diff --git a/Clustering_Fund_Family_V6 (1).ipynb b/Clustering_Fund_Family_V6 (1).ipynb new file mode 100644 index 0000000..d35f818 --- /dev/null +++ b/Clustering_Fund_Family_V6 (1).ipynb @@ -0,0 +1,8083 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "13c6141d", + "metadata": {}, + "source": [ + "# Behavioral Clustering of Carmignac Investors\n", + "## FUND LEVEL \n" + ] + }, + { + "cell_type": "markdown", + "id": "28e588fe", + "metadata": {}, + "source": [ + "---\n", + "## 1. Imports \n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "3bc1ffe0", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import re\n", + "import s3fs\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\n", + "from sklearn.metrics import silhouette_score, davies_bouldin_score\n", + "\n", + "sns.set_style(\"whitegrid\")\n", + "pd.set_option(\"display.max_columns\", 200)\n", + "pd.set_option(\"display.max_rows\", 200)\n", + "\n", + "EPS = 1e-9\n", + "RANDOM_STATE = 42" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "69d2dc25", + "metadata": {}, + "outputs": [], + "source": [ + "# Column names\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": "bf5b7a0a", + "metadata": {}, + "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": {}, + "source": [ + "---\n", + "## 2. Data Loading\n", + "\n", + "Three data sources are used:\n", + "- **AUM** (repaired): monthly share quantities per account and ISIN\n", + "- **Flows**: daily net transactions, aggregated to monthly\n", + "- **NAV / Rates**: fund performance and interest rate data for enrichment\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "011958df", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "flows: (2514419, 25)\n", + "aum: (4824814, 19)\n", + "nav: (623914, 6)\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", + "\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(\"s3://projet-bdc-carmignac-g3/paco/AUM_repaired.csv\", low_memory=False) #all)\n", + "\n", + "\n", + "# 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": "code", + "execution_count": 6, + "id": "cadf5a78-53f3-4157-878f-edc615ef1964", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Agreement - Code', 'Company - Id', 'Company - Ultimate Parent Id',\n", + " 'Registrar Account - ID', 'Registrar Account - Region',\n", + " 'RegistrarAccount - Country', 'Product - Asset Type',\n", + " 'Product - Strategy', 'Product - Legal Status', 'Product - Is Dedie ?',\n", + " 'Product - Fund', 'Product - Shareclass Type',\n", + " 'Product - Shareclass Currency', 'Product - Isin',\n", + " 'Centralisation Date', 'Quantity - Subscription',\n", + " 'Quantity - Redemption', 'Quantity - NetFlows',\n", + " 'Value Ccy - Subscription', 'Value Ccy - Redemption',\n", + " 'Value Ccy - NetFlows', 'Value € - Subscription',\n", + " 'Value € - Redemption', 'Value € - NetFlows', 'month'],\n", + " dtype='object')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_flows.columns" + ] + }, + { + "cell_type": "markdown", + "id": "acd89acb-a9c1-4488-a47e-db4ca76b9214", + "metadata": {}, + "source": [ + "## Fund Family Study - Fund ISIN and Name" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "f5c6782a-d1bb-478a-b8d0-9343e1071722", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "65" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_flows['Product - Fund'].nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "9eeabef2-636b-42ec-aa5a-3b3d80c5b0bc", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Carmignac Portfolio Investissement', 'Carmignac Patrimoine',\n", + " 'Carmignac Investissement',\n", + " 'Carmignac Portfolio Emerging Patrimoine',\n", + " 'Carmignac Investissement Latitude', 'Carmignac Multi Expertise',\n", + " 'Carmignac Portfolio Patrimoine Europe', 'Carmignac Credit 2027',\n", + " 'Carmignac Emergents', 'Carmignac Portfolio Climate Transition',\n", + " 'Carmignac Profil Réactif 100', 'Carmignac Absolute Return Europe',\n", + " 'Carmignac Euro-Entrepreneurs', 'Carmignac Court Terme',\n", + " 'Carmignac Portfolio Asia Discovery',\n", + " 'Carmignac Portfolio Grande Europe', 'Carmignac Sécurité',\n", + " 'Carmignac Portfolio Global Bond', 'Carmignac Portfolio Credit',\n", + " 'Carmignac Portfolio Flexible Bond', 'Carmignac Profil Réactif 75',\n", + " 'Carmignac Portfolio EM Debt',\n", + " 'Carmignac Portfolio Euro-Entrepreneurs',\n", + " 'Carmignac Portfolio Grandchildren',\n", + " 'Carmignac Portfolio Investissement Latitude',\n", + " 'Carmignac Portfolio Patrimoine', 'Carmignac Portfolio Sécurité',\n", + " 'Carmignac Portfolio Long-Short European Equities',\n", + " 'Carmignac Portfolio Emergents',\n", + " 'Carmignac Portfolio Long-Short Global Equities',\n", + " 'Carmignac Portfolio Inflation Solution', 'Carmignac Credit 2029',\n", + " 'Carmignac Credit 2031', 'Carmignac Portfolio China New Economy',\n", + " 'Carmignac Portfolio Capital Cube', 'Carmignac Credit 2025',\n", + " 'Carmignac Portfolio Tech Solutions',\n", + " 'Carmignac Epargne Actions Monde ISR',\n", + " 'Carmignac China New Economy', 'Carmignac Portfolio China',\n", + " 'Carmignac S.A. SICAV - PART II UCI Private Evergreen',\n", + " 'Carmignac Portfolio Family Governed',\n", + " 'Carmignac Alts ICAV Carmignac Credit Opportunities',\n", + " 'Carmignac Portfolio Human Xperience',\n", + " 'Carmignac Portfolio Merger Arbitrage Plus',\n", + " 'Carmignac Portfolio Absolute Return Europe',\n", + " 'FP Carmignac European Leaders',\n", + " 'FP Carmignac Global Equity Compounders',\n", + " 'FP Carmignac Emerging Markets', 'FP Carmignac Global Bond',\n", + " 'Carmignac Portfolio Flexible Allocation 2024',\n", + " 'Carmignac Portfolio Merger Arbitrage',\n", + " 'Carmignac Portfolio Active Risk Allocation',\n", + " 'Carmignac Alts ICAV European Long Short', 'Mapfre Carmignac F.P.',\n", + " 'FP Carmignac Emerging Patrimoine', 'FP Carmignac Patrimoine',\n", + " 'FP Carmignac Emerging Discovery',\n", + " 'Credit Suisse Carmignac Emerging Markets Multi-Asset Fund',\n", + " 'Fonditalia Carmignac Active Allocation',\n", + " 'Carmignac Global Active', 'Solys - Carmignac Equity Selection',\n", + " 'LUX IM - Carmignac Emerging Flexible Bond',\n", + " 'Carmignac Portfolio Evolution', 'UFF Grande Europe 0-100'],\n", + " dtype=object)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_flows['Product - Fund'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "3d3012ac-5389-4fe5-9d96-1bca5ffd8985", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Agreement - Code', 'Company - Id', 'Company - Ultimate Parent Id',\n", + " 'Registrar Account - ID', 'Registrar Account - Region',\n", + " 'RegistrarAccount - Country', 'Product - Asset Type',\n", + " 'Product - Strategy', 'Product - Legal Status', 'Product - Is Dedie ?',\n", + " 'Product - Fund', 'Product - Shareclass Type',\n", + " 'Product - Shareclass Currency', 'Product - Isin',\n", + " 'Centralisation Date', 'Quantity - AUM', 'Value - AUM CCY',\n", + " 'Value - AUM €', 'month'],\n", + " dtype='object')" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_aum.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "c505c481-3607-4589-afeb-9b6a58b8ecbc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "69" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_aum['Product - Fund'].nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "9e26280c-5e6f-40af-b86e-34f4440a024d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "387" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_aum['Product - Isin'].nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "102e14d0-f90a-445d-9d12-f6fff2729b0d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.int64(0)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_aum['Product - Fund'].isna().sum() #pas de nan " + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "6f12be2c-e33e-4af6-b185-1b0a2794b9f5", + "metadata": { + "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
39FR001400U4V7Carmignac Credit 2031
40FR001400U4T1Carmignac Credit 2031
41FR001400U4S3Carmignac Credit 2031
42FR001400U4W5Carmignac Credit 2031
43FR001400U4U9Carmignac Credit 2031
44FR001400XCT7Carmignac Credit 2031
45FR0010956607Carmignac Emergents
46FR0011269372Carmignac Emergents
47FR0011269380Carmignac Emergents
