzIdfr/vX4X/hmJTrV2CRTqVcrn7SPex++3O2+zP1lNx9EFrl1CksC9bF5/N2X93vhOXmwXuwdWrVzVv3jyFhITI1tZWn3zyibZv365t27ZZuzQAAACrIFgg3zz7Wi/t/HlfpsOG9Oupof3/U8AV5R2DwaBNmzZpwoQJun79uqpXr67PP/9cwcHB1i4NAADAKggWyDdzp47T9evJmQ4r5eZawNXkLUdHR23fvt3aZQAAANw3CBbIN+XLelm7BAAAABQQggUAAMgzTT5sYu0SLHK/XYgAKEy43GwmHrALZaGAsF8BAICijGBxm+LFi0u6dcUfIK+lpKRIkmxtba1cCQAAQN6jK9RtbG1t5ebmZrqxnJOTU7Z3Uj565t+CKi1fVLRNs3YJFjFev27tEnIsLS1N586dk5OTk4oV420HAACKHr7h3MHb21uScnTX6rP/XsnvcvKV0XDZ2iVYpFhS4dp9bWxsVLFixWzDKgAAQGFVuL6ZFQCDwaCyZcvK09NTN27cyHbc8M82FExR+eRD5yXWLsEi5fp8ae0ScsXOzk42NvQ+BAAARRPBIgu2trZ37Qsfl5hSQNXkj2I6Y+0SLOLg4GDtEgAAAPD/+PkUAAAAgMUIFgAAAAAsRrAAAAAAYDGCBQAAAACLESwAAAAAWIxgAQAAAMBiBAsAAAAAFiNYAAAAALAYwQIAAACAxQgWAAAAACxGsAAAAABgMYIFAAAAAIsRLAAAAABYjGABAAAAwGIECwAAAAAWI1gAAAAAsBjBAgAAAIDFCBYAAAAALEawAAAAAGAxqweL2bNny9fXVw4ODmrUqJF2796d7fiXLl1Snz59VLZsWdnb26tatWratGlTAVULAAAAIDPFrLnwNWvWKCwsTPPmzVOjRo00Y8YMhYSE6M8//5Snp2eG8VNSUvTEE0/I09NTa9euVfny5XXy5Em5ubkVfPEAAAAATKwaLN5//3317NlToaGhkqR58+Zp48aNWrJkiYYNG5Zh/CVLlujixYv66aefVLx4cUmSr69vQZYMAAAAIBNW6wqVkpKiffv2KTg4+H/F2NgoODhY0dHRmU7z5ZdfKigoSH369JGXl5dq166tiRMnKjU1NcvlJCcn6/Lly2YPAAAAAHnLasHi/PnzSk1NlZeXl1m7l5eX4uLiMp3m+PHjWrt2rVJTU7Vp0yaNGjVK06ZN0/jx47NcTkREhFxdXU0PHx+fPF0PAAAAAPfBydu5kZaWJk9PTy1YsED169dXx44dNXLkSM2bNy/LaYYPH66EhATT49SpUwVYMQAAAPBgsNo5FmXKlJGtra3i4+PN2uPj4+Xt7Z3pNGXLllXx4sVla2travP391dcXJxSUlJkZ2eXYRp7e3vZ29vnbfEAAAAAzFjtiIWdnZ3q16+vyMhIU1taWpoiIyMVFBSU6TRNmjTR0aNHlZaWZmr766+/VLZs2UxDBQAAAICCYdWuUGFhYVq4cKE++ugjHT58WG+++aaSkpJMV4nq0qWLhg8fbhr/zTff1MWLF/XWW2/pr7/+0saNGzVx4kT16dPHWqsAAAAAQFa+3GzHjh117tw5jR49WnFxcapbt662bNliOqE7NjZWNjb/yz4+Pj7aunWrBg4cqDp16qh8+fJ66623NHToUGutAgAAAABZOVhIUt++fdW3b99Mh0VFRWVoCwoK0q5du/K5KgAAAAC5UaiuCgUAAADg/kSwAAAAAGAxggUAAAAAixEsAAAAAFiMYAEAAADAYgQLAAAAABYjWAAAAACwGMECAAAAgMUIFgAAAAAsRrAAAAAAYDGCBQAAAACLWRQsjh49qq1bt+ratWuSJKPRmCdFAQAAAChc7ilYXLhwQcHBwapWrZqefvppnTlzRpLUvXt3DRo0KE8LBAAAAHD/u6dgMXDgQBUrVkyxsbFycnIytXfs2FFbtmzJs+IAAAAAFA7F7mWib775Rlu3blWFChXM2qtWraqTJ0/mSWEAAAAACo97OmKRlJRkdqQi3cWLF2Vvb29xUQAAAAAKl3sKFo899piWL19uem4wGJSWlqYpU6aoZcuWeVYcAAAAgMLhnrpCTZkyRa1atdLevXuVkpKiIUOG6NChQ7p48aJ27tyZ1zUCAAAAuM/d0xGL2rVr66+//lLTpk313HPPKSkpSc8//7x++eUX+fn55XWNAAAAAO5z93TEIjY2Vj4+Pho5cmSmwypWrGhxYQAAAAAKj3s6YlGpUiWdO3cuQ/uFCxdUqVIli4sCAAAAULjcU7AwGo0yGAwZ2q9cuSIHBweLiwIAAABQuOSqK1RYWJikW1eBGjVqlNklZ1NTU/Xzzz+rbt26eVogAAAAgPtfroLFL7/8IunWEYuDBw/Kzs7ONMzOzk6BgYEKDw/P2woBAAAA3PdyFSx27NghSQoNDdXMmTPl4uKSL0UBAAAAKFzu6apQS5cuzes6AAAAABRi9xQsJGnv3r369NNPFRsbq5SUFLNh69ats7gwAAAAAIXHPV0VavXq1WrcuLEOHz6s9evX68aNGzp06JC+/fZbubq65nWNAAAAAO5z9xQsJk6cqOnTp+urr76SnZ2dZs6cqSNHjuill17i5ngAAADAA+iegsWxY8fUpk0bSbeuBpWUlCSDwaCBAwdqwYIFeVogAAAAgPvfPQWLUqVKKTExUZJUvnx5/f7775KkS5cu6erVq3lXHQAAAIBC4Z5O3m7WrJm2bdumgIAAdejQQW+99Za+/fZbbdu2TY8//nhe1wgAAADgPndPwWLWrFm6fv26JGnkyJEqXry4fvrpJ73wwgvcIA8AAAB4AN1TVyh3d3eVK1fu1gxsbDRs2DB9+umnKleunOrVq5enBQIAAAC4/+UqWCQnJ2v48OFq0KCBGjdurA0bNki6dcM8Pz8/zZw5UwMHDsyPOgEAAADcx3LVFWr06NGaP3++goOD9dNPP6lDhw4KDQ3Vrl27NG3aNHXo0EG2trb5VSsAAACA+1SugsVnn32m5cuX69lnn9Xvv/+uOnXq6ObNm/r1119lMBjyq0YAAAAA97lcdYX673//q/r160uSateuLXt7ew0cOJBQAQAAADzgchUsUlNTZWdnZ3perFgxlShRIs+LAgAAAFC45KorlNFoVLdu3WRvby9Jun79unr16iVnZ2ez8datW5d3FQIAAAC47+UqWHTt2tXs+WuvvZanxQAAAAAonHIVLJYuXZpfdQAAAAAoxO7pBnkAAAAAcDuCBQAAAACLESwAAAAAWIxgAQAAAMBiBAsAAAAAFiNYAAAAALAYwQIAAACAxQgWAAAAACx2XwSL2bNny9fXVw4ODmrUqJF2796do+lWr14tg8Ggdu3a5W+BAAAAALJl9WCxZs0ahYWFacyYMdq/f78CAwMVEhKis2fPZjtdTEyMwsPD9dhjjxVQpQAAAACyYvVg8f7776tnz54KDQ1VzZo1NW/ePDk5OWnJkiVZTpOamqpXX31V48aNU+XKlQuwWgAAAACZsWqwSElJ0b59+xQcHGxqs7GxUXBwsKKjo7Oc7p133pGnp6e6d+9+12UkJyfr8uXLZg8AAAAAecuqweL8+fNKTU2Vl5eXWbuXl5fi4uIynebHH3/U4sWLtXDhwhwtIyIiQq6urqaHj4+PxXUDAAAAMGf1rlC5kZiYqM6dO2vhwoUqU6ZMjqYZPny4EhISTI9Tp07lc5UAAADAg6eYNRdepkwZ2draKj4+3qw9Pj5e3t7eGcY/duyYYmJi1LZtW1NbWlqaJKlYsWL6888/5efnZzaNvb297O3t86F6AAAAAOmsesTCzs5O9evXV2RkpKktLS1NkZGRCgoKyjB+jRo1dPDgQR04cMD0ePbZZ9WyZUsdOHCAbk4AAACAlVj1iIUkhYWFqWvXrmrQoIEaNmyoGTNmKCkpSaGhoZKkLl26qHz58oqIiJCDg4Nq165tNr2bm5skZWgHAAAAUHCsHiw6duyoc+fOafTo0YqLi1PdunW1ZcsW0wndsbGxsrEpVKeCAAAAAA8cqwcLSerbt6/69u2b6bCoqKhsp122bFneFwQAAAAgVzgUAAAAAMBiBAsAAAAAFiNYAAAAALAYwQIAAACAxQgWAAAAACxGsAAAAABgMYIFAAAAAIsRLAAAAABYjGABAAAAwGIECwAAAAAWI1gAAAAAsBjBAgAAAIDFCBYAAAAALEawAAAAAGAxggUAAAAAixEsAAAAAFiMYAEAAADAYgQLAAAAABYjWAAAAACwGMECAAAAgMUIFgAAAAAsRrAAAAAAYDGCBQAAAACLESwAAAAAWIxgAQAAAMBiBAsAAAAAFiNYAAAAALAYwQIAAACAxQgWAAAAACxGsAAAAABgMYIFAAAAAIsRLAAAAABYjGABAAAAwGIECwAAAAAWI1gAAAAAsBjBAgAAAIDFCBYAAAAALEawAAAAAGAxggUAAAAAixEsAAAAAFiMYAEAAADAYgQLAAAAABYjWAAAAACwGMECAAAAgMUIFgAAAAAsRrAAAAAAYDGCBQAAAACLESwAAAAAWIxgAQAAAMBi90WwmD17tnx9feXg4KBGjRpp9+7dWY67cOFCPfbYYypVqpRKlSql4ODgbMcHAAAAkP+sHizWrFmjsLAwjRkzRvv371dgYKBCQkJ09uzZTMePiopSp06dtGPHDkVHR8vHx0dPPvmkTp8+XcCVAwAAAEhn9WDx/vvvq2fPngoNDVXNmjU1b948OTk5acmSJZmOv3LlSvXu3Vt169ZVjRo1tGjRIqWlpSkyMrKAKwcAAACQzqrBIiUlRfv27VNwcLCpzcbGRsHBwYqOjs7RPK5evaobN27I3d09v8oEAAAAcBfFrLnw8+fPKzU1VV5eXmbtXl5eOnLkSI7mMXToUJUrV84snNwuOTlZycnJpueXL1++94IBAAAAZMrqXaEsMWnSJK1evVrr16+Xg4NDpuNERETI1dXV9PDx8SngKgEAAICiz6rBokyZMrK1tVV8fLxZe3x8vLy9vbOd9r333tOkSZP0zTffqE6dOlmON3z4cCUkJJgep06dypPaAQAAAPyPVYOFnZ2d6tevb3bidfqJ2EFBQVlON2XKFL377rvasmWLGjRokO0y7O3t5eLiYvYAAAAAkLeseo6FJIWFhal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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "=== Carmignac