{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "338730e2-a6de-4d4f-b438-efe3feb139ab",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import plotly.graph_objects as go"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "cfd11919-0941-400e-a516-72871881f733",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_3828/1940519970.py:1: DtypeWarning: Columns (1,2,3,4) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" stocks=pd.read_csv('stocks.csv')\n",
"/tmp/ipykernel_3828/1940519970.py:2: DtypeWarning: Columns (1,2,3,4) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" flows = pd.read_csv('flows.csv')\n"
]
}
],
"source": [
"stocks=pd.read_csv('stocks.csv')\n",
"flows = pd.read_csv('flows.csv')"
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "b99e3402-fe26-4f4e-8c1c-5f07847bce94",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_3828/3613746644.py:1: DtypeWarning:\n",
"\n",
"Columns (1) have mixed types. Specify dtype option on import or set low_memory=False.\n",
"\n"
]
}
],
"source": [
"merged = pd.read_csv('merged.csv')"
]
},
{
"cell_type": "code",
"execution_count": 71,
"id": "34e5a815-7269-4312-bfe6-e2cd12595e57",
"metadata": {},
"outputs": [
{
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" Registrar Account - ID Product - Isin n_ruptures obs rupture_ratio \\\n",
"59545 200127410 FR0010135103 434 436 0.995413 \n",
"59547 200127410 FR0010148981 317 319 0.993730 \n",
"79698 PRIVATE CLIENT LU0992630599 154 155 0.993548 \n",
"14438 366441 FR0010148981 142 143 0.993007 \n",
"14436 366441 FR0010135103 142 143 0.993007 \n",
"7476 365143 LU0099161993 129 130 0.992308 \n",
"7139 365096 FR0010148981 129 130 0.992308 \n",
"39691 420259 FR0010149120 129 130 0.992308 \n",
"39688 420259 FR0010135103 129 130 0.992308 \n",
"39697 420259 FR0010306142 129 130 0.992308 \n",
"38491 419717 FR0010135103 129 130 0.992308 \n",
"37166 419097 FR0010312660 129 130 0.992308 \n",
"2492 312933 FR0010312660 129 130 0.992308 \n",
"2491 312933 FR0010306142 129 130 0.992308 \n",
"2490 312933 FR0010149302 129 130 0.992308 \n",
"2487 312933 FR0010149203 129 130 0.992308 \n",
"2484 312933 FR0010149120 129 130 0.992308 \n",
"9505 365452 FR0011269182 129 130 0.992308 \n",
"2524 312933 LU0099161993 129 130 0.992308 \n",
"2540 312933 LU0807690911 129 130 0.992308 \n",
"\n",
" max_gap \n",
"59545 295985.420 \n",
"59547 67134.706 \n",
"79698 529752.634 \n",
"14438 86246.897 \n",
"14436 439262.588 \n",
"7476 10655.422 \n",
"7139 962.783 \n",
"39691 50336.226 \n",
"39688 17170.593 \n",
"39697 16087.801 \n",
"38491 1421.255 \n",
"37166 1354.356 \n",
"2492 686.223 \n",
"2491 65668.045 \n",
"2490 964.557 \n",
"2487 2037.774 \n",
"2484 2156.823 \n",
"9505 153.588 \n",
"2524 1754.657 \n",
"2540 3049.651 "
]
},
"execution_count": 71,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"\n",
"# 1. Prepare stock dataset ISIN-by-ISIN\n",
"stocks_isin = stocks[[\n",
" \"Registrar Account - ID\",\n",
" \"Product - Isin\",\n",
" \"Centralisation Date\",\n",
" \"Quantity - AUM\"\n",
"]].copy()\n",
"\n",
"stocks_isin[\"Centralisation Date\"] = pd.to_datetime(stocks_isin[\"Centralisation Date\"])\n",
"\n",
"stocks_isin = stocks_isin.sort_values(\n",
" [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"]\n",
")\n",
"\n",
"# 2. Prepare flows dataset ISIN-by-ISIN\n",
"flows_isin = flows[[\n",
" \"Registrar Account - ID\",\n",
" \"Product - Isin\",\n",
" \"Centralisation Date\",\n",
" \"Quantity - NetFlows\"\n",
"]].copy()\n",
"\n",
"flows_isin[\"Centralisation Date\"] = pd.to_datetime(flows_isin[\"Centralisation Date\"])\n",
"\n",
"flows_isin = (\n",
" flows_isin\n",
" .groupby(\n",
" [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"]\n",
" )[\"Quantity - NetFlows\"]\n",
" .sum()\n",
" .reset_index()\n",
")\n",
"\n",
"# 3. Merge stocks & flows ISIN-by-ISIN\n",
"merged_isin = stocks_isin.merge(\n",
" flows_isin,\n",
" on=[\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"],\n",
" how=\"left\"\n",
")\n",
"\n",
"merged_isin[\"Quantity - NetFlows\"] = merged_isin[\"Quantity - NetFlows\"].fillna(0)\n",
"\n",
"# 4. Compute expected stock per ISIN for each account\n",
"merged_isin[\"prev_stock\"] = (\n",
" merged_isin\n",
" .groupby([\"Registrar Account - ID\", \"Product - Isin\"])[\"Quantity - AUM\"]\n",
" .shift(1)\n",
")\n",
"\n",
"merged_isin[\"prev_netflows\"] = (\n",
" merged_isin\n",
" .groupby([\"Registrar Account - ID\", \"Product - Isin\"])[\"Quantity - NetFlows\"]\n",
" .shift(1)\n",
" .fillna(0)\n",
")\n",
"\n",
"merged_isin[\"expected_stock\"] = (\n",
" merged_isin[\"prev_stock\"] + merged_isin[\"prev_netflows\"]\n",
")\n",
"\n",
"# 5. Detect ruptures ISIN-by-ISIN (no aggregation)\n",
"TOL = 1e-6\n",
"\n",
"merged_isin[\"gap\"] = (\n",
" merged_isin[\"Quantity - AUM\"] - merged_isin[\"expected_stock\"]\n",
")\n",
"\n",
"merged_isin[\"rupture_flag\"] = (\n",
" merged_isin[\"prev_stock\"].notna()\n",
" & (merged_isin[\"gap\"].abs() > TOL)\n",
")\n",
"\n",
"# 6. Summarize ruptures per (Account, ISIN)\n",
"rupture_isin_summary = (\n",
" merged_isin\n",
" .groupby([\"Registrar Account - ID\", \"Product - Isin\"])\n",
" .agg(\n",
" n_ruptures=(\"rupture_flag\", \"sum\"),\n",
" obs=(\"rupture_flag\", \"count\"),\n",
" rupture_ratio=(\"rupture_flag\", \"mean\"),\n",