48FR0011147446Carmignac Emergents
49FR0010149302Carmignac Emergents
50FR0011269349Carmignac Emergents
51FR0011269364Carmignac Emergents
52FR001400XC60Carmignac Epargne Actions Monde ISR
53FR0010149112Carmignac Euro-Entrepreneurs
54FR0014000AL1Carmignac Euro-Entrepreneurs
55FR0010149278Carmignac Euro-Investissement
56FR00140051L1Carmignac Global Active
57FR0010149096Carmignac Innovation
58FR0011269182Carmignac Investissement
59FR0011269554Carmignac Investissement
60FR0011269190Carmignac Investissement
61FR0010312660Carmignac Investissement
62FR0010956615Carmignac Investissement
63FR0011269570Carmignac Investissement
64FR0010148981Carmignac Investissement
65FR001400KIF0Carmignac Investissement
66FR001400U777Carmignac Investissement Latitude
67FR0010147603Carmignac Investissement Latitude
68FR0013527827Carmignac Investissement Latitude
69FR0010149203Carmignac Multi Expertise
70FR0010956649Carmignac Patrimoine
71FR0011269588Carmignac Patrimoine
72FR0010135103Carmignac Patrimoine
73FR0011269067Carmignac Patrimoine
74FR0011269596Carmignac Patrimoine
75FR0010306142Carmignac Patrimoine
76FR0011443860Carmignac Patrimoine
77FR001400TXI4Carmignac Patrimoine
78FR0011443852Carmignac Patrimoine
79FR0011269075Carmignac Patrimoine
80LU2923680388Carmignac Portfolio Absolute Return Europe
81LU1299301017Carmignac Portfolio Active Risk Allocation
82LU0807689400Carmignac Portfolio Asia Discovery
83LU2427320572Carmignac Portfolio Asia Discovery
84LU2427320499Carmignac Portfolio Asia Discovery
85LU0992630086Carmignac Portfolio Asia Discovery
86LU0553407650Carmignac Portfolio Asia Discovery
87LU0992629823Carmignac Portfolio Asia Discovery
88LU1623762256Carmignac Portfolio Asia Discovery
89LU2420651155Carmignac Portfolio Asia Discovery
90LU0807689582Carmignac Portfolio Asia Discovery
91LU0992629666Carmignac Portfolio Asia Discovery
92LU0992630169Carmignac Portfolio Asia Discovery
93LU2420651239Carmignac Portfolio Asia Discovery
94LU1623762330Carmignac Portfolio Asia Discovery
95LU0992629740Carmignac Portfolio Asia Discovery
96LU0336083810Carmignac Portfolio Asia Discovery
97LU1299307485Carmignac Portfolio Capital Cube
98LU1122113498Carmignac Portfolio Capital Cube
99LU1048598525Carmignac Portfolio Capital Cube
100LU1299308020Carmignac Portfolio Capital Cube
101LU1048598442Carmignac Portfolio Capital Cube
102LU1122072793Carmignac Portfolio China
103LU1122076430Carmignac Portfolio China
104LU2295992320Carmignac Portfolio China New Economy
105LU2295992676Carmignac Portfolio China New Economy
106LU2427321117Carmignac Portfolio China New Economy
107LU1623762090Carmignac Portfolio Climate Transition
108LU0553415323Carmignac Portfolio Climate Transition
109LU0992629310Carmignac Portfolio Climate Transition
110LU0164455502Carmignac Portfolio Climate Transition
111LU0992629401Carmignac Portfolio Climate Transition
112LU0992629583Carmignac Portfolio Climate Transition
113LU0807690754Carmignac Portfolio Climate Transition
114LU0705572823Carmignac Portfolio Climate Transition
115LU0992629237Carmignac Portfolio Climate Transition
116LU0807690671Carmignac Portfolio Climate Transition
117LU0992629153Carmignac Portfolio Climate Transition
118LU2772084310Carmignac Portfolio Credit
119LU1623762843Carmignac Portfolio Credit
120LU1623762926Carmignac Portfolio Credit
121LU2475941915Carmignac Portfolio Credit
122LU1932489690Carmignac Portfolio Credit
123LU2020612730Carmignac Portfolio Credit
124LU1623763064Carmignac Portfolio Credit
125LU2020612904Carmignac Portfolio Credit
126LU1623763148Carmignac Portfolio Credit
127LU2020612490Carmignac Portfolio Credit
128LU2020612813Carmignac Portfolio Credit
129LU2427321208Carmignac Portfolio Credit
130LU2638444914Carmignac Portfolio EM Debt
131LU1623763221Carmignac Portfolio EM Debt
132LU2427320903Carmignac Portfolio EM Debt
133LU2277146382Carmignac Portfolio EM Debt
134LU2346238343Carmignac Portfolio EM Debt
135LU2427320812Carmignac Portfolio EM Debt
136LU1623763734Carmignac Portfolio EM Debt
137LU2420650777Carmignac Portfolio Emergents
138LU0992627025Carmignac Portfolio Emergents
139LU1299303575Carmignac Portfolio Emergents
140LU1299303229Carmignac Portfolio Emergents
141LU0992626720Carmignac Portfolio Emergents
142LU0992626563Carmignac Portfolio Emergents
143LU2420651072Carmignac Portfolio Emergents
144LU1623762413Carmignac Portfolio Emergents
145LU0992626647Carmignac Portfolio Emergents
146LU0992626993Carmignac Portfolio Emergents
147LU0992626480Carmignac Portfolio Emergents
148LU1792391242Carmignac Portfolio Emergents
149LU1299303062Carmignac Portfolio Emergents
150LU0807691059Carmignac Portfolio Emerging Patrimoine
151LU0992631563Carmignac Portfolio Emerging Patrimoine
152LU1792392059Carmignac Portfolio Emerging Patrimoine
153LU0992631720Carmignac Portfolio Emerging Patrimoine
154LU0992631993Carmignac Portfolio Emerging Patrimoine
155LU0992632025Carmignac Portfolio Emerging Patrimoine
156LU0592699259Carmignac Portfolio Emerging Patrimoine
157LU0807690911Carmignac Portfolio Emerging Patrimoine
158LU0592699093Carmignac Portfolio Emerging Patrimoine
159LU0592698954Carmignac Portfolio Emerging Patrimoine
160LU0807690838Carmignac Portfolio Emerging Patrimoine
161LU0992631647Carmignac Portfolio Emerging Patrimoine
162LU0592699176Carmignac Portfolio Emerging Patrimoine
163LU0992625755Carmignac Portfolio Euro-Entrepreneurs
164LU1792392646Carmignac Portfolio Euro-Entrepreneurs
165LU0992625672Carmignac Portfolio Euro-Entrepreneurs
166LU1299303906Carmignac Portfolio Euro-Entrepreneurs
167LU1623762686Carmignac Portfolio Euro-Entrepreneurs
168LU1299304201Carmignac Portfolio Euro-Entrepreneurs
169LU0992625599Carmignac Portfolio Euro-Entrepreneurs
170LU1299304540Carmignac Portfolio Euro-Entrepreneurs
171LU0992625326Carmignac Portfolio Euro-Entrepreneurs
172LU1299304896Carmignac Portfolio Euro-Entrepreneurs
173LU2534983825Carmignac Portfolio Evolution
174LU2462965026Carmignac Portfolio Evolution
175LU1966630706Carmignac Portfolio Family Governed
176LU1966630961Carmignac Portfolio Family Governed
177LU2004385154Carmignac Portfolio Family Governed
178LU1873147984Carmignac Portfolio Flexible Allocation 2024
179LU1873148016Carmignac Portfolio Flexible Allocation 2024
180LU0807689749Carmignac Portfolio Flexible Bond
181LU0992631050Carmignac Portfolio Flexible Bond
182LU2490324501Carmignac Portfolio Flexible Bond
183LU0336084032Carmignac Portfolio Flexible Bond
184LU2490324410Carmignac Portfolio Flexible Bond
185LU0992631480Carmignac Portfolio Flexible Bond
186LU1299302684Carmignac Portfolio Flexible Bond
187LU2490324337Carmignac Portfolio Flexible Bond
188LU2427321547Carmignac Portfolio Flexible Bond
189LU3060210526Carmignac Portfolio Flexible Bond
190LU0807689665Carmignac Portfolio Flexible Bond
191LU0992631308Carmignac Portfolio Flexible Bond
192LU0992631217Carmignac Portfolio Flexible Bond
193LU0553411090Carmignac Portfolio Flexible Bond
194LU0807690085Carmignac Portfolio Global Bond
195LU0992630243Carmignac Portfolio Global Bond
196LU0992630599Carmignac Portfolio Global Bond
197LU0553413385Carmignac Portfolio Global Bond
198LU0992630755Carmignac Portfolio Global Bond
199LU0992630326Carmignac Portfolio Global Bond
200LU1792392307Carmignac Portfolio Global Bond
201LU1299302254Carmignac Portfolio Global Bond
202LU0992630839Carmignac Portfolio Global Bond
203LU0992630912Carmignac Portfolio Global Bond
204LU1792392216Carmignac Portfolio Global Bond
205LU0807689822Carmignac Portfolio Global Bond
206LU0807690242Carmignac Portfolio Global Bond
207LU2420652047Carmignac Portfolio Global Bond
208LU2420651825Carmignac Portfolio Global Bond
209LU2278973172Carmignac Portfolio Global Bond
210LU1299301876Carmignac Portfolio Global Bond
211LU0807690168Carmignac Portfolio Global Bond
212LU1299302098Carmignac Portfolio Global Bond
213LU1748451231Carmignac Portfolio Global Bond
214LU1623762769Carmignac Portfolio Global Bond
215LU0336083497Carmignac Portfolio Global Bond
216LU1966631266Carmignac Portfolio Grandchildren
217LU2004385667Carmignac Portfolio Grandchildren
218LU2427320739Carmignac Portfolio Grandchildren
219LU1966631001Carmignac Portfolio Grandchildren
220LU2782951763Carmignac Portfolio Grandchildren
221LU2420652476Carmignac Portfolio Grandchildren