Patrimoine | method=kmeans ===\n", + "Clients after filtering: 3058\n", + "Chosen K: 4\n", + " cluster n_clients\n", + "0 0 2601\n", + "1 1 172\n", + "2 2 200\n", + "3 3 85\n", + "\n", + "Churn profile:\n", + " churn_hard churn_soft churn_warning\n", + "cluster \n", + "0 0.688 0.765 0.129\n", + "1 0.907 0.953 0.750\n", + "2 0.745 0.870 0.700\n", + "3 0.847 0.918 0.765\n" + ] + } + ], + "source": [ + "# KMeans — test on one family\n", + "\n", + "test_family = top_15_families[0]\n", + "result_test_kmeans = run_family_clustering(\n", + " df_base=df_family_client_base,\n", + " family_name=test_family,\n", + " features=family_cluster_features,\n", + " method=\"kmeans\",\n", + " k_min=4,\n", + " k_max=10,\n", + " min_clients=40,\n", + " min_cluster_size=10,\n", + " min_cluster_share=0.02,\n", + " random_state=RANDOM_STATE,\n", + " make_plots=True\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "e339c5fb", + "metadata": { + "id": "e339c5fb", + "outputId": "d9d744b3-99f5-4f5d-e24b-0969f9f6861f" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Patrimoine\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Sécurité\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Investissement\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Credit \n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Portfolio Sécurité\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Portfolio Flexible Bond\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Portfolio Credit\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Emergents\n", + "==========================================================================================\n", + "[SKIP] Carmignac Emergents (kmeans): no valid K with cluster size constraints.\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Court Terme\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Portfolio Long-Short European Equities\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Portfolio Grande Europe\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Portfolio Emergents\n", + "==========================================================================================\n", + "[SKIP] Carmignac Portfolio Emergents (kmeans): no valid K with cluster size constraints.\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Portfolio Global Bond\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Portfolio Patrimoine\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running KMeans clustering for family: Carmignac Portfolio Emerging Patrimoine\n", + "==========================================================================================\n" + ] + }, + { + "data": { + "text/html": [ + "
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methodfund_familyn_clientsbest_ksilhouettedavies_bouldinmin_cluster_size
0kmeansCarmignac Patrimoine305840.8829160.44355185
1kmeansCarmignac Investissement212640.8722480.45095974
2kmeansCarmignac Portfolio Grande Europe134440.8656870.46426239
3kmeansCarmignac Portfolio Emerging Patrimoine109950.7765360.69065426
4kmeansCarmignac Portfolio Long-Short European Equities58640.7170910.63582628
5kmeansCarmignac Court Terme50740.7142380.69059617
6kmeansCarmignac Sécurité157340.6973580.77629886
7kmeansCarmignac Portfolio Flexible Bond105340.6754070.80157840
8kmeansCarmignac Credit <NUM>37040.5333130.99651225
9kmeansCarmignac Portfolio Global Bond166440.5328770.68060470
10kmeansCarmignac Portfolio Sécurité112540.4514120.93567846
11kmeansCarmignac Portfolio Credit98440.3664761.02423648
12kmeansCarmignac Portfolio Patrimoine110750.2970691.06764329
\n", + "
" + ], + "text/plain": [ + " method fund_family n_clients \\\n", + "0 kmeans Carmignac Patrimoine 3058 \n", + "1 kmeans Carmignac Investissement 2126 \n", + "2 kmeans Carmignac Portfolio Grande Europe 1344 \n", + "3 kmeans Carmignac Portfolio Emerging Patrimoine 1099 \n", + "4 kmeans Carmignac Portfolio Long-Short European Equities 586 \n", + "5 kmeans Carmignac Court Terme 507 \n", + "6 kmeans Carmignac Sécurité 1573 \n", + "7 kmeans Carmignac Portfolio Flexible Bond 1053 \n", + "8 kmeans Carmignac Credit 370 \n", + "9 kmeans Carmignac Portfolio Global Bond 1664 \n", + "10 kmeans Carmignac Portfolio Sécurité 1125 \n", + "11 kmeans Carmignac Portfolio Credit 984 \n", + "12 kmeans Carmignac Portfolio Patrimoine 1107 \n", + "\n", + " best_k silhouette