" max_gap=(\"gap\", lambda x: x.abs().max())\n",
" )\n",
" .reset_index()\n",
")\n",
"\n",
"# Sort by worst ISIN trajectories\n",
"rupture_isin_summary = rupture_isin_summary.sort_values(\n",
" \"rupture_ratio\",\n",
" ascending=False\n",
")"
]
},
{
"cell_type": "markdown",
"id": "16213cb2-07d8-4e82-b9bb-252554ec47b9",
"metadata": {},
"source": [
"# Détection des ruptures"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "78c3db70-e0b6-4de2-92ca-e29cf5bf6bd1",
"metadata": {},
"outputs": [],
"source": [
"# ============================================================\n",
"# AUM–FLOW CONSISTENCY & RUPTURE DETECTION (FINAL VERSION)\n",
"# ============================================================\n",
"# ------------------------------------------------------------\n",
"# 1. Keep relevant columns\n",
"# ------------------------------------------------------------\n",
"stocks_clean = stocks[[\n",
" \"Registrar Account - ID\",\n",
" \"Product - Isin\",\n",
" \"Centralisation Date\",\n",
" \"Quantity - AUM\"\n",
"]].copy()\n",
"\n",
"flows_clean = flows[[\n",
" \"Registrar Account - ID\",\n",
" \"Product - Isin\",\n",
" \"Centralisation Date\",\n",
" \"Quantity - NetFlows\"\n",
"]].copy()\n",
"\n",
"\n",
"# ------------------------------------------------------------\n",
"# 2. Date formatting\n",
"# ------------------------------------------------------------\n",
"stocks_clean[\"Centralisation Date\"] = pd.to_datetime(stocks_clean[\"Centralisation Date\"])\n",
"flows_clean[\"Centralisation Date\"] = pd.to_datetime(flows_clean[\"Centralisation Date\"])\n",
"\n",
"\n",
"# ------------------------------------------------------------\n",
"# 3. Aggregate flows per day\n",
"# ------------------------------------------------------------\n",
"flows_clean = (\n",
" flows_clean\n",
" .groupby(\n",
" [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"],\n",
" as_index=False\n",
" )[\"Quantity - NetFlows\"]\n",
" .sum()\n",
")\n",
"\n",
"# ------------------------------------------------------------\n",
"# 4. Merge stocks and flows\n",
"# ------------------------------------------------------------\n",
"df = stocks_clean.merge(\n",
" flows_clean,\n",
" on=[\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"],\n",
" how=\"left\"\n",
")\n",
"\n",
"df[\"Quantity - NetFlows\"] = df[\"Quantity - NetFlows\"].fillna(0)\n",
"\n",
"\n",
"# ------------------------------------------------------------\n",
"# 5. Sort and compute expected stock\n",
"# ------------------------------------------------------------\n",
"df = df.sort_values(\n",
" [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"]\n",
")\n",
"\n",
"df[\"prev_stock\"] = df.groupby(\n",
" [\"Registrar Account - ID\", \"Product - Isin\"]\n",
")[\"Quantity - AUM\"].shift(1)\n",
"\n",
"df[\"prev_flows\"] = df.groupby(\n",
" [\"Registrar Account - ID\", \"Product - Isin\"]\n",
")[\"Quantity - NetFlows\"].shift(1).fillna(0)\n",
"\n",
"df[\"expected_stock\"] = df[\"prev_stock\"] + df[\"prev_flows\"]\n",
"\n",
"\n",
"# ------------------------------------------------------------\n",
"# 6. Compute gaps\n",
"# ------------------------------------------------------------\n",
"df[\"gap\"] = df[\"Quantity - AUM\"] - df[\"expected_stock\"]\n",
"df[\"gap_abs\"] = df[\"gap\"].abs()\n",
"df[\"gap_rel\"] = df[\"gap_abs\"] / df[\"expected_stock\"].abs().clip(lower=1)\n",
"\n",
"\n",
"# ------------------------------------------------------------\n",
"# 7. Detect ruptures (economic rule)\n",
"# ------------------------------------------------------------\n",
"TAU_ABS = 10.0 # minimum absolute gap (shares)\n",
"TAU_REL = 0.005 # minimum relative gap (0.5%)\n",
"\n",
"df[\"rupture_flag\"] = (\n",
" df[\"prev_stock\"].notna()\n",
" & (df[\"gap_abs\"] > TAU_ABS)\n",
" & (df[\"gap_rel\"] > TAU_REL)\n",
")\n",
"\n",
"\n",
"# ------------------------------------------------------------\n",
"# 8. Remove end-of-sample false positives (edge effects)\n",
"# ------------------------------------------------------------\n",
"last_date = df[\"Centralisation Date\"].max()\n",
"\n",
"df[\"rupture_flag\"] = np.where(\n",
" (df[\"rupture_flag\"]) & (df[\"Centralisation Date\"] == last_date),\n",
" False,\n",
" df[\"rupture_flag\"]\n",
")\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "a9783dc1-e225-4142-8b6f-6f9e620b4b3d",
"metadata": {},
"outputs": [],
"source": [
"# ------------------------------------------------------------\n",
"# 9. ISIN-level summary (AFTER CLEANING)\n",
"# ------------------------------------------------------------\n",
"rupture_isin_summary = (\n",
" df.groupby([\"Registrar Account - ID\", \"Product - Isin\"])\n",
" .agg(\n",
" n_ruptures=(\"rupture_flag\", \"sum\"),\n",
" total_obs=(\"rupture_flag\", \"count\"),\n",
" rupture_ratio=(\"rupture_flag\", \"mean\"),\n",
" max_gap=(\"gap_abs\", \"max\")\n",
" )\n",
" .reset_index()\n",
")\n",
"\n",
"\n",
"# ------------------------------------------------------------\n",
"# 10. Account-level summary (AFTER CLEANING)\n",
"# ------------------------------------------------------------\n",
"rupture_summary = (\n",
" df.groupby(\"Registrar Account - ID\")\n",
" .agg(\n",
" n_ruptures=(\"rupture_flag\", \"sum\"),\n",
" total_obs=(\"rupture_flag\", \"count\"),\n",
" rupture_ratio=(\"rupture_flag\", \"mean\"),\n",