222LU2420652393Carmignac Portfolio Grandchildren
223LU0553405878Carmignac Portfolio Grande Europe
224LU2420652989Carmignac Portfolio Grande Europe
225LU0807689079Carmignac Portfolio Grande Europe
226LU1792392729Carmignac Portfolio Grande Europe
227LU0807689152Carmignac Portfolio Grande Europe
228LU2420652807Carmignac Portfolio Grande Europe
229LU2206982626Carmignac Portfolio Grande Europe
230LU0099161993Carmignac Portfolio Grande Europe
231LU0992628932Carmignac Portfolio Grande Europe
232LU2212178615Carmignac Portfolio Grande Europe
233LU2420652633Carmignac Portfolio Grande Europe
234LU0807688931Carmignac Portfolio Grande Europe
235LU1623761951Carmignac Portfolio Grande Europe
236LU2139905785Carmignac Portfolio Grande Europe
237LU0807689236Carmignac Portfolio Grande Europe
238LU1299301280Carmignac Portfolio Grande Europe
239LU0992628775Carmignac Portfolio Grande Europe
240LU0294249692Carmignac Portfolio Grande Europe
241LU0992628858Carmignac Portfolio Grande Europe
242LU0992629070Carmignac Portfolio Grande Europe
243LU2154448133Carmignac Portfolio Grande Europe
244LU2295992163Carmignac Portfolio Human Xperience
245LU2295992247Carmignac Portfolio Human Xperience
246LU2947293564Carmignac Portfolio Human Xperience
247LU2601234839Carmignac Portfolio Human Xperience
248LU3088560464Carmignac Portfolio Inflation Solution
249LU2715954504Carmignac Portfolio Inflation Solution
250LU2715954330Carmignac Portfolio Inflation Solution
251LU0109929157Carmignac Portfolio Infotech
252LU0992626134Carmignac Portfolio Investissement
253LU1299311321Carmignac Portfolio Investissement
254LU0992626050Carmignac Portfolio Investissement
255LU0992626217Carmignac Portfolio Investissement
256LU0992625839Carmignac Portfolio Investissement
257LU0992625912Carmignac Portfolio Investissement
258LU1299311834Carmignac Portfolio Investissement
259LU3149200746Carmignac Portfolio Investissement
260LU1299311677Carmignac Portfolio Investissement
261LU1299311164Carmignac Portfolio Investissement
262LU1046327349Carmignac Portfolio Investissement Latitude
263LU1046327000Carmignac Portfolio Investissement Latitude
264LU1046327182Carmignac Portfolio Investissement Latitude
265LU1046327422Carmignac Portfolio Investissement Latitude
266LU1317704051Carmignac Portfolio Long-Short European Equities
267LU1317704135Carmignac Portfolio Long-Short European Equities
268LU1317704218Carmignac Portfolio Long-Short European Equities
269LU0992627538Carmignac Portfolio Long-Short European Equities
270LU0992627371Carmignac Portfolio Long-Short European Equities
271LU1317704309Carmignac Portfolio Long-Short European Equities
272LU2914157503Carmignac Portfolio Long-Short European Equities
273LU0992627298Carmignac Portfolio Long-Short European Equities
274LU0992627454Carmignac Portfolio Long-Short European Equities
275LU3135111204Carmignac Portfolio Long-Short European Equities
276LU1910837415Carmignac Portfolio Long-Short Global Equities
277LU2278971804Carmignac Portfolio Long-Short Global Equities
278LU1910837258Carmignac Portfolio Long-Short Global Equities
279LU0807690598Carmignac Portfolio Market Neutral
280LU0413372060Carmignac Portfolio Market Neutral
281LU0807690325Carmignac Portfolio Market Neutral
282LU0553414516Carmignac Portfolio Market Neutral
283LU2585800795Carmignac Portfolio Merger Arbitrage
284LU2585801173Carmignac Portfolio Merger Arbitrage Plus
285LU2585801256Carmignac Portfolio Merger Arbitrage Plus
286LU3016365556Carmignac Portfolio Merger Arbitrage Plus
287LU2585801330Carmignac Portfolio Merger Arbitrage Plus
288LU1163533695Carmignac Portfolio Patrimoine
289LU0992627884Carmignac Portfolio Patrimoine
290LU1163533851Carmignac Portfolio Patrimoine
291LU0992627611Carmignac Portfolio Patrimoine
292LU1792391754Carmignac Portfolio Patrimoine
293LU1299305190Carmignac Portfolio Patrimoine
294LU0992628692Carmignac Portfolio Patrimoine
295LU0992627967Carmignac Portfolio Patrimoine
296LU1792391671Carmignac Portfolio Patrimoine
297LU0992628346Carmignac Portfolio Patrimoine
298LU0992628429Carmignac Portfolio Patrimoine
299LU1163533935Carmignac Portfolio Patrimoine
300LU1299305513Carmignac Portfolio Patrimoine
301LU1792391838Carmignac Portfolio Patrimoine
302LU1299305786Carmignac Portfolio Patrimoine
303LU1299305356Carmignac Portfolio Patrimoine
304LU1163533349Carmignac Portfolio Patrimoine
305LU1299305943Carmignac Portfolio Patrimoine
306LU0992628189Carmignac Portfolio Patrimoine
307LU1163533422Carmignac Portfolio Patrimoine
308LU1163533778Carmignac Portfolio Patrimoine
309LU0992628007Carmignac Portfolio Patrimoine
310LU0992627702Carmignac Portfolio Patrimoine
311LU1744630424Carmignac Portfolio Patrimoine Europe
312LU2970252875Carmignac Portfolio Patrimoine Europe
313LU2181689576Carmignac Portfolio Patrimoine Europe
314LU2490324766Carmignac Portfolio Patrimoine Europe
315LU2369619742Carmignac Portfolio Patrimoine Europe
316LU2970252958Carmignac Portfolio Patrimoine Europe
317LU2490324683Carmignac Portfolio Patrimoine Europe
318LU1744628287Carmignac Portfolio Patrimoine Europe
319LU1932476879Carmignac Portfolio Patrimoine Europe
320LU2420653367Carmignac Portfolio Sécurité
321LU2490324253Carmignac Portfolio Sécurité
322LU0992625169Carmignac Portfolio Sécurité
323LU2426951195Carmignac Portfolio Sécurité
324LU0992625243Carmignac Portfolio Sécurité
325LU1299306321Carmignac Portfolio Sécurité
326LU1299306834Carmignac Portfolio Sécurité
327LU1299307055Carmignac Portfolio Sécurité
328LU0992624949Carmignac Portfolio Sécurité
329LU1299306677Carmignac Portfolio Sécurité
330LU1792391911Carmignac Portfolio Sécurité
331LU0992625086Carmignac Portfolio Sécurité
332LU2809794220Carmignac Portfolio Tech Solutions
333LU2809794493Carmignac Portfolio Tech Solutions
334LU2809794816Carmignac Portfolio Tech Solutions
335LU2812616816Carmignac Portfolio Tech Solutions
336LU2809794576Carmignac Portfolio Tech Solutions
337LU3060210443Carmignac Portfolio Tech Solutions
338LU2809794733Carmignac Portfolio Tech Solutions
339FR0010149211Carmignac Profil Réactif 100
340FR0010148999Carmignac Profil Réactif 75
341LU2799473124Carmignac S.A. SICAV - PART II UCI Private Eve...
342LU2799473397Carmignac S.A. SICAV - PART II UCI Private Eve...
343FR0011269109Carmignac Sécurité
344FR0011269125Carmignac Sécurité
345FR0011269141Carmignac Sécurité
346FR0011269083Carmignac Sécurité
347FR0010149120Carmignac Sécurité
348FR0011269091Carmignac Sécurité
349LU1720511549Credit Suisse Carmignac Emerging Markets Multi...
350LU1720511895Credit Suisse Carmignac Emerging Markets Multi...
351LU1720513321Credit Suisse Carmignac Emerging Markets Multi...
352LU1720513677Credit Suisse Carmignac Emerging Markets Multi...
353LU1720515706Credit Suisse Carmignac Emerging Markets Multi...
354LU1720515615Credit Suisse Carmignac Emerging Markets Multi...
355GB00BJHPHX25FP Carmignac Emerging Discovery
356GB00BK1W2P36FP Carmignac Emerging Markets
357GB00BQXJRP97FP Carmignac Emerging Markets
358GB00BJHPHY32FP Carmignac Emerging Patrimoine
359GB00BJHPX895FP Carmignac Emerging Patrimoine
360GB00BNDQ7P95FP Carmignac European Leaders
361GB00BNDQ7N71FP Carmignac European Leaders
362GB00BJHPXB21FP Carmignac European Leaders
363GB00BJHPHZ49FP Carmignac European Leaders
364GB00BRBXQT75FP Carmignac Global Bond
365GB00BJHQ2K78FP Carmignac Global Bond
366GB00BJHPZ502FP Carmignac Global Bond
367GB00BJHQ2J63FP Carmignac Global Bond
368GB00BJHPJ035FP Carmignac Global Bond
369GB00BNDQ7Q03FP Carmignac Global Equity Compounders
370GB00BMGLBL82FP Carmignac Global Equity Compounders
371GB00BMGLBK75FP Carmignac Global Equity Compounders
372GB00BMF9P332FP Carmignac Global Equity Compounders
373GB00BK1W2N12FP Carmignac Patrimoine
374LU2251305400Fonditalia Carmignac Active Allocation
375LU2251305319Fonditalia Carmignac Active Allocation
376LU2251305236Fonditalia Carmignac Active Allocation
377LU2250732448Fonditalia Carmignac Active Allocation
378LU2250732281Fonditalia Carmignac Active Allocation
379LU2721495427LUX IM - Carmignac Emerging Flexible Bond
380LU2721494966LUX IM - Carmignac Emerging Flexible Bond
381LU2721495005LUX IM - Carmignac Emerging Flexible Bond
382LU2721495260LUX IM - Carmignac Emerging Flexible Bond
383LU3124376941LUX IM - Carmignac Emerging Flexible Bond
384MAPFRECG0001Mapfre Carmignac F.P.