davies_bouldin min_cluster_size \n", + "0 4 0.882916 0.443551 85 \n", + "1 4 0.872248 0.450959 74 \n", + "2 4 0.865687 0.464262 39 \n", + "3 5 0.776536 0.690654 26 \n", + "4 4 0.717091 0.635826 28 \n", + "5 4 0.714238 0.690596 17 \n", + "6 4 0.697358 0.776298 86 \n", + "7 4 0.675407 0.801578 40 \n", + "8 4 0.533313 0.996512 25 \n", + "9 4 0.532877 0.680604 70 \n", + "10 4 0.451412 0.935678 46 \n", + "11 4 0.366476 1.024236 48 \n", + "12 5 0.297069 1.067643 29 " + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# KMeans — run clustering on the top 15 fund families\n", + "\n", + "family_results_kmeans = {}\n", + "family_summary_rows_kmeans = []\n", + "\n", + "for fam in top_15_families:\n", + " print(\"\\n\" + \"=\" * 90)\n", + " print(f\"Running KMeans clustering for family: {fam}\")\n", + " print(\"=\" * 90)\n", + "\n", + " res = run_family_clustering(\n", + " df_base=df_family_client_base,\n", + " family_name=fam,\n", + " features=family_cluster_features,\n", + " method=\"kmeans\",\n", + " k_min=4,\n", + " k_max=10,\n", + " min_clients=40,\n", + " min_cluster_size=10,\n", + " min_cluster_share=0.02,\n", + " random_state=RANDOM_STATE,\n", + " make_plots=False\n", + " )\n", + "\n", + " if res is not None:\n", + " family_results_kmeans[fam] = res\n", + " best_row = res[\"metrics_df\"].loc[res[\"metrics_df\"][\"k\"] == res[\"best_k\"]].iloc[0]\n", + "\n", + " family_summary_rows_kmeans.append({\n", + " \"method\": \"kmeans\",\n", + " \"fund_family\": fam,\n", + " \"n_clients\": res[\"n_clients\"],\n", + " \"best_k\": res[\"best_k\"],\n", + " \"silhouette\": best_row[\"silhouette\"],\n", + " \"davies_bouldin\": best_row[\"davies_bouldin\"],\n", + " \"min_cluster_size\": int(best_row[\"min_cluster_size\"]),\n", + " })\n", + "\n", + "family_summary_kmeans = pd.DataFrame(family_summary_rows_kmeans).sort_values(\n", + " [\"silhouette\", \"n_clients\"],\n", + " ascending=[False, False]\n", + ").reset_index(drop=True)\n", + "\n", + "family_summary_kmeans\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "f5c7e517", + "metadata": { + "id": "f5c7e517", + "outputId": "6a8d8ae1-31e3-434d-884e-5862376e3525" + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "=== Carmignac Patrimoine | method=kmeans ===\n", + "Clients after filtering: 3058\n", + "Chosen K: 4\n", + " cluster n_clients\n", + "0 0 2601\n", + "1 1 172\n", + "2 2 200\n", + "3 3 85\n", + "\n", + "Churn profile:\n", + " churn_hard churn_soft churn_warning\n", + "cluster \n", + "0 0.688 0.765 0.129\n", + "1 0.907 0.953 0.750\n", + "2 0.745 0.870 0.700\n", + "3 0.847 0.918 0.765\n" + ] + } + ], + "source": [ + "# KMeans — visual and business review for one selected family\n", + "\n", + "selected_family = top_15_families[0]\n", + "if selected_family in family_results_kmeans:\n", + " _ = run_family_clustering(\n", + " df_base=df_family_client_base,\n", + " family_name=selected_family,\n", + " features=family_cluster_features,\n", + " method=\"kmeans\",\n", + " k_min=4,\n", + " k_max=10,\n", + " min_clients=40,\n", + " min_cluster_size=10,\n", + " min_cluster_share=0.02,\n", + " random_state=RANDOM_STATE,\n", + " make_plots=True\n", + " )\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "4ba643a5", + "metadata": { + "id": "4ba643a5", + "outputId": "5a75c58f-9364-4568-e27c-14e894704bea" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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methodfund_familyn_clientsbest_ksilhouettedavies_bouldinmin_cluster_size
0kmeansCarmignac Patrimoine305840.8829160.44355185
1kmeansCarmignac Investissement212640.8722480.45095974
2kmeansCarmignac Portfolio Grande Europe134440.8656870.46426239
3kmeansCarmignac Portfolio Emerging Patrimoine109950.7765360.69065426
4kmeansCarmignac Portfolio Long-Short European Equities58640.7170910.63582628
5kmeansCarmignac Court Terme50740.7142380.69059617
6kmeansCarmignac Sécurité157340.6973580.77629886
7kmeansCarmignac Portfolio Flexible Bond105340.6754070.80157840
8kmeansCarmignac Credit <NUM>37040.5333130.99651225
9kmeansCarmignac Portfolio Global Bond166440.5328770.68060470
10kmeansCarmignac Portfolio Sécurité112540.4514120.93567846
11kmeansCarmignac Portfolio Credit98440.3664761.02423648
12kmeansCarmignac Portfolio Patrimoine110750.2970691.06764329
\n", + "