" max_gap=(\"gap_abs\", \"max\")\n",
" )\n",
" .reset_index()\n",
")\n",
"\n",
"\n",
"# ------------------------------------------------------------\n",
"# 11. Outputs\n",
"# ------------------------------------------------------------\n",
"df.to_csv(\"aum_flow_gaps.csv\", index=False)\n",
"rupture_isin_summary.to_csv(\"rupture_isin_summary.csv\", index=False)\n",
"rupture_summary.to_csv(\"rupture_summary.csv\", index=False)"
]
},
{
"cell_type": "code",
"execution_count": 75,
"id": "f5b62558-c27a-4428-a193-8b97e0ce6b6a",
"metadata": {},
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"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Base\n",
"rs = rupture_summary.copy()\n",
"\n",
"# Classes simplifiées\n",
"bins = [0, 0.01, 0.10, 0.30, 1.01]\n",
"labels = [\n",
" \"Clean / quasi-clean (≤1%)\",\n",
" \"Moderate (1–10%)\",\n",
" \"High (10–30%)\",\n",
" \"Severe (>30%)\"\n",
"]\n",
"\n",
"rs[\"rupture_class\"] = pd.cut(\n",
" rs[\"rupture_ratio\"],\n",
" bins=bins,\n",
" labels=labels,\n",
" include_lowest=True\n",
")\n",
"\n",
"# Distribution en %\n",
"dist = (\n",
" rs[\"rupture_class\"]\n",
" .value_counts(normalize=True)\n",
" .sort_index()\n",
" * 100\n",
").round(1)\n",
"\n",
"# Donut chart\n",
"fig = go.Figure(\n",
" data=[go.Pie(\n",
" labels=dist.index,\n",
" values=dist.values,\n",
" hole=0.45,\n",
" textinfo=\"percent\",\n",
" hoverinfo=\"label+percent\"\n",
" )]\n",
")\n",
"\n",
"fig.update_layout(\n",
" legend=dict(\n",
" orientation=\"h\", # horizontale\n",
" yanchor=\"top\",\n",
" y=-0.15, # en dessous du graphe\n",
" xanchor=\"center\",\n",
" x=0.5\n",
" ),\n",
" legend_title_text=\"Rupture ratio\"\n",
")\n",
"\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"id": "e52cd650-df05-490d-af59-e66c058f955d",
"metadata": {},
"source": [
"## AUM–FLOW CONSISTENCY & DISCONTINUITY DETECTION"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "a7efe494-f5fa-43f8-8446-942fc2d3bd4c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Detection threshold epsilon (trimmed 99th percentile): 40.03%\n"
]
}
],
"source": [
"# ------------------------------------------------------------\n",
"# 1. Keep relevant columns\n",
"# ------------------------------------------------------------\n",
"stocks_clean = stocks[\n",
" [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\", \"Quantity - AUM\"]\n",
"].copy()\n",
"\n",
"flows_clean = flows[\n",
" [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\", \"Quantity - NetFlows\"]\n",
"].copy()\n",
"\n",
"# ------------------------------------------------------------\n",
"# 2. Date formatting\n",
"# ------------------------------------------------------------\n",
"stocks_clean[\"Centralisation Date\"] = pd.to_datetime(stocks_clean[\"Centralisation Date\"])\n",
"flows_clean[\"Centralisation Date\"] = pd.to_datetime(flows_clean[\"Centralisation Date\"])\n",
"\n",
"# ------------------------------------------------------------\n",
"# 3. Aggregate flows per day\n",
"# ------------------------------------------------------------\n",
"flows_clean = (\n",
" flows_clean\n",
" .groupby(\n",
" [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"],\n",
" as_index=False\n",
" )[\"Quantity - NetFlows\"]\n",
" .sum()\n",
")\n",
"\n",
"# ------------------------------------------------------------\n",
"# 4. Merge stocks and flows\n",
"# ------------------------------------------------------------\n",
"df = stocks_clean.merge(\n",
" flows_clean,\n",
" on=[\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"],\n",
" how=\"left\"\n",
")\n",
"\n",
"df[\"Quantity - NetFlows\"] = df[\"Quantity - NetFlows\"].fillna(0)\n",
"\n",
"# ------------------------------------------------------------\n",
"# 5. Sort and reconstruct expected stock\n",
"# ------------------------------------------------------------\n",
"df = df.sort_values(\n",
" [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"]\n",
")\n",
"\n",
"df[\"prev_stock\"] = (\n",
" df.groupby([\"Registrar Account - ID\", \"Product - Isin\"])\n",
" [\"Quantity - AUM\"]\n",
" .shift(1)\n",
")\n",
"\n",
"df[\"prev_flows\"] = (\n",
" df.groupby([\"Registrar Account - ID\", \"Product - Isin\"])\n",
" [\"Quantity - NetFlows\"]\n",
" .shift(1)\n",
" .fillna(0)\n",
")\n",
"\n",
"df[\"expected_stock\"] = df[\"prev_stock\"] + df[\"prev_flows\"]\n",
"\n",
"# ------------------------------------------------------------\n",
"# 6. Compute accounting gaps\n",
"# ------------------------------------------------------------\n",
"df[\"gap\"] = df[\"Quantity - AUM\"] - df[\"expected_stock\"]\n",
"df[\"gap_abs\"] = df[\"gap\"].abs()\n",
"\n",
"# Relative gap normalised by previous stock\n",
"df[\"gap_rel\"] = (\n",
" df[\"gap_abs\"] /\n",
" df[\"prev_stock\"].abs().replace(0, np.nan)\n",
")\n",
"\n",
"# ------------------------------------------------------------\n",
"# 7. Calibration sample (valid regime)\n",
"# ------------------------------------------------------------\n",
"valid_gaps = df.loc[\n",
" df[\"gap_rel\"].notna() & (df[\"prev_stock\"] > 0),\n",
" \"gap_rel\"\n",
"]\n",
"\n",
"# ------------------------------------------------------------\n",
"# 8. Robust, data-driven threshold (epsilon)\n",
"# ------------------------------------------------------------\n",
"# Step 1 — trim extreme breaks to avoid calibrating on resets\n",