385LU2544562502Solys - Carmignac Equity Selection
386FR0011365873UFF Grande Europe 0-100
\n", + "
" + ], + "text/plain": [ + " Product - Isin Product - Fund\n", + "0 FR0011269166 Carmignac Absolute Return Europe\n", + "1 FR0011269158 Carmignac Absolute Return Europe\n", + "2 FR0011269406 Carmignac Absolute Return Europe\n", + "3 FR0010149179 Carmignac Absolute Return Europe\n", + "4 FR0011269547 Carmignac Absolute Return Europe\n", + "5 FR001400JG56 Carmignac Absolute Return Europe\n", + "6 IE00049IEN86 Carmignac Alts ICAV Carmignac Credit Opportuni...\n", + "7 IE000L20NS05 Carmignac Alts ICAV Carmignac Credit Opportuni...\n", + "8 IE000RU6SF09 Carmignac Alts ICAV European Long Short\n", + "9 FR0013467024 Carmignac China New Economy\n", + "10 FR001400R3Z5 Carmignac China New Economy\n", + "11 FR0014002E46 Carmignac China New Economy\n", + "12 FR0011269331 Carmignac Court Terme\n", + "13 FR0010149161 Carmignac Court Terme\n", + "14 FR0011269323 Carmignac Court Terme\n", + "15 FR0000999999 Carmignac Court Terme\n", + "16 FR0013516028 Carmignac Credit 2025\n", + "17 FR0013516002 Carmignac Credit 2025\n", + "18 FR0013516010 Carmignac Credit 2025\n", + "19 FR0013515970 Carmignac Credit 2025\n", + "20 FR0013515996 Carmignac Credit 2025\n", + "21 FR0013516036 Carmignac Credit 2025\n", + "22 FR0014008231 Carmignac Credit 2027\n", + "23 FR0014008223 Carmignac Credit 2027\n", + "24 FR00140081Z8 Carmignac Credit 2027\n", + "25 FR0014008207 Carmignac Credit 2027\n", + "26 FR0014008215 Carmignac Credit 2027\n", + "27 FR00140081Y1 Carmignac Credit 2027\n", + "28 FR001400M1O8 Carmignac Credit 2029\n", + "29 FR001400M1Q3 Carmignac Credit 2029\n", + "30 FR001400KAY8 Carmignac Credit 2029\n", + "31 FR001400KAX0 Carmignac Credit 2029\n", + "32 FR001400M1P5 Carmignac Credit 2029\n", + "33 FR001400KAW2 Carmignac Credit 2029\n", + "34 FR001400KAV4 Carmignac Credit 2029\n", + "35 FR001400M1N0 Carmignac Credit 2029\n", + "36 FR001400U4X3 Carmignac Credit 2031\n", + "37 FR001400U4Y1 Carmignac Credit 2031\n", + "38 FR001400U4Z8 Carmignac Credit 2031\n", + "39 FR001400U4V7 Carmignac Credit 2031\n", + "40 FR001400U4T1 Carmignac Credit 2031\n", + "41 FR001400U4S3 Carmignac Credit 2031\n", + "42 FR001400U4W5 Carmignac Credit 2031\n", + "43 FR001400U4U9 Carmignac Credit 2031\n", + "44 FR001400XCT7 Carmignac Credit 2031\n", + "45 FR0010956607 Carmignac Emergents\n", + "46 FR0011269372 Carmignac Emergents\n", + "47 FR0011269380 Carmignac Emergents\n", + "48 FR0011147446 Carmignac Emergents\n", + "49 FR0010149302 Carmignac Emergents\n", + "50 FR0011269349 Carmignac Emergents\n", + "51 FR0011269364 Carmignac Emergents\n", + "52 FR001400XC60 Carmignac Epargne Actions Monde ISR\n", + "53 FR0010149112 Carmignac Euro-Entrepreneurs\n", + "54 FR0014000AL1 Carmignac Euro-Entrepreneurs\n", + "55 FR0010149278 Carmignac Euro-Investissement\n", + "56 FR00140051L1 Carmignac Global Active\n", + "57 FR0010149096 Carmignac Innovation\n", + "58 FR0011269182 Carmignac Investissement\n", + "59 FR0011269554 Carmignac Investissement\n", + "60 FR0011269190 Carmignac Investissement\n", + "61 FR0010312660 Carmignac Investissement\n", + "62 FR0010956615 Carmignac Investissement\n", + "63 FR0011269570 Carmignac Investissement\n", + "64 FR0010148981 Carmignac Investissement\n", + "65 FR001400KIF0 Carmignac Investissement\n", + "66 FR001400U777 Carmignac Investissement Latitude\n", + "67 FR0010147603 Carmignac Investissement Latitude\n", + "68 FR0013527827 Carmignac Investissement Latitude\n", + "69 FR0010149203 Carmignac Multi Expertise\n", + "70 FR0010956649 Carmignac Patrimoine\n", + "71 FR0011269588 Carmignac Patrimoine\n", + "72 FR0010135103 Carmignac Patrimoine\n", + "73 FR0011269067 Carmignac Patrimoine\n", + "74 FR0011269596 Carmignac Patrimoine\n", + "75 FR0010306142 Carmignac Patrimoine\n", + "76 FR0011443860 Carmignac Patrimoine\n", + "77 FR001400TXI4 Carmignac Patrimoine\n", + "78 FR0011443852 Carmignac Patrimoine\n", + "79 FR0011269075 Carmignac Patrimoine\n", + "80 LU2923680388 Carmignac Portfolio Absolute Return Europe\n", + "81 LU1299301017 Carmignac Portfolio Active Risk Allocation\n", + "82 LU0807689400 Carmignac Portfolio Asia Discovery\n", + "83 LU2427320572 Carmignac Portfolio Asia Discovery\n", + "84 LU2427320499 Carmignac Portfolio Asia Discovery\n", + "85 LU0992630086 Carmignac Portfolio Asia Discovery\n", + "86 LU0553407650 Carmignac Portfolio Asia Discovery\n", + "87 LU0992629823 Carmignac Portfolio Asia Discovery\n", + "88 LU1623762256 Carmignac Portfolio Asia Discovery\n", + "89 LU2420651155 Carmignac Portfolio Asia Discovery\n", + "90 LU0807689582 Carmignac Portfolio Asia Discovery\n", + "91 LU0992629666 Carmignac Portfolio Asia Discovery\n", + "92 LU0992630169 Carmignac Portfolio Asia Discovery\n", + "93 LU2420651239 Carmignac Portfolio Asia Discovery\n", + "94 LU1623762330 Carmignac Portfolio Asia Discovery\n", + "95 LU0992629740 Carmignac Portfolio Asia Discovery\n", + "96 LU0336083810 Carmignac Portfolio Asia Discovery\n", + "97 LU1299307485 Carmignac Portfolio Capital Cube\n", + "98 LU1122113498 Carmignac Portfolio Capital Cube\n", + "99 LU1048598525 Carmignac Portfolio Capital Cube\n", + "100 LU1299308020 Carmignac Portfolio Capital Cube\n", + "101 LU1048598442 Carmignac Portfolio Capital Cube\n", + "102 LU1122072793 Carmignac Portfolio China\n", + "103 LU1122076430 Carmignac Portfolio China\n", + "104 LU2295992320 Carmignac Portfolio China New Economy\n", + "105 LU2295992676 Carmignac Portfolio China New Economy\n", + "106 LU2427321117 Carmignac Portfolio China New Economy\n", + "107 LU1623762090 Carmignac Portfolio Climate Transition\n", + "108 LU0553415323 Carmignac Portfolio Climate Transition\n", + "109 LU0992629310 Carmignac Portfolio Climate Transition\n", + "110 LU0164455502 Carmignac Portfolio Climate Transition\n", + "111 LU0992629401 Carmignac Portfolio Climate Transition\n", + "112 LU0992629583 Carmignac Portfolio Climate Transition\n", + "113 LU0807690754 Carmignac Portfolio Climate Transition\n", + "114 LU0705572823 Carmignac Portfolio Climate Transition\n", + "115 LU0992629237 Carmignac Portfolio Climate Transition\n", + "116 LU0807690671 Carmignac Portfolio Climate Transition\n", + "117 LU0992629153 Carmignac Portfolio Climate Transition\n", + "118 LU2772084310 Carmignac Portfolio Credit\n", + "119 LU1623762843 Carmignac Portfolio Credit\n", + "120 LU1623762926 Carmignac Portfolio Credit\n", + "121 LU2475941915 Carmignac Portfolio Credit\n", + "122 LU1932489690 Carmignac Portfolio Credit\n", + "123 LU2020612730 Carmignac Portfolio Credit\n", + "124 LU1623763064 Carmignac Portfolio Credit\n", + "125 LU2020612904 Carmignac Portfolio Credit\n", + "126 LU1623763148 Carmignac Portfolio Credit\n", + "127 LU2020612490 Carmignac Portfolio Credit\n", + "128 LU2020612813 Carmignac Portfolio Credit\n", + "129 LU2427321208 Carmignac Portfolio Credit\n", + "130 LU2638444914 Carmignac Portfolio EM Debt\n", + "131 LU1623763221 Carmignac Portfolio EM Debt\n", + "132 LU2427320903 Carmignac Portfolio EM Debt\n", + "133 LU2277146382 Carmignac Portfolio EM Debt\n", + "134 LU2346238343 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Portfolio Emerging Patrimoine\n", + "153 LU0992631720 Carmignac Portfolio Emerging Patrimoine\n", + "154 LU0992631993 Carmignac Portfolio Emerging Patrimoine\n", + "155 LU0992632025 Carmignac Portfolio Emerging Patrimoine\n", + "156 LU0592699259 Carmignac Portfolio Emerging Patrimoine\n", + "157 LU0807690911 Carmignac Portfolio Emerging Patrimoine\n", + "158 LU0592699093 Carmignac Portfolio Emerging Patrimoine\n", + "159 LU0592698954 Carmignac Portfolio Emerging Patrimoine\n", + "160 LU0807690838 Carmignac Portfolio Emerging Patrimoine\n", + "161 LU0992631647 Carmignac Portfolio Emerging Patrimoine\n", + "162 LU0592699176 Carmignac Portfolio Emerging Patrimoine\n", + "163 LU0992625755 Carmignac Portfolio Euro-Entrepreneurs\n", + "164 LU1792392646 Carmignac Portfolio Euro-Entrepreneurs\n", + "165 LU0992625672 Carmignac Portfolio Euro-Entrepreneurs\n", + "166 LU1299303906 Carmignac Portfolio Euro-Entrepreneurs\n", + "167 LU1623762686 Carmignac Portfolio Euro-Entrepreneurs\n", + "168 LU1299304201 Carmignac Portfolio Euro-Entrepreneurs\n", + "169 LU0992625599 Carmignac Portfolio Euro-Entrepreneurs\n", + "170 LU1299304540 Carmignac Portfolio Euro-Entrepreneurs\n", + "171 LU0992625326 Carmignac Portfolio Euro-Entrepreneurs\n", + "172 LU1299304896 Carmignac Portfolio Euro-Entrepreneurs\n", + "173 LU2534983825 Carmignac Portfolio Evolution\n", + "174 LU2462965026 Carmignac Portfolio Evolution\n", + "175 LU1966630706 Carmignac Portfolio Family Governed\n", + "176 LU1966630961 Carmignac Portfolio Family Governed\n", + "177 LU2004385154 Carmignac Portfolio Family Governed\n", + "178 LU1873147984 Carmignac Portfolio Flexible Allocation 2024\n", + "179 LU1873148016 Carmignac Portfolio Flexible Allocation 2024\n", + "180 LU0807689749 Carmignac Portfolio Flexible Bond\n", + "181 LU0992631050 Carmignac Portfolio Flexible Bond\n", + "182 LU2490324501 Carmignac Portfolio Flexible Bond\n", + "183 LU0336084032 Carmignac Portfolio Flexible Bond\n", + "184 LU2490324410 