" + ], + "text/plain": [ + " method fund_family n_clients \\\n", + "0 kmeans Carmignac Patrimoine 3058 \n", + "1 kmeans Carmignac Investissement 2126 \n", + "2 kmeans Carmignac Portfolio Grande Europe 1344 \n", + "3 kmeans Carmignac Portfolio Emerging Patrimoine 1099 \n", + "4 kmeans Carmignac Portfolio Long-Short European Equities 586 \n", + "5 kmeans Carmignac Court Terme 507 \n", + "6 kmeans Carmignac Sécurité 1573 \n", + "7 kmeans Carmignac Portfolio Flexible Bond 1053 \n", + "8 kmeans Carmignac Credit 370 \n", + "9 kmeans Carmignac Portfolio Global Bond 1664 \n", + "10 kmeans Carmignac Portfolio Sécurité 1125 \n", + "11 kmeans Carmignac Portfolio Credit 984 \n", + "12 kmeans Carmignac Portfolio Patrimoine 1107 \n", + "\n", + " best_k silhouette davies_bouldin min_cluster_size \n", + "0 4 0.882916 0.443551 85 \n", + "1 4 0.872248 0.450959 74 \n", + "2 4 0.865687 0.464262 39 \n", + "3 5 0.776536 0.690654 26 \n", + "4 4 0.717091 0.635826 28 \n", + "5 4 0.714238 0.690596 17 \n", + "6 4 0.697358 0.776298 86 \n", + "7 4 0.675407 0.801578 40 \n", + "8 4 0.533313 0.996512 25 \n", + "9 4 0.532877 0.680604 70 \n", + "10 4 0.451412 0.935678 46 \n", + "11 4 0.366476 1.024236 48 \n", + "12 5 0.297069 1.067643 29 " + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# KMeans — summary table of clustering results across families\n", + "family_summary_kmeans\n" + ] + }, + { + "cell_type": "markdown", + "id": "8ecdec77", + "metadata": {}, + "source": [ + "---\n", + "## Gaussian Mixture Model (GMM)\n", + "\n", + "This section repeats the same family-level clustering analysis using a Gaussian Mixture Model.\n", + "Compared with KMeans, GMM allows more flexible cluster shapes and soft probabilistic boundaries.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "f43dec41", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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", 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "=== Carmignac Patrimoine | method=gmm ===\n", + "Clients after filtering: 3058\n", + "Chosen K: 4\n", + " cluster n_clients\n", + "0 0 359\n", + "1 1 147\n", + "2 2 411\n", + "3 3 2141\n", + "\n", + "Churn profile:\n", + " churn_hard churn_soft churn_warning\n", + "cluster \n", + "0 0.437 0.602 0.677\n", + "1 0.905 0.952 0.762\n", + "2 0.822 0.905 0.715\n", + "3 0.719 0.784 0.010\n" + ] + } + ], + "source": [ + "# GMM — test on one family\n", + "\n", + "test_family = top_15_families[0]\n", + "result_test_gmm = run_family_clustering(\n", + " df_base=df_family_client_base,\n", + " family_name=test_family,\n", + " features=family_cluster_features,\n", + " method=\"gmm\",\n", + " k_min=4,\n", + " k_max=10,\n", + " min_clients=40,\n", + " min_cluster_size=10,\n", + " min_cluster_share=0.02,\n", + " random_state=RANDOM_STATE,\n", + " make_plots=True\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "46e92f1b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Patrimoine\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Sécurité\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Investissement\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Credit \n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Portfolio Sécurité\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Portfolio Flexible Bond\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Portfolio Credit\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Emergents\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Court Terme\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Portfolio Long-Short European Equities\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Portfolio Grande Europe\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Portfolio Emergents\n", + "==========================================================================================\n", + "[SKIP] Carmignac Portfolio Emergents (gmm): no valid K with cluster size constraints.\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Portfolio Global Bond\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Portfolio Patrimoine\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running GMM clustering for family: Carmignac Portfolio Emerging Patrimoine\n", + "==========================================================================================\n" + ] + }, + { + "data": { + "text/html": [ + "
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methodfund_familyn_clientsbest_ksilhouettedavies_bouldinmin_cluster_size
0gmmCarmignac Emergents172460.6642240.88205636
1gmmCarmignac Patrimoine305840.6200020.902274147
2gmmCarmignac Portfolio Emerging Patrimoine109940.5933351.21795657
3gmmCarmignac Court Terme507100.5908291.02211011
4gmmCarmignac Investissement212660.5732333.46682551
5gmmCarmignac Sécurité157340.5322081.317413153
6gmmCarmignac Portfolio Grande Europe134440.5261760.96601566
7gmmCarmignac Portfolio Flexible Bond105340.5208311.23071193
8gmmCarmignac Portfolio Long-Short European Equities58640.5030591.25025538
9gmmCarmignac Credit <NUM>37050.4256851.12885420
10gmmCarmignac Portfolio Global Bond166440.2582801.620530217
11gmmCarmignac Portfolio Sécurité112570.2569451.61021952
12gmmCarmignac Portfolio Credit98440.2497371.929919118
13gmmCarmignac Portfolio Patrimoine110740.2303322.65980190