"gap_rel_trimmed = valid_gaps[\n",
" valid_gaps <= valid_gaps.quantile(0.90)\n",
"]\n",
"\n",
"# Step 2 — define epsilon on the upper tail of the trimmed distribution\n",
"EPSILON = gap_rel_trimmed.quantile(0.99)\n",
"\n",
"# ------------------------------------------------------------\n",
"# 9. Detect discontinuities (diagnostic rule)\n",
"# ------------------------------------------------------------\n",
"df[\"rupture_flag\"] = (\n",
" df[\"prev_stock\"].notna()\n",
" & (df[\"prev_stock\"] > 0)\n",
" & (df[\"gap_rel\"] > EPSILON)\n",
")\n",
"\n",
"# ------------------------------------------------------------\n",
"# 10. Remove end-of-sample edge effects\n",
"# ------------------------------------------------------------\n",
"last_date = df[\"Centralisation Date\"].max()\n",
"\n",
"df.loc[\n",
" (df[\"rupture_flag\"]) &\n",
" (df[\"Centralisation Date\"] == last_date),\n",
" \"rupture_flag\"\n",
"] = False\n",
"\n",
"# ------------------------------------------------------------\n",
"# 11. ISIN-level summary\n",
"# ------------------------------------------------------------\n",
"rupture_isin_summary = (\n",
" df.groupby([\"Registrar Account - ID\", \"Product - Isin\"])\n",
" .agg(\n",
" n_ruptures=(\"rupture_flag\", \"sum\"),\n",
" total_obs=(\"rupture_flag\", \"count\"),\n",
" rupture_ratio=(\"rupture_flag\", \"mean\"),\n",
" max_gap_abs=(\"gap_abs\", \"max\"),\n",
" max_gap_rel=(\"gap_rel\", \"max\")\n",
" )\n",
" .reset_index()\n",
")\n",
"\n",
"# ------------------------------------------------------------\n",
"# 12. Account-level summary\n",
"# ------------------------------------------------------------\n",
"rupture_summary = (\n",
" df.groupby(\"Registrar Account - ID\")\n",
" .agg(\n",
" n_ruptures=(\"rupture_flag\", \"sum\"),\n",
" total_obs=(\"rupture_flag\", \"count\"),\n",
" rupture_ratio=(\"rupture_flag\", \"mean\"),\n",
" max_gap_abs=(\"gap_abs\", \"max\"),\n",
" max_gap_rel=(\"gap_rel\", \"max\")\n",
" )\n",
" .reset_index()\n",
")\n",
"\n",
"# ------------------------------------------------------------\n",
"# 13. Outputs\n",
"# ------------------------------------------------------------\n",
"df.to_csv(\"aum_flow_gaps.csv\", index=False)\n",
"rupture_isin_summary.to_csv(\"rupture_isin_summary.csv\", index=False)\n",
"rupture_summary.to_csv(\"rupture_summary.csv\", index=False)\n",
"\n",
"print(f\"Detection threshold epsilon (trimmed 99th percentile): {EPSILON:.2%}\")\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "d7454212-1493-4715-a436-c331931f92fa",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" Registrar Account - ID | \n",
" Product - Isin | \n",
" n_ruptures | \n",
" total_obs | \n",
" rupture_ratio | \n",
" max_gap | \n",
"
\n",
" \n",
" \n",
" \n",
" | 79298 | \n",
" OFF DISTRIBUTION | \n",
" GB00BQXJRP97 | \n",
" 1 | \n",
" 21 | \n",
" 0.047619 | \n",
" 4.254300e+07 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" Registrar Account - ID Product - Isin n_ruptures total_obs \\\n",
"79298 OFF DISTRIBUTION GB00BQXJRP97 1 21 \n",
"\n",
" rupture_ratio max_gap \n",
"79298 0.047619 4.254300e+07 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rupture_isin_summary.sort_values(\"rupture_ratio\").head(1)\n",
"rupture_isin_summary.sort_values(\"rupture_ratio\", ascending=False).head(1)\n",
"rupture_isin_summary.sort_values(\"max_gap\", ascending=False).head(1)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "b4040847-e0cf-4aa5-966c-d1fbf3935b7d",
"metadata": {},
"outputs": [],
"source": [
"def plot_isin_evolution(df, account_id, isin, title_suffix=\"\"):\n",
" sub = df[\n",
" (df[\"Registrar Account - ID\"] == account_id) &\n",
" (df[\"Product - Isin\"] == isin)\n",
" ].copy()\n",
"\n",
" if sub.empty:\n",
" print(\"No data for this (account, ISIN).\")\n",
" return\n",
"\n",
" plt.figure(figsize=(10,4))\n",
"\n",
" # Stock observé\n",
" plt.plot(\n",
" sub[\"Centralisation Date\"],\n",
" sub[\"Quantity - AUM\"],\n",
" label=\"Observed stock\",\n",
" linewidth=2\n",
" )\n",
"\n",
" # Stock attendu\n",
" plt.plot(\n",
" sub[\"Centralisation Date\"],\n",
" sub[\"expected_stock\"],\n",
" label=\"Expected stock\",\n",
" linestyle=\"--\"\n",
" )\n",
"\n",
" # Ruptures\n",
" rupt = sub[sub[\"rupture_flag\"]]\n",
" plt.scatter(\n",
" rupt[\"Centralisation Date\"],\n",
" rupt[\"Quantity - AUM\"],\n",
" color=\"red\",\n",
" label=\"Rupture\",\n",
" zorder=5\n",
" )\n",
"\n",
" plt.title(f\"ISIN {isin} — Account {account_id} {title_suffix}\")\n",
" plt.xlabel(\"Date\")\n",
" plt.ylabel(\"AUM (shares)\")\n",
" plt.legend()\n",
" plt.grid(True)\n",
" plt.tight_layout()\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "e5d7a5ab-40bd-452d-a6ae-d56e220c592f",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Option B (alternative) : les plus sévères\n",
"# sample_isin = problematic_isin.sort_values(\n",
"# \"rupture_ratio\", ascending=False\n",
"# ).head(10)\n",
"\n",
"def plot_isin_dynamics_clean(df, account_id, isin):\n",
" sub = df[\n",
" (df[\"Registrar Account - ID\"] == account_id) &\n",
" (df[\"Product - Isin\"] == isin)\n",
" ].sort_values(\"Centralisation Date\")\n",
"\n",
" if sub.empty:\n",
" return\n",
"\n",
" fig, ax = plt.subplots(figsize=(7.5, 3))\n",
"\n",
" # AUM observé\n",
" ax.plot(\n",