Carmignac Portfolio Flexible Bond\n", + "185 LU0992631480 Carmignac Portfolio Flexible Bond\n", + "186 LU1299302684 Carmignac Portfolio Flexible Bond\n", + "187 LU2490324337 Carmignac Portfolio Flexible Bond\n", + "188 LU2427321547 Carmignac Portfolio Flexible Bond\n", + "189 LU3060210526 Carmignac Portfolio Flexible Bond\n", + "190 LU0807689665 Carmignac Portfolio Flexible Bond\n", + "191 LU0992631308 Carmignac Portfolio Flexible Bond\n", + "192 LU0992631217 Carmignac Portfolio Flexible Bond\n", + "193 LU0553411090 Carmignac Portfolio Flexible Bond\n", + "194 LU0807690085 Carmignac Portfolio Global Bond\n", + "195 LU0992630243 Carmignac Portfolio Global Bond\n", + "196 LU0992630599 Carmignac Portfolio Global Bond\n", + "197 LU0553413385 Carmignac Portfolio Global Bond\n", + "198 LU0992630755 Carmignac Portfolio Global Bond\n", + "199 LU0992630326 Carmignac Portfolio Global Bond\n", + "200 LU1792392307 Carmignac Portfolio Global Bond\n", + "201 LU1299302254 Carmignac Portfolio Global Bond\n", + "202 LU0992630839 Carmignac Portfolio Global Bond\n", + "203 LU0992630912 Carmignac Portfolio Global Bond\n", + "204 LU1792392216 Carmignac Portfolio Global Bond\n", + "205 LU0807689822 Carmignac Portfolio Global Bond\n", + "206 LU0807690242 Carmignac Portfolio Global Bond\n", + "207 LU2420652047 Carmignac Portfolio Global Bond\n", + "208 LU2420651825 Carmignac Portfolio Global Bond\n", + "209 LU2278973172 Carmignac Portfolio Global Bond\n", + "210 LU1299301876 Carmignac Portfolio Global Bond\n", + "211 LU0807690168 Carmignac Portfolio Global Bond\n", + "212 LU1299302098 Carmignac Portfolio Global Bond\n", + "213 LU1748451231 Carmignac Portfolio Global Bond\n", + "214 LU1623762769 Carmignac Portfolio Global Bond\n", + "215 LU0336083497 Carmignac Portfolio Global Bond\n", + "216 LU1966631266 Carmignac Portfolio Grandchildren\n", + "217 LU2004385667 Carmignac Portfolio Grandchildren\n", + "218 LU2427320739 Carmignac Portfolio Grandchildren\n", + "219 LU1966631001 Carmignac Portfolio 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 Europe\n", + "237 LU0807689236 Carmignac Portfolio Grande Europe\n", + "238 LU1299301280 Carmignac Portfolio Grande Europe\n", + "239 LU0992628775 Carmignac Portfolio Grande Europe\n", + "240 LU0294249692 Carmignac Portfolio Grande Europe\n", + "241 LU0992628858 Carmignac Portfolio Grande Europe\n", + "242 LU0992629070 Carmignac Portfolio Grande Europe\n", + "243 LU2154448133 Carmignac Portfolio Grande Europe\n", + "244 LU2295992163 Carmignac Portfolio Human Xperience\n", + "245 LU2295992247 Carmignac Portfolio Human Xperience\n", + "246 LU2947293564 Carmignac Portfolio Human Xperience\n", + "247 LU2601234839 Carmignac Portfolio Human Xperience\n", + "248 LU3088560464 Carmignac Portfolio Inflation Solution\n", + "249 LU2715954504 Carmignac Portfolio Inflation Solution\n", + "250 LU2715954330 Carmignac Portfolio Inflation Solution\n", + "251 LU0109929157 Carmignac Portfolio Infotech\n", + "252 LU0992626134 Carmignac Portfolio Investissement\n", + "253 LU1299311321 Carmignac Portfolio Investissement\n", + "254 LU0992626050 Carmignac Portfolio Investissement\n", + "255 LU0992626217 Carmignac Portfolio Investissement\n", + "256 LU0992625839 Carmignac Portfolio Investissement\n", + "257 LU0992625912 Carmignac Portfolio Investissement\n", + "258 LU1299311834 Carmignac Portfolio Investissement\n", + "259 LU3149200746 Carmignac Portfolio Investissement\n", + "260 LU1299311677 Carmignac Portfolio Investissement\n", + "261 LU1299311164 Carmignac Portfolio Investissement\n", + "262 LU1046327349 Carmignac Portfolio Investissement Latitude\n", + "263 LU1046327000 Carmignac Portfolio Investissement Latitude\n", + "264 LU1046327182 Carmignac Portfolio Investissement Latitude\n", + "265 LU1046327422 Carmignac Portfolio Investissement Latitude\n", + "266 LU1317704051 Carmignac Portfolio Long-Short European Equities\n", + "267 LU1317704135 Carmignac Portfolio Long-Short European Equities\n", + "268 LU1317704218 Carmignac Portfolio Long-Short European Equities\n", + "269 LU0992627538 Carmignac Portfolio Long-Short European Equities\n", + "270 LU0992627371 Carmignac Portfolio Long-Short European Equities\n", + "271 LU1317704309 Carmignac Portfolio Long-Short European Equities\n", + "272 LU2914157503 Carmignac Portfolio Long-Short European Equities\n", + "273 LU0992627298 Carmignac Portfolio Long-Short European Equities\n", + "274 LU0992627454 Carmignac Portfolio Long-Short European Equities\n", + "275 LU3135111204 Carmignac Portfolio Long-Short European Equities\n", + "276 LU1910837415 Carmignac Portfolio Long-Short Global Equities\n", + "277 LU2278971804 Carmignac Portfolio Long-Short Global Equities\n", + "278 LU1910837258 Carmignac Portfolio Long-Short Global Equities\n", + "279 LU0807690598 Carmignac Portfolio Market Neutral\n", + "280 LU0413372060 Carmignac Portfolio Market Neutral\n", + "281 LU0807690325 Carmignac Portfolio Market Neutral\n", + "282 LU0553414516 Carmignac Portfolio Market Neutral\n", + "283 LU2585800795 Carmignac Portfolio Merger 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LU1792391838 Carmignac Portfolio Patrimoine\n", + "302 LU1299305786 Carmignac Portfolio Patrimoine\n", + "303 LU1299305356 Carmignac Portfolio Patrimoine\n", + "304 LU1163533349 Carmignac Portfolio Patrimoine\n", + "305 LU1299305943 Carmignac Portfolio Patrimoine\n", + "306 LU0992628189 Carmignac Portfolio Patrimoine\n", + "307 LU1163533422 Carmignac Portfolio Patrimoine\n", + "308 LU1163533778 Carmignac Portfolio Patrimoine\n", + "309 LU0992628007 Carmignac Portfolio Patrimoine\n", + "310 LU0992627702 Carmignac Portfolio Patrimoine\n", + "311 LU1744630424 Carmignac Portfolio Patrimoine Europe\n", + "312 LU2970252875 Carmignac Portfolio Patrimoine Europe\n", + "313 LU2181689576 Carmignac Portfolio Patrimoine Europe\n", + "314 LU2490324766 Carmignac Portfolio Patrimoine Europe\n", + "315 LU2369619742 Carmignac Portfolio Patrimoine Europe\n", + "316 LU2970252958 Carmignac Portfolio Patrimoine Europe\n", + "317 LU2490324683 Carmignac Portfolio Patrimoine Europe\n", + "318 LU1744628287 Carmignac Portfolio Patrimoine Europe\n", + "319 LU1932476879 Carmignac Portfolio Patrimoine Europe\n", + "320 LU2420653367 Carmignac Portfolio Sécurité\n", + "321 LU2490324253 Carmignac Portfolio Sécurité\n", + "322 LU0992625169 Carmignac Portfolio Sécurité\n", + "323 LU2426951195 Carmignac Portfolio Sécurité\n", + "324 LU0992625243 Carmignac Portfolio Sécurité\n", + "325 LU1299306321 Carmignac Portfolio Sécurité\n", + "326 LU1299306834 Carmignac Portfolio Sécurité\n", + "327 LU1299307055 Carmignac Portfolio Sécurité\n", + "328 LU0992624949 Carmignac Portfolio Sécurité\n", + "329 LU1299306677 Carmignac Portfolio Sécurité\n", + "330 LU1792391911 Carmignac Portfolio Sécurité\n", + "331 LU0992625086 Carmignac Portfolio Sécurité\n", + "332 LU2809794220 Carmignac Portfolio Tech Solutions\n", + "333 LU2809794493 Carmignac Portfolio Tech Solutions\n", + "334 LU2809794816 Carmignac Portfolio Tech Solutions\n", + "335 LU2812616816 Carmignac Portfolio Tech Solutions\n", + "336 LU2809794576 Carmignac Portfolio Tech Solutions\n", + "337 LU3060210443 Carmignac Portfolio Tech Solutions\n", + "338 LU2809794733 Carmignac Portfolio Tech Solutions\n", + "339 FR0010149211 Carmignac Profil Réactif 100\n", + "340 FR0010148999 Carmignac Profil Réactif 75\n", + "341 LU2799473124 Carmignac S.A. SICAV - PART II UCI Private Eve...\n", + "342 LU2799473397 Carmignac S.A. SICAV - PART II UCI Private Eve...\n", + "343 FR0011269109 Carmignac Sécurité\n", + "344 FR0011269125 Carmignac Sécurité\n", + "345 FR0011269141 Carmignac Sécurité\n", + "346 FR0011269083 Carmignac Sécurité\n", + "347 FR0010149120 Carmignac Sécurité\n", + "348 FR0011269091 Carmignac Sécurité\n", + "349 LU1720511549 Credit Suisse Carmignac Emerging Markets Multi...\n", + "350 LU1720511895 Credit Suisse Carmignac Emerging Markets Multi...\n", + "351 LU1720513321 Credit Suisse Carmignac Emerging Markets Multi...\n", + "352 LU1720513677 Credit Suisse Carmignac Emerging Markets Multi...\n", + "353 LU1720515706 Credit Suisse Carmignac Emerging Markets Multi...\n", + "354 LU1720515615 Credit Suisse Carmignac Emerging Markets Multi...\n", + "355 GB00BJHPHX25 FP Carmignac Emerging Discovery\n", + "356 GB00BK1W2P36 FP Carmignac Emerging Markets\n", + "357 GB00BQXJRP97 FP Carmignac Emerging Markets\n", + "358 GB00BJHPHY32 FP Carmignac Emerging Patrimoine\n", + "359 GB00BJHPX895 FP Carmignac Emerging Patrimoine\n", + "360 GB00BNDQ7P95 FP Carmignac European Leaders\n", + "361 GB00BNDQ7N71 FP Carmignac European Leaders\n", + "362 GB00BJHPXB21 FP Carmignac European Leaders\n", + "363 GB00BJHPHZ49 FP Carmignac European Leaders\n", + "364 GB00BRBXQT75 FP Carmignac Global Bond\n", + "365 GB00BJHQ2K78 FP Carmignac Global Bond\n", + "366 GB00BJHPZ502 FP Carmignac Global Bond\n", + "367 GB00BJHQ2J63 FP Carmignac Global Bond\n", + "368 GB00BJHPJ035 FP Carmignac Global Bond\n", + "369 GB00BNDQ7Q03 FP Carmignac Global Equity Compounders\n", + "370 GB00BMGLBL82 FP Carmignac Global Equity Compounders\n", + "371 GB00BMGLBK75 FP Carmignac Global Equity Compounders\n", + "372 GB00BMF9P332 FP Carmignac Global Equity Compounders\n", + "373 GB00BK1W2N12 FP Carmignac Patrimoine\n", + "374 LU2251305400 Fonditalia Carmignac Active Allocation\n", + "375 LU2251305319 Fonditalia Carmignac Active Allocation\n", + "376 LU2251305236 Fonditalia Carmignac Active Allocation\n", + "377 LU2250732448 Fonditalia Carmignac Active Allocation\n", + "378 LU2250732281 Fonditalia Carmignac Active Allocation\n", + "379 LU2721495427 LUX IM - Carmignac Emerging Flexible Bond\n", + "380 LU2721494966 LUX IM - Carmignac Emerging Flexible Bond\n", + "381 LU2721495005 LUX IM - Carmignac Emerging Flexible Bond\n", + "382 LU2721495260 LUX IM - Carmignac Emerging Flexible Bond\n", + "383 LU3124376941 LUX IM - Carmignac Emerging Flexible Bond\n", + "384 MAPFRECG0001 Mapfre Carmignac F.P.