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" + ], + "text/plain": [ + " method fund_family n_clients \\\n", + "0 gmm Carmignac Emergents 1724 \n", + "1 gmm Carmignac Patrimoine 3058 \n", + "2 gmm Carmignac Portfolio Emerging Patrimoine 1099 \n", + "3 gmm Carmignac Court Terme 507 \n", + "4 gmm Carmignac Investissement 2126 \n", + "5 gmm Carmignac Sécurité 1573 \n", + "6 gmm Carmignac Portfolio Grande Europe 1344 \n", + "7 gmm Carmignac Portfolio Flexible Bond 1053 \n", + "8 gmm Carmignac Portfolio Long-Short European Equities 586 \n", + "9 gmm Carmignac Credit 370 \n", + "10 gmm Carmignac Portfolio Global Bond 1664 \n", + "11 gmm Carmignac Portfolio Sécurité 1125 \n", + "12 gmm Carmignac Portfolio Credit 984 \n", + "13 gmm Carmignac Portfolio Patrimoine 1107 \n", + "\n", + " best_k silhouette davies_bouldin min_cluster_size \n", + "0 6 0.664224 0.882056 36 \n", + "1 4 0.620002 0.902274 147 \n", + "2 4 0.593335 1.217956 57 \n", + "3 10 0.590829 1.022110 11 \n", + "4 6 0.573233 3.466825 51 \n", + "5 4 0.532208 1.317413 153 \n", + "6 4 0.526176 0.966015 66 \n", + "7 4 0.520831 1.230711 93 \n", + "8 4 0.503059 1.250255 38 \n", + "9 5 0.425685 1.128854 20 \n", + "10 4 0.258280 1.620530 217 \n", + "11 7 0.256945 1.610219 52 \n", + "12 4 0.249737 1.929919 118 \n", + "13 4 0.230332 2.659801 90 " + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# GMM — run clustering on the top 15 fund families\n", + "\n", + "family_results_gmm = {}\n", + "family_summary_rows_gmm = []\n", + "\n", + "for fam in top_15_families:\n", + " print(\"\\n\" + \"=\" * 90)\n", + " print(f\"Running GMM clustering for family: {fam}\")\n", + " print(\"=\" * 90)\n", + "\n", + " res = run_family_clustering(\n", + " df_base=df_family_client_base,\n", + " family_name=fam,\n", + " features=family_cluster_features,\n", + " method=\"gmm\",\n", + " k_min=4,\n", + " k_max=10,\n", + " min_clients=40,\n", + " min_cluster_size=10,\n", + " min_cluster_share=0.02,\n", + " random_state=RANDOM_STATE,\n", + " make_plots=False\n", + " )\n", + "\n", + " if res is not None:\n", + " family_results_gmm[fam] = res\n", + " best_row = res[\"metrics_df\"].loc[res[\"metrics_df\"][\"k\"] == res[\"best_k\"]].iloc[0]\n", + "\n", + " family_summary_rows_gmm.append({\n", + " \"method\": \"gmm\",\n", + " \"fund_family\": fam,\n", + " \"n_clients\": res[\"n_clients\"],\n", + " \"best_k\": res[\"best_k\"],\n", + " \"silhouette\": best_row[\"silhouette\"],\n", + " \"davies_bouldin\": best_row[\"davies_bouldin\"],\n", + " \"min_cluster_size\": int(best_row[\"min_cluster_size\"]),\n", + " })\n", + "\n", + "family_summary_gmm = pd.DataFrame(family_summary_rows_gmm).sort_values(\n", + " [\"silhouette\", \"n_clients\"],\n", + " ascending=[False, False]\n", + ").reset_index(drop=True)\n", + "\n", + "family_summary_gmm\n" + ] + }, + { + "cell_type": "markdown", + "id": "a8829205", + "metadata": {}, + "source": [ + "---\n", + "## Agglomerative Clustering (Ward linkage)\n", + "\n", + "This section applies hierarchical agglomerative clustering with Ward linkage.\n", + "Ward linkage is a natural benchmark because it also minimizes within-cluster variance, but without relying on centroid updates like KMeans.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "7daa23a2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[SKIP] Carmignac Patrimoine (agglo): no valid K with cluster size constraints.\n" + ] + } + ], + "source": [ + "# Agglomerative (Ward) — test on one family\n", + "\n", + "test_family = top_15_families[0]\n", + "result_test_agglo = run_family_clustering(\n", + " df_base=df_family_client_base,\n", + " family_name=test_family,\n", + " features=family_cluster_features,\n", + " method=\"agglo\",\n", + " k_min=4,\n", + " k_max=10,\n", + " min_clients=40,\n", + " min_cluster_size=10,\n", + " min_cluster_share=0.02,\n", + " random_state=RANDOM_STATE,\n", + " make_plots=True\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "0238d752", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Patrimoine\n", + "==========================================================================================\n", + "[SKIP] Carmignac Patrimoine (agglo): no valid K with cluster size constraints.\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Sécurité\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Investissement\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Credit \n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Portfolio Sécurité\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Portfolio Flexible Bond\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Portfolio Credit\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Emergents\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Court Terme\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Portfolio Long-Short European Equities\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Portfolio Grande Europe\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Portfolio Emergents\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Portfolio Global Bond\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Portfolio Patrimoine\n", + "==========================================================================================\n", + "[SKIP] Carmignac Portfolio Patrimoine (agglo): no valid K with cluster size constraints.