" sub[\"Centralisation Date\"],\n",
" sub[\"Quantity - AUM\"],\n",
" label=\"Observed AUM\",\n",
" linewidth=2,\n",
" color=\"black\"\n",
" )\n",
"\n",
" # AUM attendu\n",
" ax.plot(\n",
" sub[\"Centralisation Date\"],\n",
" sub[\"expected_stock\"],\n",
" label=\"Flow-implied AUM\",\n",
" linestyle=\"--\",\n",
" linewidth=2,\n",
" color=\"grey\"\n",
" )\n",
"\n",
" # Ruptures\n",
" rupt = sub[sub[\"rupture_flag\"]]\n",
" ax.scatter(\n",
" rupt[\"Centralisation Date\"],\n",
" rupt[\"Quantity - AUM\"],\n",
" color=\"red\",\n",
" s=25,\n",
" zorder=5,\n",
" label=\"Discontinuity\"\n",
" )\n",
"\n",
" ax.set_title(f\"Account {account_id} — ISIN {isin}\", fontsize=11)\n",
" ax.set_xlabel(\"\")\n",
" ax.set_ylabel(\"AUM (shares)\")\n",
" ax.legend(loc=\"best\")\n",
"\n",
" plt.tight_layout()\n",
" plt.show()\n",
"\n",
"\n",
"\n",
"for _, row in sample_isin.iterrows():\n",
" plot_isin_dynamics(\n",
" df,\n",
" row[\"Registrar Account - ID\"],\n",
" row[\"Product - Isin\"]\n",
" )\n"
]
},
{
"cell_type": "code",
"execution_count": 79,
"id": "aef8ceb9-28a6-4908-ae24-a88d85b64309",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# ------------------------------------------------------------\n",
"# 1. Aggregate rupture rate over time\n",
"# ------------------------------------------------------------\n",
"time_stats = (\n",
" df.groupby(\"Centralisation Date\")\n",
" .agg(\n",
" total_obs=(\"rupture_flag\", \"count\"),\n",
" n_ruptures=(\"rupture_flag\", \"sum\")\n",
" )\n",
" .reset_index()\n",
")\n",
"\n",
"time_stats[\"rupture_rate\"] = (\n",
" time_stats[\"n_ruptures\"] / time_stats[\"total_obs\"]\n",
")\n",
"\n",
"# ------------------------------------------------------------\n",
"# 2. Smooth (optional but recommended for readability)\n",
"# ------------------------------------------------------------\n",
"time_stats[\"rupture_rate_ma\"] = (\n",
" time_stats[\"rupture_rate\"]\n",
" .rolling(window=6, center=True) # 6 periods ≈ half-year\n",
" .mean()\n",
")\n",
"\n",
"# ------------------------------------------------------------\n",
"# 3. Professional plot\n",
"# ------------------------------------------------------------\n",
"plt.figure(figsize=(12, 5))\n",
"\n",
"plt.plot(\n",
" time_stats[\"Centralisation Date\"],\n",
" time_stats[\"rupture_rate\"] * 100,\n",
" color=\"lightgray\",\n",
" linewidth=1,\n",
" alpha=0.6,\n",
" label=\"Monthly rupture rate\"\n",
")\n",
"\n",
"plt.plot(\n",
" time_stats[\"Centralisation Date\"],\n",
" time_stats[\"rupture_rate_ma\"] * 100,\n",
" color=\"#1f77b4\",\n",
" linewidth=2.5,\n",
" label=\"6-month moving average\"\n",
")\n",
"\n",
"plt.ylabel(\"Rupture rate (%)\")\n",
"plt.xlabel(\"Date\")\n",
"\n",
"plt.grid(True, linestyle=\"--\", alpha=0.4)\n",
"plt.legend(frameon=False)\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 87,
"id": "d6ee0c24-e14e-4c40-97d4-49879229790c",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_3828/1047489516.py:6: FutureWarning:\n",
"\n",
"DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
"\n"
]
},
{
"data": {
"text/plain": [
"has_reset\n",
"True 64192\n",
"False 15545\n",
"Name: count, dtype: int64"
]
},
"execution_count": 87,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"EPS = 1e-6 # seuil numérique\n",
"\n",
"reset_candidates = (\n",
" df\n",
" .groupby([\"Registrar Account - ID\", \"Product - Isin\"])\n",
" .apply(\n",
" lambda g: (\n",
" (g[\"Quantity - AUM\"].abs() < EPS) &\n",
" (g[\"expected_stock\"].abs() < EPS)\n",
" ).any()\n",
" )\n",
" .reset_index(name=\"has_reset\")\n",
")\n",
"\n",
"reset_candidates[\"has_reset\"].value_counts()\n"
]
},
{
"cell_type": "code",
"execution_count": 81,
"id": "d0e1d404-47b1-4894-8f66-621cd726c524",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" Registrar Account - ID | \n",
" Product - Isin | \n",
"
\n",
" \n",
" \n",
" \n",
" | 73456 | \n",
" 200127803 | \n",
" LU1299303229 | \n",
"
\n",
" \n",
" | 59874 | \n",
" 200127435 | \n",
" FR001400KAV4 | \n",
"
\n",
" \n",
" | 61773 | \n",
" 200127728 | \n",
" LU0992627967 | \n",
"
\n",
" \n",
" | 50039 | \n",
" 200058108 | \n",
" LU2809794220 | \n",
"
\n",
" \n",
" | 71797 | \n",
" 200085616 | \n",
" FR0010149179 | \n",
"
\n",
" \n",
" | ... | \n",
" ... | \n",
" ... | \n",
"
\n",
" \n",
" | 26363 | \n",
" 411905 | \n",
" LU0099161993 | \n",
"
\n",
" \n",
" | 79339 | \n",
" OFF DISTRIBUTION | \n",
" LU0807690168 | \n",
"
\n",
" \n",
" | 44191 | \n",
" 200000674 | \n",
" FR0010135103 | \n",
"
\n",
" \n",
" | 122 | \n",
" 13463 | \n",
" FR0010147603 | \n",
"
\n",
" \n",
" | 42493 | \n",
" 422778 | \n",
" FR0010149179 | \n",
"
\n",
" \n",
"
\n",
"
792 rows × 2 columns
\n",
"
"
],
"text/plain": [
" Registrar Account - ID Product - Isin\n",
"73456 200127803 LU1299303229\n",
"59874 200127435 FR001400KAV4\n",
"61773 200127728 LU0992627967\n",
"50039 200058108 LU2809794220\n",
"71797 200085616 FR0010149179\n",
"... ... ...\n",
"26363 411905 LU0099161993\n",
"79339 OFF DISTRIBUTION LU0807690168\n",
"44191 200000674 FR0010135103\n",
"122 13463 FR0010147603\n",
"42493 422778 FR0010149179\n",
"\n",
"[792 rows x 2 columns]"
]
},
"execution_count": 81,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"single_rupture"
]
},
{
"cell_type": "code",
"execution_count": 92,