\n", + "385 LU2544562502 Solys - Carmignac Equity Selection\n", + "386 FR0011365873 UFF Grande Europe 0-100" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Tableau unique Fund Name + ISIN, trié par ISIN puis par nom de fonds\n", + "pd.set_option(\"display.max_rows\", None)\n", + "pd.set_option(\"display.max_columns\", None)\n", + "\n", + "fund_isin_table = (\n", + " df_aum[[\"Product - Isin\", \"Product - Fund\"]]\n", + " .dropna(subset=[\"Product - Isin\",\"Product - Fund\"])\n", + " .drop_duplicates()\n", + " .sort_values([\"Product - Fund\"])\n", + " .reset_index(drop=True)\n", + ")\n", + "\n", + "print(f\"Nombre de couples uniques fund/isin : {fund_isin_table.shape[0]}\")\n", + "fund_isin_table" + ] + }, + { + "cell_type": "markdown", + "id": "b568bbc3-55ad-4dcb-bdb0-94e9a154575d", + "metadata": {}, + "source": [ + "---\n", + "## 3. Part 0 — Define Family Funds & Select top 15 funds\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "70c8591f-29aa-4d2f-94bb-d3a280cbe5bb", + "metadata": {}, + "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": 14, + "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": {}, + "source": [ + "---\n", + "## 3. Monthly Panel Construction\n", + "\n", + "A full outer join of AUM and flows at `(account, ISIN, month)` granularity, enriched with NAV returns and interest rate changes.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "25f3dce4", + "metadata": {}, + "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": 17, + "id": "0e95eaaa-3c49-44b9-b049-fee5ecba66ef", + "metadata": {}, + "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": 18, + "id": "3ab14e2d-4d0c-4598-af3b-78c10b162510", + "metadata": {}, + "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_m
518438088928LU00991619932021-07-01Carmignac Portfolio Grande Europe0.00.0EquityLuxembourgLuxembourg0.00.00.00.00.0NaNNaN00NaNNaN0.0-0.001
518438188928LU00991619932021-08-01Carmignac Portfolio Grande Europe0.00.0EquityLuxembourgLuxembourg0.00.00.00.00.0NaNNaN00NaNNaN0.0-0.003
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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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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
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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
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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": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#construction du panel mensuel 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) #groupesur 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": {}, + "source": [ + "---\n", + "## 4. Feature Engineering\n" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "b7fdb2fe-26ce-4881-903d-01fd6e473ac4", + "metadata": {}, + "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": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#On calcule : part du fund dans le portefeuille client\n", + "\n", + "df_client_total_month = ( #1 client tous les fonds\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( #on cree la nouv colonnes \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": "code", + "execution_count": 25, + "id": "d4a01bcc", + "metadata": {}, + "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
\n", + "
" + ], + "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": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#feature engineering temporel au niveau 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": "code", + "execution_count": 26, + "id": "965cd530-9985-4d57-938c-cef531459c39", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "df_family_client_base shape: (53891, 49)\n" + ] + }, + { + "data": { + "text/html": [ + "
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Registrar Account - IDfund_familyn_monthsn_active_monthsflow_freqfamily_aum_qty_meanfamily_aum_qty_medianfamily_aum_qty_maxfamily_aum_qty_lastfamily_aum_val_meanfamily_aum_val_lastnet_flow_qty_sumgross_flow_qty_sumgross_flow_qty_meansub_qty_sumred_qty_sumn_tx_totalavg_n_isin_heldmax_n_isin_heldnet_flow_qty_volflow_to_aum_meanflow_to_aum_volturnover_meanturnover_volsub_share_meanred_share_meanaum_drawdown_lastaum_drawdown_maxentry_countfull_exit_countbuy_on_perf_ratesell_on_perf_ratebuy_on_perf_mean3_ratesell_on_perf_mean3_ratebuy_on_perf_mean6_ratesell_on_perf_mean6_rateturnover_mean3_avgturnover_mean6_avgturnover_mean12_avgflow_to_aum_mean3_avgflow_to_aum_mean6_avgflow_to_aum_mean12_avgfamily_share_of_client_aum_meanfamily_share_of_client_aum_maxret_fund_m_meandelta_rate_m_meanregioncountrymonths_since_last_tx_family
0100000014Carmignac Portfolio Climate Transition8000.0000.0000000.00.0000.00.0000000.00.0000.0000.0000000.00.0000.00.000000.000000NaN0.000000NaN0.000000NaNNaNNaNNaN000.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaN0.001500-0.008925SwitzerlandSwitzerland0.0
1100000016Carmignac Emergents8000.0000.0000000.00.0000.00.0000000.00.0000.0000.0000000.00.0000.00.000000.000000NaN0.000000NaN0.000000NaNNaNNaNNaN000.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaN0.000520-0.008925United KingdomUnited Kingdom0.0
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
3100000028Carmignac Patrimoine8020.0259.5290130.0109.2350.01577.9527300.0-109.238109.2381.3654750.0-109.2383.00.1000110.559919-0.0213560.0604050.0213560.0604050.0-1.01.01.0110.00.00.00.00.00.00.0199330.0212470.021228-0.019933-0.021247-0.0212281.01.00.002345-0.008925United KingdomUnited Kingdom121.0
4100000038Carmignac Patrimoine8000.0000.0000000.00.0000.00.0000000.00.0000.0000.0000000.00.0000.00.000000.000000NaN0.000000NaN0.000000NaNNaNNaNNaN000.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaN0.003393-0.008925SwitzerlandSwitzerland0.0
5100000038Carmignac Portfolio Climate Transition8000.0000.0000000.00.0000.00.0000000.00.0000.0000.0000000.00.0000.00.000000.000000NaN0.000000NaN0.000000NaNNaNNaNNaN000.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaN0.001500-0.008925SwitzerlandSwitzerland0.0
6100000038Carmignac Portfolio Emerging Patrimoine5600.0000.0000000.00.0000.00.0000000.00.0000.0000.0000000.00.0000.00.000000.000000NaN0.000000NaN0.000000NaNNaNNaNNaN000.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaN0.005728-0.004304SwitzerlandSwitzerland0.0
7100000042Carmignac Portfolio Climate Transition8000.00057.7600630.0660.1150.05579.5362690.00.0000.0000.0000000.00.0000.00.087510.0000000.0000000.0000000.0000000.000000NaNNaN1.01.0110.00.00.00.00.00.00.0000000.0000000.0000000.0000000.0000000.0000001.01.00.001500-0.008925United KingdomUnited Kingdom0.0
8100000044Carmignac Portfolio Climate Transition8000.0000.0000000.00.0000.00.0000000.00.0000.0000.0000000.00.0000.00.000000.000000NaN0.000000NaN0.000000NaNNaNNaNNaN000.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaN0.001500-0.008925FranceFrance0.0
9100000047Carmignac 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
\n", + "
" + ], + "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": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#table finale de features au niveau client × famille\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", + ") #calcule, pour chaque couple : client*famille de fonds // combien de mois se sont écoulés depuis la dernière activité.\n", + "\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": {}, + "source": [ + "---\n", + "## 5. Part 1 — 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": 27, + "id": "9cabda05", + "metadata": {}, + "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": { + "text/html": [ + "
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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": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 28 - Table des top families\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": 28, + "id": "3be8b56b", + "metadata": {}, + "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": {}, + "source": [ + "---\n", + "## 6. Part 2 — Additional Performance Features for Family Clustering\n", + "We enrich the `client × family` dataset with two types of performance-sensitive variables computed from the monthly family panel:\n", + "\n", + "1. **Correlation between flow intensity and past family performance**, using rolling average returns over 3 and 6 months.\n", + "2. **Buy-after-good-performance shares**, i.e. the proportion of buy months occurring after positive rolling average returns.\n", + "\n", + "These variables extend the original notebook by explicitly measuring momentum-like behavior at fund-family level.\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "3ae47862", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Performance features merged. Shape: (53891, 53)\n" + ] + }, + { + "data": { + "text/html": [ + "