\n", + "\n", + "==========================================================================================\n", + "Running Agglomerative (Ward) clustering for family: Carmignac Portfolio Emerging Patrimoine\n", + "==========================================================================================\n" + ] + }, + { + "data": { + "text/html": [ + "
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methodfund_familyn_clientsbest_ksilhouettedavies_bouldinmin_cluster_size
0aggloCarmignac Portfolio Grande Europe134440.8704640.45943536
1aggloCarmignac Emergents172440.8572400.50005471
2aggloCarmignac Investissement212640.8487040.46401464
3aggloCarmignac Sécurité157340.7290100.68388772
4aggloCarmignac Portfolio Long-Short European Equities58640.7275170.65339223
5aggloCarmignac Portfolio Emerging Patrimoine109940.7125370.73569230
6aggloCarmignac Portfolio Emergents53040.7022770.84086627
7aggloCarmignac Court Terme50740.6990750.64079113
8aggloCarmignac Portfolio Flexible Bond105350.6560560.96621553
9aggloCarmignac Portfolio Global Bond166440.5410810.57611437
10aggloCarmignac Credit <NUM>37070.4814840.80488613
11aggloCarmignac Portfolio Sécurité112540.4575630.91772546
12aggloCarmignac Portfolio Credit98440.3556410.92756863
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" + ], + "text/plain": [ + " method fund_family n_clients \\\n", + "0 agglo Carmignac Portfolio Grande Europe 1344 \n", + "1 agglo Carmignac Emergents 1724 \n", + "2 agglo Carmignac Investissement 2126 \n", + "3 agglo Carmignac Sécurité 1573 \n", + "4 agglo Carmignac Portfolio Long-Short European Equities 586 \n", + "5 agglo Carmignac Portfolio Emerging Patrimoine 1099 \n", + "6 agglo Carmignac Portfolio Emergents 530 \n", + "7 agglo Carmignac Court Terme 507 \n", + "8 agglo Carmignac Portfolio Flexible Bond 1053 \n", + "9 agglo Carmignac Portfolio Global Bond 1664 \n", + "10 agglo Carmignac Credit 370 \n", + "11 agglo Carmignac Portfolio Sécurité 1125 \n", + "12 agglo Carmignac Portfolio Credit 984 \n", + "\n", + " best_k silhouette davies_bouldin min_cluster_size \n", + "0 4 0.870464 0.459435 36 \n", + "1 4 0.857240 0.500054 71 \n", + "2 4 0.848704 0.464014 64 \n", + "3 4 0.729010 0.683887 72 \n", + "4 4 0.727517 0.653392 23 \n", + "5 4 0.712537 0.735692 30 \n", + "6 4 0.702277 0.840866 27 \n", + "7 4 0.699075 0.640791 13 \n", + "8 5 0.656056 0.966215 53 \n", + "9 4 0.541081 0.576114 37 \n", + "10 7 0.481484 0.804886 13 \n", + "11 4 0.457563 0.917725 46 \n", + "12 4 0.355641 0.927568 63 " + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Agglomerative (Ward) — run clustering on the top 15 fund families\n", + "\n", + "family_results_agglo = {}\n", + "family_summary_rows_agglo = []\n", + "\n", + "for fam in top_15_families:\n", + " print(\"\\n\" + \"=\" * 90)\n", + " print(f\"Running Agglomerative (Ward) clustering for family: {fam}\")\n", + " print(\"=\" * 90)\n", + "\n", + " res = run_family_clustering(\n", + " df_base=df_family_client_base,\n", + " family_name=fam,\n", + " features=family_cluster_features,\n", + " method=\"agglo\",\n", + " k_min=4,\n", + " k_max=10,\n", + " min_clients=40,\n", + " min_cluster_size=10,\n", + " min_cluster_share=0.02,\n", + " random_state=RANDOM_STATE,\n", + " make_plots=False\n", + " )\n", + "\n", + " if res is not None:\n", + " family_results_agglo[fam] = res\n", + " best_row = res[\"metrics_df\"].loc[res[\"metrics_df\"][\"k\"] == res[\"best_k\"]].iloc[0]\n", + "\n", + " family_summary_rows_agglo.append({\n", + " \"method\": \"agglo\",\n", + " \"fund_family\": fam,\n", + " \"n_clients\": res[\"n_clients\"],\n", + " \"best_k\": res[\"best_k\"],\n", + " \"silhouette\": best_row[\"silhouette\"],\n", + " \"davies_bouldin\": best_row[\"davies_bouldin\"],\n", + " \"min_cluster_size\": int(best_row[\"min_cluster_size\"]),\n", + " })\n", + "\n", + "family_summary_agglo = pd.DataFrame(family_summary_rows_agglo).sort_values(\n", + " [\"silhouette\", \"n_clients\"],\n", + " ascending=[False, False]\n", + ").reset_index(drop=True)\n", + "\n", + "family_summary_agglo\n" + ] + }, + { + "cell_type": "markdown", + "id": "2495316e", + "metadata": {}, + "source": [ + "---\n", + "## Comparison of the three clustering methods\n", + "\n", + "The tables below compare KMeans, Gaussian Mixture, and Agglomerative (Ward) clustering:\n", + "- on one selected family,\n", + "- and across the top 15 families.\n", + "\n", + "This comparison helps assess whether the segmentation is method-specific or robust across algorithms.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "a79dd797", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[SKIP] Carmignac Patrimoine (agglo): no valid K with cluster size constraints.\n" + ] + }, + { + "data": { + "text/html": [ + "