"id": "601f61b8-0115-431d-97de-6ec5a0f1d4f4",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Before repair After repair Repaired points\n",
"0 756392 22357 18440\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_3828/2440789620.py:64: FutureWarning:\n",
"\n",
"DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
"\n"
]
}
],
"source": [
"GAP_TOL = 1e-6\n",
"REL_GAP_THR = 0.05\n",
"MIN_PERSISTENCE = 3\n",
"\n",
"df = merged_isin.copy().sort_values(\n",
" [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"]\n",
")\n",
"\n",
"df[\"corrected_aum\"] = df[\"Quantity - AUM\"]\n",
"df[\"repair_flag\"] = False\n",
"\n",
"def repair_group(g):\n",
" g = g.copy()\n",
"\n",
" obs = g[\"Quantity - AUM\"].values\n",
" flows = g[\"Quantity - NetFlows\"].values\n",
"\n",
" corrected = obs.copy()\n",
" expected = np.empty_like(obs)\n",
" expected[0] = np.nan\n",
"\n",
" # initial expected path\n",
" for t in range(1, len(obs)):\n",
" expected[t] = corrected[t-1] + flows[t-1]\n",
"\n",
" gap = obs - expected\n",
" rel_gap = np.abs(gap) / np.maximum(np.abs(expected), 1.0)\n",
"\n",
" idx = None\n",
" for i in range(1, len(obs) - MIN_PERSISTENCE):\n",
" if (\n",
" rel_gap[i] > REL_GAP_THR and\n",
" np.all(np.abs(gap[i:i+MIN_PERSISTENCE] - gap[i]) < GAP_TOL) and\n",
" np.all(np.abs(np.diff(flows[i:i+MIN_PERSISTENCE])) < GAP_TOL)\n",
" ):\n",
" idx = i\n",
" break\n",
"\n",
" if idx is None:\n",
" return g\n",
"\n",
" # apply correction\n",
" shift = gap[idx]\n",
" corrected[idx:] = obs[idx:] - shift\n",
" g.loc[g.index[idx]:, \"repair_flag\"] = True\n",
"\n",
" # rebuild expected stock AFTER correction\n",
" expected_corr = np.empty_like(obs)\n",
" expected_corr[0] = np.nan\n",
" for t in range(1, len(obs)):\n",
" expected_corr[t] = corrected[t-1] + flows[t-1]\n",
"\n",
" g[\"corrected_aum\"] = corrected\n",
" g[\"expected_stock_corr\"] = expected_corr\n",
"\n",
" return g\n",
"\n",
"df = (\n",
" df\n",
" .groupby([\"Registrar Account - ID\", \"Product - Isin\"], group_keys=False)\n",
" .apply(repair_group)\n",
")\n",
"\n",
"# Recompute gaps & ruptures\n",
"df[\"gap_before\"] = df[\"Quantity - AUM\"] - df[\"expected_stock\"]\n",
"df[\"gap_after\"] = df[\"corrected_aum\"] - df[\"expected_stock_corr\"]\n",
"\n",
"df[\"rupture_before\"] = df[\"gap_before\"].abs() > GAP_TOL\n",
"df[\"rupture_after\"] = df[\"gap_after\"].abs() > GAP_TOL\n",
"\n",
"summary = pd.DataFrame({\n",
" \"Before repair\": [df[\"rupture_before\"].sum()],\n",
" \"After repair\": [df[\"rupture_after\"].sum()],\n",
" \"Repaired points\": [df[\"repair_flag\"].sum()]\n",
"})\n",
"\n",
"print(summary)\n"
]
},
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"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import plotly.graph_objects as go\n",
"import pandas as pd\n",
"\n",
"# ============================================================\n",
"# Parameters (fixed epsilon)\n",
"# ============================================================\n",
"GAP_EPS = 100 # fixed tolerance for accounting identity\n",
"\n",
"# ============================================================\n",
"# 1. Define ruptures using a FIXED epsilon\n",
"# ============================================================\n",
"df = df.copy()\n",
"\n",
"df[\"rupture_before\"] = df[\"gap_before\"].abs() > GAP_EPS\n",
"df[\"rupture_after\"] = df[\"gap_after\"].abs() > GAP_EPS\n",
"\n",
"# ============================================================\n",
"# 2. Rupture ratios BEFORE repair\n",
"# ============================================================\n",
"rupture_summary_before = (\n",
" df\n",
" .groupby([\"Registrar Account - ID\", \"Product - Isin\"])\n",
" .agg(\n",
" n_obs=(\"rupture_before\", \"count\"),\n",
" n_ruptures=(\"rupture_before\", \"sum\")\n",
" )\n",
" .reset_index()\n",
")\n",
"\n",
"rupture_summary_before[\"rupture_ratio\"] = (\n",
" rupture_summary_before[\"n_ruptures\"] /\n",
" rupture_summary_before[\"n_obs\"]\n",
")\n",
"\n",
"# ============================================================\n",
"# 3. Rupture ratios AFTER repair\n",
"# ============================================================\n",
"rupture_summary_after = (\n",
" df\n",
" .groupby([\"Registrar Account - ID\", \"Product - Isin\"])\n",
" .agg(\n",
" n_obs=(\"rupture_after\", \"count\"),\n",
" n_ruptures=(\"rupture_after\", \"sum\")\n",
" )\n",
" .reset_index()\n",
")\n",
"\n",
"rupture_summary_after[\"rupture_ratio\"] = (\n",
" rupture_summary_after[\"n_ruptures\"] /\n",
" rupture_summary_after[\"n_obs\"]\n",
")\n",
"\n",
"# ============================================================\n",
"# 4. Rupture intensity classes (fixed bins)\n",
"# ============================================================\n",
"bins = [0.0, 0.01, 0.10, 0.30, 1.0]\n",
"labels = [\n",
" \"Clean / quasi-clean (≤1%)\",\n",
" \"Moderate (1–10%)\",\n",
" \"High (10–30%)\",\n",
" \"Severe (>30%)\"\n",
"]\n",
"\n",
"rupture_summary_before[\"rupture_class\"] = pd.cut(\n",
" rupture_summary_before[\"rupture_ratio\"],\n",
" bins=bins,\n",
" labels=labels,\n",
" include_lowest=True\n",
")\n",
"\n",
"rupture_summary_after[\"rupture_class\"] = pd.cut(\n",
" rupture_summary_after[\"rupture_ratio\"],\n",
" bins=bins,\n",
" labels=labels,\n",
" include_lowest=True\n",
")\n",
"\n",
"# ============================================================\n",
"# 5. Distribution (%)\n",