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" + ], + "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": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 30 - Additional performance features for family clustering\n", + "\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", + "\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": {}, + "source": [ + "---\n", + "## 7. Part 3 — Clustering Features\n", + "To stay close to the original global clustering notebook, we keep a compact set of core behavioral variables:\n", + "- activity frequency\n", + "- gross flow intensity relative to average AUM\n", + "- family concentration/importance\n", + "- exit behavior\n", + "- flow direction balance\n", + "- recency of activity\n", + "\n", + "We then add the new **performance-sensitive features** and the **rolling turnover averages**, which are central to the family-fund approach.\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "2d120f23", + "metadata": {}, + "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": [ + "# 31 - 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\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": {}, + "source": [ + "---\n", + "## 8. Part 4 — Robust Clustering Utilities\n", + "Compared with the first family notebook version, the functions below:\n", + "- apply **stronger filtering of outliers**\n", + "- winsorize a broader set of variables\n", + "- reject values of `K` that create **tiny clusters**\n", + "- therefore avoid the pathological case “one giant cluster + one or two clients alone”\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "8b43106b", + "metadata": {}, + "outputs": [], + "source": [ + "# 32 - 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 evaluate_k_range(X_scaled, k_min=2, k_max=6, min_cluster_size=10, min_cluster_share=0.02, random_state=42):\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", + " km = KMeans(n_clusters=k, random_state=random_state, n_init=20)\n", + " labels = km.fit_predict(X_scaled)\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:\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\": km.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\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "ceb97cfd", + "metadata": {}, + "outputs": [], + "source": [ + "# 33 - Family clustering pipeline\n", + "\n", + "def run_family_clustering(\n", + " df_base,\n", + " family_name,\n", + " features,\n", + " k_min=2,\n", + " k_max=6,\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}: 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", + " random_state=random_state\n", + " )\n", + "\n", + " if len(metrics_df) == 0:\n", + " print(f\"[SKIP] {family_name}: 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}: no valid K with cluster size constraints.\")\n", + " return None\n", + "\n", + " km = KMeans(n_clusters=best_k, random_state=random_state, n_init=30)\n", + " labels = km.fit_predict(X_scaled)\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", + " ) #moyenne des features par 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\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", + " \"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", + " # Choice of K\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} - 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} - 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} - Inertia\")\n", + " axes[2].set_xlabel(\"k\")\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + " # Cluster signatures\n", + " plot_heatmap(\n", + " df_family,\n", + " profile_vars=features,\n", + " cluster_col=\"cluster\",\n", + " title=f\"{family_name} - Cluster signatures\",\n", + " figsize=(18, 5)\n", + " )\n", + "\n", + " # PCA projection\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} - 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", + " # Cluster sizes\n", + " plt.figure(figsize=(6, 4))\n", + " sns.barplot(data=cluster_sizes, x=\"cluster\", y=\"n_clients\")\n", + " plt.title(f\"{family_name} - Cluster sizes\")\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + " # Churn by cluster\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} - Churn analysis by cluster\")\n", + " plt.ylabel(\"Rate\")\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + " print(f\"\\n=== {family_name} ===\")\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" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "b1161a03", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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8ON/x/nluzz1+7u9uUlKSpUWLFpZHH300T87vvPOOJSgoKM/76J/jZbHk/K7983fm4sWLli5dulieeOKJYo8PgBxcR+TgOoLriMIUdB1RGnGOHTvWEhQUZHnrrbfyxfDoo4/m+x24MrYrz8sFvV+++eabfO95OB6mc6ng0tLSJF39U7J/unJ+tNTUVCUnJ6tDhw6Kj49Xampqnrb16tVTt27dCuznjjvuyHNnanh4uCwWi/r375+nXXh4uE6cOKFLly4VGtPPP/+sVq1aqXnz5tZt1atXV9++fQts36RJE7Vr18762MfHR40aNVJ8fLx1m5ubm3WlbbPZrJSUFHl4eKhRo0bavXu3td13330nb29vRUVF5TtOUT5BjIuLU+fOndW5c2f16dNH8+fP1w033KDXXntNUt7xzsrKUkpKiurXry9PT888cVzL1V6Lgtx999154s99fe6++27rNpPJpNDQ0Dzjtn79eplMJt1///15+nv44YdlsVi0fv36ax574MCBeY7drl07mc1mJSQkSMr55PbcuXO69dZblZycbP0xGo1q2bJlvq9iXw8/Pz99/fXXGjRokM6dO6fPP/9czz33nDp37qxp06aVeCHRQYMG5Xncrl07nTlzxvo7uW7dOknSkCFD8rR7+OGH8zxfHGvWrFHbtm3l6emZZ9wiIiJkNpu1efPmkqRi7btatWrq0qVLnr5btGghDw8Pm74mQHnDuTYH59r8ONcWXe58o+fPn5dU9PfOTTfdJBcXF61atcq6bd++fTpw4ID69OlT6PH27Nmjw4cPq2/fvkpJSbHmf+HCBXXu3FmbN2+2ToXm6emp7du369SpUyXK7cUXX9SsWbM0a9Ys/fe//1XHjh31wgsv6LvvvrO2scVrfi2//vqrsrKyFBUVlee9ceUUEdfi4eGRZ95gNzc3hYWF5Xn/AigeriNycB2RH9cR11Yacd57773XFdOV75eLFy8qOTlZLVu2lKQSTwWHssF0LhVc1apVJV3+g6Qotm7dqvfff19//PFHvjmcU1NTVa1aNevjq309p06dOnke5+5Xu3btfNuzs7OVmpoqb2/vAvtKSEgocM7qwr6W9c9jSJKXl1eeuZuzs7M1d+5cffbZZzp27JjMZrP1uerVq1v//+jRo2rUqFGJV1uuW7euJkyYIIPBIDc3NzVs2FC+vr7W5zMyMjRjxgwtWbJEp06dylO0/ecF0NUU96tSxXl9rhy3hIQE1axZ0/reypX7NbXck1Vxju3p6SkpZz5vSTp8+LCkwv+o++exr2Q2m/PNgebl5XXVBVNq1qyp6Ohovfzyyzp8+LB++eUXffzxx5oyZYpq1qypAQMGXDOnfyosx7Nnz6pq1apKSEiQ0WjM9x6uUaOGPD09izSO/3TkyBHt3bvXOuf5PxU0N1xx+k5NTS2076SkpBL3DZR3nGsv41ybF+faortw4YKky0Wkor53fHx81KlTJ61evVpPP/20pJypXFxcXKxTlhUkN/+xY8cW2iY1NVVeXl4aPXq0xo0bpxtuuEEtWrRQjx49dOeddyogIEBSzu9+bvxSTkHDx8fH+jg8PDzPwqK33Xab7rzzTr3yyiu64YYb5ObmZpPX/FqOHz8uSWrYsGGe7T4+PvLy8ipSH/7+/vkKUl5eXtq7d+91xwfHsnnzZn3yySfauXOnEhMTrev4FIfFYtGnn36qL7/8UgkJCfL29tbgwYM1cuTIUoq6fOI64jKuI/LiOuLabB2ni4uL/P39ix3Hlc6cOaOpU6dq1apV+f5OLs77BWWPInoFV7VqVdWsWbPICzscPXpUDz30kAIDAzVu3DjVrl1brq6uWrdunWbPnm29IyfX1Vb1zv3EuKjbS3rHb0FMJtM123z44Yd677331L9/fz311FPy8vKS0WjUa6+9ZtNYPDw8FBERUejzr776qnX+zVatWqlatWoyGAx65plnihVHcVdYL+7rY0vXeg/k/vfNN99UjRo18rW72ut74sQJ3XjjjXm2zZ07Vx07drxmXAaDQY0aNVKjRo10ww036F//+peWL19eoiJ6Ud/n1zMf2pUXkVLORWaXLl00bNiwAtv/84/m4sjOzpavr6/eeuutAp+/slgAVDScawvHuZZzbVHt379fvr6+1j9mi/PeufXWW/X8889rz549at68uVavXq1OnTpd9dyU28eYMWPy3DV5pdy74/v06aN27drp+++/14YNG/TJJ5/o448/1vvvv68ePXro008/zbO4ad26dfXjjz8Wemyj0aiOHTtq7ty5OnLkiHXu36Io7Lrhn9cEpaUov/dwDhcuXFBwcLD69+9/1Xmwr2bixIn65ZdfNGbMGAUFBens2bMsSF8AriMKx3UE1xFlHeeV334oqaefflrbtm3T0KFD1bx5c3l4eCg7O1vDhg2z6fsWtkcRHerZs6e++OILbdu2Ta1bt75q2x9//FGZmZmaPn16nk/07D1VQ926dXXkyJF820uy0naub7/9Vh07drR+RSvXuXPn8ny6Xr9+fW3fvl1ZWVmlsnDit99+qzvvvDPPitgXL17M9wmloyw+UbduXcXExCgtLS3Pp7ZxcXHW569X7p1dvr6+V72YKUiNGjU0a9asPNuaNWtWohg8PT2VmJhY7H2Lom7dusrOztaRI0fyLDZz+vRpnTt3Ls84enl5WT9Jz5WZmZkvtvr16+vChQvXHLOrvZcKe65+/fqKiYlRmzZtin3xB1QEnGsLxrm2ZCrKuTbXtm3bdPTo0TwLbRb1vSNJvXr10osvvmid0uXw4cMaPnz4VY+Zm3/VqlWLlH/NmjV133336b777lNSUpLuuusuffjhh9a70tu2bWttW6lSpWv2l1v0zr2Dvaivee4d4/+8Lsi9y/xqcv+9OXz4sDV/KeebahQ28U+5i88WJjMzU++++66++eYbpaamqmnTpho9erS1CHbw4EEtXLhQK1assC6weOX7DnlxHVEwriNKpqJdR1zN9cR5paK+tmfPnlVMTIyeeOKJPB9A5t4RD8fGnOjQsGHD5OHhoRdeeEGnT5/O9/zRo0c1Z84cSZc/hfvn15MWL15cNsEWomvXrvrjjz+0Z88e67YzZ85oxYoVJe7TZDLl+xRw9erV+ea7/Ne//qWUlBQtWLAgXx+2+BSxoE9o582bl++OosqVK0uy/9d/unfvLrPZnG88Zs+eLYPBoO7du1/3Mbp166aqVatqxowZysrKyvf81aYlqVSpkiIiIvL8XO0rytu3b8/zFexcO3bs0JkzZ665YnpJ5f5Rkvu7lyv3YuLKP1oCAgK0ZcuWPO2+/PLLfO+RW265Rdu2bdPPP/+c73jnzp2zzmGY+1765x/gV3vulltukdls1gcffJBvn0uXLhXYF1CRcK4tGOfaknG2c+3VJCQkaNy4cXJ1ddXQoUOt24v63pFyvrrdtWtXrV69WitXrpSrq+s1p50IDQ1V/fr19emnnxY4hUJu/mazOd/7wdfXVzVr1lRmZqaknPP0lWNxZUG9IFlZWdqwYYNcXV2tH6QX9TWvWrWqvL29810XfPbZZ1c9piRFRETI1dVV8+fPzzO2/7wWAYrilVde0bZt2/Tuu+9q+fLl6t27t4YNG2YtFP3444+qV6+e1q5dq8jISEVGRmr8+PE6c+aMXeN2VFxHFIzriJKpSNcRpRnnlSpXrlyk17WwO/A515YP3IkO1a9fX2+99ZaeeeYZ9enTR3fccYeCgoKUmZmpbdu2ac2aNerXr58kqUuXLnJ1ddWIESM0aNAgnT9/Xl999ZV8fX1L7Y7cohg2bJiWL1+uIUOGKCoqSh4eHvrqq69Uu3ZtnTlzpkSf+N5www2aNm2ann/+ebVu3Vr79u3TihUr8t0hceedd2rZsmWaNGmSduzYobZt2yo9PV0xMTG69957iz03YEFxfP3116pataqaNGmiP/74Q7/++mueOd4kqXnz5jKZTPr444+VmpoqNzc3derUKc9cbWUhMjJSHTt21LvvvquEhAQFBwdrw4YN+t///qcHH3yw0DnviqNq1ap6+eWXNWbMGPXr1099+vSRj4+Pjh8/rnXr1qlNmzZ68cUXbZCN9PXXX2vFihXq1auXQkND5erqqoMHD2rx4sWqVKmSRowYYZPj/FOzZs1011136YsvvtC5c+fUvn17xcbGaunSperVq5c6depkbTtgwAC99NJLeuKJJxQREaE///xTv/zyS7478YYOHaoff/xRI0aM0F133aUWLVooPT1d+/bt07fffqv//e9/8vHxkbu7u5o0aaLVq1erYcOGql69upo2baqgoCC1aNFCkjRhwgR17dpVJpNJt956qzp06KB77rlHM2bM0J49e6z/Vhw+fFhr1qzR+PHj1bt371IZK6A84FxbMM61JeNs59pcu3fv1tdffy2LxaJz584pNjZW3333nQwGg9588808d6EV9b2Tq0+fPvr3v/+tzz77TF27drXOiVoYo9GoCRMm6JFHHtFtt92mfv36qVatWjp16pQ2bdqkqlWr6sMPP9T58+fVo0cP3XzzzWrWrJk8PDz066+/KjY2Ns8diVezfv16691/ycnJWrFihQ4fPqxHH33UeodgcV7zAQMG6KOPPtL48eMVGhqqLVu26NChQ9eMw8fHRw8//LBmzJih4cOHq0ePHtq9e7fWr19f6BzHQEGOHz+uJUuW6KefflKtWrUk5VyH/vzzz1qyZImeffZZxcfH6/jx41qzZo3efPNNmc1mTZo0SU8++aTmzp1r5wwcD9cRBeM6omSc9TrCnnG2aNFCq1at0qRJkxQWFiYPDw9FRkYWeLz27dtr5syZysrKUq1atbRhwwYdO3asNNKDjVFEhyTpxhtv1PLly/XJJ5/of//7nxYuXCg3NzcFBwdr3LhxGjhwoCQpMDBQU6ZM0eTJk/XGG2/Iz89P9957r3x8fPSf//zHbvHXrl1bc+fO1YQJEzRjxgz5+PjovvvuU+XKlTVhwoQifW32n0a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", 