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methodfamilyn_clientsbest_ksilhouettedavies_bouldinmin_cluster_sizestatus
0kmeansCarmignac Patrimoine3058.04.00.8829160.44355185.0ok
1gmmCarmignac Patrimoine3058.04.00.6200020.902274147.0ok
2aggloCarmignac PatrimoineNaNNaNNaNNaNNaNskip
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" + ], + "text/plain": [ + " method family n_clients best_k silhouette \\\n", + "0 kmeans Carmignac Patrimoine 3058.0 4.0 0.882916 \n", + "1 gmm Carmignac Patrimoine 3058.0 4.0 0.620002 \n", + "2 agglo Carmignac Patrimoine NaN NaN NaN \n", + "\n", + " davies_bouldin min_cluster_size status \n", + "0 0.443551 85.0 ok \n", + "1 0.902274 147.0 ok \n", + "2 NaN NaN skip " + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Compare the three methods on one selected family\n", + "\n", + "comparison_one_family = compare_methods_for_family(\n", + " df_base=df_family_client_base,\n", + " family_name=top_15_families[0],\n", + " features=family_cluster_features,\n", + " methods=(\"kmeans\", \"gmm\", \"agglo\"),\n", + " k_min=4,\n", + " k_max=10,\n", + " min_clients=40,\n", + " min_cluster_size=10,\n", + " min_cluster_share=0.02,\n", + " random_state=RANDOM_STATE\n", + ")\n", + "\n", + "comparison_one_family.sort_values([\"silhouette\", \"davies_bouldin\"], ascending=[False, True])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "7a49e624", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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methodfund_familyn_clientsbest_ksilhouettedavies_bouldinmin_cluster_size
0kmeansCarmignac Court Terme50740.7142380.69059617
1aggloCarmignac Court Terme50740.6990750.64079113
2gmmCarmignac Court Terme507100.5908291.02211011
3kmeansCarmignac Credit <NUM>37040.5333130.99651225
4aggloCarmignac Credit <NUM>37070.4814840.80488613
5gmmCarmignac Credit <NUM>37050.4256851.12885420
6aggloCarmignac Emergents172440.8572400.50005471
7gmmCarmignac Emergents172460.6642240.88205636
8kmeansCarmignac Investissement212640.8722480.45095974
9aggloCarmignac Investissement212640.8487040.46401464
10gmmCarmignac Investissement212660.5732333.46682551
11kmeansCarmignac Patrimoine305840.8829160.44355185
12gmmCarmignac Patrimoine305840.6200020.902274147
13kmeansCarmignac Portfolio Credit98440.3664761.02423648
14aggloCarmignac Portfolio Credit98440.3556410.92756863
15gmmCarmignac Portfolio Credit98440.2497371.929919118
16aggloCarmignac Portfolio Emergents53040.7022770.84086627
17kmeansCarmignac Portfolio Emerging Patrimoine109950.7765360.69065426
18aggloCarmignac Portfolio Emerging Patrimoine109940.7125370.73569230
19gmmCarmignac Portfolio Emerging Patrimoine109940.5933351.21795657
20kmeansCarmignac Portfolio Flexible Bond105340.6754070.80157840
21aggloCarmignac Portfolio Flexible Bond105350.6560560.96621553
22gmmCarmignac Portfolio Flexible Bond105340.5208311.23071193
23aggloCarmignac Portfolio Global Bond166440.5410810.57611437
24kmeansCarmignac Portfolio Global Bond166440.5328770.68060470
25gmmCarmignac Portfolio Global Bond166440.2582801.620530217
26aggloCarmignac Portfolio Grande Europe134440.8704640.45943536
27kmeansCarmignac Portfolio Grande Europe134440.8656870.46426239
28gmmCarmignac Portfolio Grande Europe134440.5261760.96601566
29aggloCarmignac Portfolio Long-Short European Equities58640.7275170.65339223
30kmeansCarmignac Portfolio Long-Short European Equities58640.7170910.63582628
31gmmCarmignac Portfolio Long-Short European Equities58640.5030591.25025538
32kmeansCarmignac Portfolio Patrimoine110750.2970691.06764329
33gmmCarmignac Portfolio Patrimoine110740.2303322.65980190
34aggloCarmignac Portfolio Sécurité112540.4575630.91772546
35kmeansCarmignac Portfolio Sécurité112540.4514120.93567846
36gmmCarmignac Portfolio Sécurité112570.2569451.61021952
37aggloCarmignac Sécurité157340.7290100.68388772
38kmeansCarmignac Sécurité157340.6973580.77629886
39gmmCarmignac Sécurité157340.5322081.317413153