"# ============================================================\n",
"dist_before = (\n",
" rupture_summary_before[\"rupture_class\"]\n",
" .value_counts(normalize=True)\n",
" .sort_index()\n",
" * 100\n",
").round(1)\n",
"\n",
"dist_after = (\n",
" rupture_summary_after[\"rupture_class\"]\n",
" .value_counts(normalize=True)\n",
" .sort_index()\n",
" * 100\n",
").round(1)\n",
"\n",
"# ============================================================\n",
"# 6. Donut chart: BEFORE vs AFTER (fixed epsilon)\n",
"# ============================================================\n",
"fig = go.Figure()\n",
"\n",
"fig.add_trace(go.Pie(\n",
" labels=dist_before.index,\n",
" values=dist_before.values,\n",
" hole=0.45,\n",
" name=\"Before repair\",\n",
" domain=dict(x=[0.0, 0.48]),\n",
" textinfo=\"percent\",\n",
" hoverinfo=\"label+percent\"\n",
"))\n",
"\n",
"fig.add_trace(go.Pie(\n",
" labels=dist_after.index,\n",
" values=dist_after.values,\n",
" hole=0.45,\n",
" name=\"After repair\",\n",
" domain=dict(x=[0.52, 1.0]),\n",
" textinfo=\"percent\",\n",
" hoverinfo=\"label+percent\"\n",
"))\n",
"\n",
"fig.update_layout(\n",
" title=\"Distribution of AUM–flow rupture intensity before vs after repair (fixed ε)\",\n",
" annotations=[\n",
" dict(text=\"Before repair\", x=0.24, y=0.5, showarrow=False),\n",
" dict(text=\"After repair\", x=0.76, y=0.5, showarrow=False),\n",
" ],\n",
" legend=dict(\n",
" orientation=\"h\",\n",
" yanchor=\"top\",\n",
" y=-0.15,\n",
" xanchor=\"center\",\n",
" x=0.5\n",
" ),\n",
" legend_title_text=\"Rupture ratio\"\n",
")\n",
"\n",
"fig.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 100,
"id": "70cf0a99-bd19-41a9-9574-88647fde09ca",
"metadata": {},
"outputs": [],
"source": [
"# ============================================================\n",
"# FINAL DATASETS AFTER REPAIR\n",
"# ============================================================\n",
"\n",
"df_final = df.copy()\n",
"\n",
"# ------------------------------------------------------------\n",
"# Core variables (before / after)\n",
"# ------------------------------------------------------------\n",
"df_final = df_final[[\n",
" \"Registrar Account - ID\",\n",
" \"Product - Isin\",\n",
" \"Centralisation Date\",\n",
" \"Quantity - AUM\",\n",
" \"corrected_aum\",\n",
" \"Quantity - NetFlows\",\n",
" \"expected_stock\",\n",
" \"expected_stock_corr\",\n",
" \"gap_before\",\n",
" \"gap_after\",\n",
" \"repair_flag\"\n",
"]].rename(columns={\n",
" \"Quantity - AUM\": \"aum_raw\",\n",
" \"corrected_aum\": \"aum_repaired\",\n",
" \"Quantity - NetFlows\": \"flows\",\n",
" \"expected_stock\": \"expected_aum_raw\",\n",
" \"expected_stock_corr\": \"expected_aum_repaired\"\n",
"})\n",
"\n",
"# ------------------------------------------------------------\n",
"# Relative gaps\n",
"# ------------------------------------------------------------\n",
"df_final[\"gap_rel_before\"] = (\n",
" df_final[\"gap_before\"].abs() /\n",
" df_final[\"expected_aum_raw\"].abs().clip(lower=1)\n",
")\n",
"\n",
"df_final[\"gap_rel_after\"] = (\n",
" df_final[\"gap_after\"].abs() /\n",
" df_final[\"expected_aum_repaired\"].abs().clip(lower=1)\n",
")\n",
"df_final.to_csv('df_repaired.csv')"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "befb2962-73fb-4cb8-b86e-3218ec103204",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Temporary reset glitches repaired (Type 3): 8376\n"
]
}
],
"source": [
"# ============================================================\n",
"# TYPE 3 REPAIR — TEMPORARY RESET TO ZERO (ONE BLOCK)\n",
"# ============================================================\n",
"\n",
"df_type3 = df_repaired.copy()\n",
"df_type3 = df_type3.sort_values(\n",
" [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"]\n",
")\n",
"\n",
"# Create lead/lag variables\n",
"df_type3[\"aum_prev\"] = df_type3.groupby(\n",
" [\"Registrar Account - ID\", \"Product - Isin\"]\n",
")[\"Quantity - AUM\"].shift(1)\n",
"\n",
"df_type3[\"aum_next\"] = df_type3.groupby(\n",
" [\"Registrar Account - ID\", \"Product - Isin\"]\n",
")[\"Quantity - AUM\"].shift(-1)\n",
"\n",
"df_type3[\"flow_prev\"] = df_type3.groupby(\n",
" [\"Registrar Account - ID\", \"Product - Isin\"]\n",
")[\"Quantity - NetFlows\"].shift(1)\n",
"\n",
"df_type3[\"flow_next\"] = df_type3.groupby(\n",
" [\"Registrar Account - ID\", \"Product - Isin\"]\n",
")[\"Quantity - NetFlows\"].shift(-1)\n",
"\n",
"# ------------------------------------------------------------\n",
"# Detection of temporary reset\n",
"# ------------------------------------------------------------\n",
"df_type3[\"type3_flag\"] = (\n",
" (df_type3[\"Quantity - AUM\"] == 0)\n",
" & (df_type3[\"aum_prev\"] > 0)\n",
" & (df_type3[\"aum_next\"] == df_type3[\"aum_prev\"])\n",
" & (df_type3[\"flow_prev\"].fillna(0) == 0)\n",
" & (df_type3[\"Quantity - NetFlows\"] == 0)\n",
" & (df_type3[\"flow_next\"].fillna(0) == 0)\n",
")\n",
"\n",
"# ------------------------------------------------------------\n",
"# Repair: smooth the glitch (replace 0 by previous stock)\n",
"# ------------------------------------------------------------\n",
"df_type3.loc[df_type3[\"type3_flag\"], \"Quantity - AUM\"] = (\n",
" df_type3.loc[df_type3[\"type3_flag\"], \"aum_prev\"]\n",
")\n",
"\n",
"# ------------------------------------------------------------\n",