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", 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zggUAAAAAmxEsAAAAANiMYAEAAADAZgQLAAAAADYjWAAAAACwGcECAAAAgM0IFgAAAABsRrAAAAAAYLP/A6R783HhjqIHAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "=== Carmignac Patrimoine ===\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": [ + "# 34 - Test on one family\n", + "\n", + "test_family = top_15_families[0]\n", + "result_test = run_family_clustering(\n", + " df_base=df_family_client_base,\n", + " family_name=test_family,\n", + " features=family_cluster_features,\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", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "e339c5fb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Patrimoine\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Sécurité\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Investissement\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Credit \n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Portfolio Sécurité\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Portfolio Flexible Bond\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Portfolio Credit\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Emergents\n", + "==========================================================================================\n", + "[SKIP] Carmignac Emergents: no valid K with cluster size constraints.\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Court Terme\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Portfolio Long-Short European Equities\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Portfolio Grande Europe\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Portfolio Emergents\n", + "==========================================================================================\n", + "[SKIP] Carmignac Portfolio Emergents: no valid K with cluster size constraints.\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Portfolio Global Bond\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Portfolio Patrimoine\n", + "==========================================================================================\n", + "\n", + "==========================================================================================\n", + "Running clustering for family: Carmignac Portfolio Emerging Patrimoine\n", + "==========================================================================================\n" + ] + }, + { + "data": { + "text/html": [ + "
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fund_familyn_clientsbest_ksilhouettedavies_bouldinmin_cluster_size
0Carmignac Patrimoine305840.8829160.44355185
1Carmignac Investissement212640.8722480.45095974
2Carmignac Portfolio Grande Europe134440.8638740.46676140
3Carmignac Portfolio Emerging Patrimoine109950.7765360.69065426
4Carmignac Portfolio Long-Short European Equities58640.7170910.63582628
5Carmignac Court Terme50740.7142380.69059617
6Carmignac Sécurité157340.6973580.77629886
7Carmignac Portfolio Flexible Bond105340.6754070.80157840
8Carmignac Credit <NUM>37040.5350350.99816423
9Carmignac Portfolio Global Bond166440.5328770.68060470
10Carmignac Portfolio Sécurité112540.4514120.93567846
11Carmignac Portfolio Credit98440.3664761.02423648
12Carmignac Portfolio Patrimoine110750.2964631.06849029
\n", + "
" + ], + "text/plain": [ + " fund_family n_clients best_k \\\n", + "0 Carmignac Patrimoine 3058 4 \n", + "1 Carmignac Investissement 2126 4 \n", + "2 Carmignac Portfolio Grande Europe 1344 4 \n", + "3 Carmignac Portfolio Emerging Patrimoine 1099 5 \n", + "4 Carmignac Portfolio Long-Short European Equities 586 4 \n", + "5 Carmignac Court Terme 507 4 \n", + "6 Carmignac Sécurité 1573 4 \n", + "7 Carmignac Portfolio Flexible Bond 1053 4 \n", + "8 Carmignac Credit 370 4 \n", + "9 Carmignac Portfolio Global Bond 1664 4 \n", + "10 Carmignac Portfolio Sécurité 1125 4 \n", + "11 Carmignac Portfolio Credit 984 4 \n", + "12 Carmignac Portfolio Patrimoine 1107 5 \n", + "\n", + " silhouette davies_bouldin min_cluster_size \n", + "0 0.882916 0.443551 85 \n", + "1 0.872248 0.450959 74 \n", + "2 0.863874 0.466761 40 \n", + "3 0.776536 0.690654 26 \n", + "4 0.717091 0.635826 28 \n", + "5 0.714238 0.690596 17 \n", + "6 0.697358 0.776298 86 \n", + "7 0.675407 0.801578 40 \n", + "8 0.535035 0.998164 23 \n", + "9 0.532877 0.680604 70 \n", + "10 0.451412 0.935678 46 \n", + "11 0.366476 1.024236 48 \n", + "12 0.296463 1.068490 29 " + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 35 - Run clustering on the top 15 fund families\n", + "\n", + "family_results = {}\n", + "family_summary_rows = []\n", + "\n", + "for fam in top_15_families:\n", + " print(\"\\n\" + \"=\" * 90)\n", + " print(f\"Running 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", + " 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[fam] = res\n", + " best_row = res[\"metrics_df\"].loc[res[\"metrics_df\"][\"k\"] == res[\"best_k\"]].iloc[0]\n", + "\n", + " family_summary_rows.append({\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 = pd.DataFrame(family_summary_rows).sort_values(\n", + " [\"silhouette\", \"n_clients\"],\n", + " ascending=[False, False]\n", + ").reset_index(drop=True)\n", + "\n", + "family_summary" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "f5c7e517", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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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 ===\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": [ + "# 36 - Visual and business review for one selected family\n", + "\n", + "selected_family = top_15_families[0]\n", + "if selected_family in family_results:\n", + " _ = run_family_clustering(\n", + " df_base=df_family_client_base,\n", + " family_name=selected_family,\n", + " features=family_cluster_features,\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", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "4ba643a5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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fund_familyn_clientsbest_ksilhouettedavies_bouldinmin_cluster_size
0Carmignac Patrimoine305840.8829160.44355185
1Carmignac Investissement212640.8722480.45095974
2Carmignac Portfolio Grande Europe134440.8638740.46676140
3Carmignac Portfolio Emerging Patrimoine109950.7765360.69065426
4Carmignac Portfolio Long-Short European Equities58640.7170910.63582628
5Carmignac Court Terme50740.7142380.69059617
6Carmignac Sécurité157340.6973580.77629886
7Carmignac Portfolio Flexible Bond105340.6754070.80157840
8Carmignac Credit <NUM>37040.5350350.99816423
9Carmignac Portfolio Global Bond166440.5328770.68060470
10Carmignac Portfolio Sécurité112540.4514120.93567846
11Carmignac Portfolio Credit98440.3664761.02423648
12Carmignac Portfolio Patrimoine110750.2964631.06849029
\n", + "
" + ], + "text/plain": [ + " fund_family n_clients best_k \\\n", + "0 Carmignac Patrimoine 3058 4 \n", + "1 Carmignac Investissement 2126 4 \n", + "2 Carmignac Portfolio Grande Europe 1344 4 \n", + "3 Carmignac Portfolio Emerging Patrimoine 1099 5 \n", + "4 Carmignac Portfolio Long-Short European Equities 586 4 \n", + "5 Carmignac Court Terme 507 4 \n", + "6 Carmignac Sécurité 1573 4 \n", + "7 Carmignac Portfolio Flexible Bond 1053 4 \n", + "8 Carmignac Credit 370 4 \n", + "9 Carmignac Portfolio Global Bond 1664 4 \n", + "10 Carmignac Portfolio Sécurité 1125 4 \n", + "11 Carmignac Portfolio Credit 984 4 \n", + "12 Carmignac Portfolio Patrimoine 1107 5 \n", + "\n", + " silhouette davies_bouldin min_cluster_size \n", + "0 0.882916 0.443551 85 \n", + "1 0.872248 0.450959 74 \n", + "2 0.863874 0.466761 40 \n", + "3 0.776536 0.690654 26 \n", + "4 0.717091 0.635826 28 \n", + "5 0.714238 0.690596 17 \n", + "6 0.697358 0.776298 86 \n", + "7 0.675407 0.801578 40 \n", + "8 0.535035 0.998164 23 \n", + "9 0.532877 0.680604 70 \n", + "10 0.451412 0.935678 46 \n", + "11 0.366476 1.024236 48 \n", + "12 0.296463 1.068490 29 " + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 37 - Summary table of clustering results across families\n", + "family_summary" + ] + } + ], + "metadata": { + "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 +}