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" + ], + "text/plain": [ + " method fund_family n_clients \\\n", + "0 kmeans Carmignac Court Terme 507 \n", + "1 agglo Carmignac Court Terme 507 \n", + "2 gmm Carmignac Court Terme 507 \n", + "3 kmeans Carmignac Credit 370 \n", + "4 agglo Carmignac Credit 370 \n", + "5 gmm Carmignac Credit 370 \n", + "6 agglo Carmignac Emergents 1724 \n", + "7 gmm Carmignac Emergents 1724 \n", + "8 kmeans Carmignac Investissement 2126 \n", + "9 agglo Carmignac Investissement 2126 \n", + "10 gmm Carmignac Investissement 2126 \n", + "11 kmeans Carmignac Patrimoine 3058 \n", + "12 gmm Carmignac Patrimoine 3058 \n", + "13 kmeans Carmignac Portfolio Credit 984 \n", + "14 agglo Carmignac Portfolio Credit 984 \n", + "15 gmm Carmignac Portfolio Credit 984 \n", + "16 agglo Carmignac Portfolio Emergents 530 \n", + "17 kmeans Carmignac Portfolio Emerging Patrimoine 1099 \n", + "18 agglo Carmignac Portfolio Emerging Patrimoine 1099 \n", + "19 gmm Carmignac Portfolio Emerging Patrimoine 1099 \n", + "20 kmeans Carmignac Portfolio Flexible Bond 1053 \n", + "21 agglo Carmignac Portfolio Flexible Bond 1053 \n", + "22 gmm Carmignac Portfolio Flexible Bond 1053 \n", + "23 agglo Carmignac Portfolio Global Bond 1664 \n", + "24 kmeans Carmignac Portfolio Global Bond 1664 \n", + "25 gmm Carmignac Portfolio Global Bond 1664 \n", + "26 agglo Carmignac Portfolio Grande Europe 1344 \n", + "27 kmeans Carmignac Portfolio Grande Europe 1344 \n", + "28 gmm Carmignac Portfolio Grande Europe 1344 \n", + "29 agglo Carmignac Portfolio Long-Short European Equities 586 \n", + "30 kmeans Carmignac Portfolio Long-Short European Equities 586 \n", + "31 gmm Carmignac Portfolio Long-Short European Equities 586 \n", + "32 kmeans Carmignac Portfolio Patrimoine 1107 \n", + "33 gmm Carmignac Portfolio Patrimoine 1107 \n", + "34 agglo Carmignac Portfolio Sécurité 1125 \n", + "35 kmeans Carmignac Portfolio Sécurité 1125 \n", + "36 gmm Carmignac Portfolio Sécurité 1125 \n", + "37 agglo Carmignac Sécurité 1573 \n", + "38 kmeans Carmignac Sécurité 1573 \n", + "39 gmm Carmignac Sécurité 1573 \n", + "\n", + " best_k silhouette davies_bouldin min_cluster_size \n", + "0 4 0.714238 0.690596 17 \n", + "1 4 0.699075 0.640791 13 \n", + "2 10 0.590829 1.022110 11 \n", + "3 4 0.533313 0.996512 25 \n", + "4 7 0.481484 0.804886 13 \n", + "5 5 0.425685 1.128854 20 \n", + "6 4 0.857240 0.500054 71 \n", + "7 6 0.664224 0.882056 36 \n", + "8 4 0.872248 0.450959 74 \n", + "9 4 0.848704 0.464014 64 \n", + "10 6 0.573233 3.466825 51 \n", + "11 4 0.882916 0.443551 85 \n", + "12 4 0.620002 0.902274 147 \n", + "13 4 0.366476 1.024236 48 \n", + "14 4 0.355641 0.927568 63 \n", + "15 4 0.249737 1.929919 118 \n", + "16 4 0.702277 0.840866 27 \n", + "17 5 0.776536 0.690654 26 \n", + "18 4 0.712537 0.735692 30 \n", + "19 4 0.593335 1.217956 57 \n", + "20 4 0.675407 0.801578 40 \n", + "21 5 0.656056 0.966215 53 \n", + "22 4 0.520831 1.230711 93 \n", + "23 4 0.541081 0.576114 37 \n", + "24 4 0.532877 0.680604 70 \n", + "25 4 0.258280 1.620530 217 \n", + "26 4 0.870464 0.459435 36 \n", + "27 4 0.865687 0.464262 39 \n", + "28 4 0.526176 0.966015 66 \n", + "29 4 0.727517 0.653392 23 \n", + "30 4 0.717091 0.635826 28 \n", + "31 4 0.503059 1.250255 38 \n", + "32 5 0.297069 1.067643 29 \n", + "33 4 0.230332 2.659801 90 \n", + "34 4 0.457563 0.917725 46 \n", + "35 4 0.451412 0.935678 46 \n", + "36 7 0.256945 1.610219 52 \n", + "37 4 0.729010 0.683887 72 \n", + "38 4 0.697358 0.776298 86 \n", + "39 4 0.532208 1.317413 153 " + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Compare the three methods across all top 15 families\n", + "\n", + "comparison_all_methods = pd.concat(\n", + " [family_summary_kmeans, family_summary_gmm, family_summary_agglo],\n", + " axis=0,\n", + " ignore_index=True\n", + ")\n", + "\n", + "comparison_all_methods = comparison_all_methods.sort_values(\n", + " [\"fund_family\", \"silhouette\"],\n", + " ascending=[True, False]\n", + ").reset_index(drop=True)\n", + "\n", + "comparison_all_methods\n" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "68d73439", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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methodn_familiesavg_silhouetteavg_davies_bouldinavg_best_k
0agglo130.6645110.7054344.307692
2kmeans130.6448170.7429544.153846
1gmm140.4674911.5146385.000000
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" + ], + "text/plain": [ + " method n_families avg_silhouette avg_davies_bouldin avg_best_k\n", + "0 agglo 13 0.664511 0.705434 4.307692\n", + "2 kmeans 13 0.644817 0.742954 4.153846\n", + "1 gmm 14 0.467491 1.514638 5.000000" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Method-level average metrics across families\n", + "\n", + "method_comparison_summary = (\n", + " comparison_all_methods.groupby(\"method\", as_index=False)\n", + " .agg(\n", + " n_families=(\"fund_family\", \"count\"),\n", + " avg_silhouette=(\"silhouette\", \"mean\"),\n", + " avg_davies_bouldin=(\"davies_bouldin\", \"mean\"),\n", + " avg_best_k=(\"best_k\", \"mean\")\n", + " )\n", + " .sort_values([\"avg_silhouette\", \"avg_davies_bouldin\"], ascending=[False, True])\n", + ")\n", + "\n", + "method_comparison_summary\n" + ] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}