"# Recompute temporal chain AFTER repair\n",
"# ------------------------------------------------------------\n",
"df_type3[\"prev_stock\"] = df_type3.groupby(\n",
" [\"Registrar Account - ID\", \"Product - Isin\"]\n",
")[\"Quantity - AUM\"].shift(1)\n",
"\n",
"df_type3[\"prev_flows\"] = df_type3.groupby(\n",
" [\"Registrar Account - ID\", \"Product - Isin\"]\n",
")[\"Quantity - NetFlows\"].shift(1).fillna(0)\n",
"\n",
"df_type3[\"expected_stock\"] = (\n",
" df_type3[\"prev_stock\"] + df_type3[\"prev_flows\"]\n",
")\n",
"\n",
"df_type3[\"gap\"] = df_type3[\"Quantity - AUM\"] - df_type3[\"expected_stock\"]\n",
"df_type3[\"gap_abs\"] = df_type3[\"gap\"].abs()\n",
"df_type3[\"gap_rel\"] = (\n",
" df_type3[\"gap_abs\"] /\n",
" df_type3[\"expected_stock\"].abs().clip(lower=1)\n",
")\n",
"\n",
"df_type3[\"rupture_flag\"] = (\n",
" df_type3[\"prev_stock\"].notna()\n",
" & (df_type3[\"gap_abs\"] > TAU_ABS)\n",
" & (df_type3[\"gap_rel\"] > TAU_REL)\n",
")\n",
"\n",
"# ------------------------------------------------------------\n",
"# Diagnostic output\n",
"# ------------------------------------------------------------\n",
"n_type3 = df_type3[\"type3_flag\"].sum()\n",
"print(f\"Temporary reset glitches repaired (Type 3): {n_type3}\")\n"
]
},
{
"cell_type": "code",
"execution_count": 72,
"id": "1fc44ed4-829f-4a8a-985a-31350bdbdf6d",
"metadata": {},
"outputs": [
{
"ename": "IndexError",
"evalue": "index 0 is out of bounds for axis 0 with size 0",
"output_type": "error",
"traceback": [
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
"\u001b[31mIndexError\u001b[39m Traceback (most recent call last)",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[72]\u001b[39m\u001b[32m, line 28\u001b[39m\n\u001b[32m 25\u001b[39m \u001b[38;5;66;03m# Localiser la rupture\u001b[39;00m\n\u001b[32m 26\u001b[39m rupture_idx = sub.index[sub[\u001b[33m\"\u001b[39m\u001b[33mrupture_flag\u001b[39m\u001b[33m\"\u001b[39m]]\n\u001b[32m---> \u001b[39m\u001b[32m28\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m sub.index.get_loc(\u001b[43mrupture_idx\u001b[49m\u001b[43m[\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m]\u001b[49m) > \u001b[32m1\u001b[39m:\n\u001b[32m 29\u001b[39m \u001b[38;5;66;03m#print(sub[[\"Centralisation Date\", \"Quantity - AUM\", \"expected_stock\", \"gap\", \"rupture_flag\"]].head(100))\u001b[39;00m\n\u001b[32m 30\u001b[39m \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[32m 32\u001b[39m \u001b[38;5;66;03m# Vérifier si la rupture est à la première date\u001b[39;00m\n",
"\u001b[36mFile \u001b[39m\u001b[32m/opt/python/lib/python3.13/site-packages/pandas/core/indexes/base.py:5401\u001b[39m, in \u001b[36mIndex.__getitem__\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 5398\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m is_integer(key) \u001b[38;5;129;01mor\u001b[39;00m is_float(key):\n\u001b[32m 5399\u001b[39m \u001b[38;5;66;03m# GH#44051 exclude bool, which would return a 2d ndarray\u001b[39;00m\n\u001b[32m 5400\u001b[39m key = com.cast_scalar_indexer(key)\n\u001b[32m-> \u001b[39m\u001b[32m5401\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mgetitem\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 5403\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(key, \u001b[38;5;28mslice\u001b[39m):\n\u001b[32m 5404\u001b[39m \u001b[38;5;66;03m# This case is separated from the conditional above to avoid\u001b[39;00m\n\u001b[32m 5405\u001b[39m \u001b[38;5;66;03m# pessimization com.is_bool_indexer and ndim checks.\u001b[39;00m\n\u001b[32m 5406\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m._getitem_slice(key)\n",
"\u001b[31mIndexError\u001b[39m: index 0 is out of bounds for axis 0 with size 0"
]
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"# ------------------------------------------------------------\n",
"# 1. Sélection des ISIN avec exactement 1 rupture\n",
"# ------------------------------------------------------------\n",
"one_rupture_isin = rupture_isin_summary[\n",
" rupture_isin_summary[\"n_ruptures\"] == 1\n",
"][[\"Registrar Account - ID\", \"Product - Isin\"]].head(100)\n",
"\n",
"results = []\n",
"\n",
"# ------------------------------------------------------------\n",
"# 2. Boucle de correction test\n",
"# ------------------------------------------------------------\n",
"for _, row in one_rupture_isin.iterrows():\n",
" acc = row[\"Registrar Account - ID\"]\n",
" isin = row[\"Product - Isin\"]\n",
"\n",
" sub = df[\n",
" (df[\"Registrar Account - ID\"] == acc) &\n",
" (df[\"Product - Isin\"] == isin)\n",
" ].sort_values(\"Centralisation Date\").copy()\n",
"\n",
" # Localiser la rupture\n",
" rupture_idx = sub.index[sub[\"rupture_flag\"]]\n",
"\n",
" if sub.index.get_loc(rupture_idx[0]) > 1:\n",
" #print(sub[[\"Centralisation Date\", \"Quantity - AUM\", \"expected_stock\", \"gap\", \"rupture_flag\"]].head(100))\n",
" continue\n",
"\n",
" # Vérifier si la rupture est à la première date\n",
" first_idx = sub.index[0]\n",
" if rupture_idx[0] != first_idx:\n",
" continue\n",
"\n",
" # ----- Réparation : décaler expected_stock -----\n",
" sub[\"expected_stock_fixed\"] = sub[\"expected_stock\"].shift(-1)\n",
"\n",
" # Recalcul des gaps\n",
" sub[\"gap_fixed\"] = sub[\"Quantity - AUM\"] - sub[\"expected_stock_fixed\"]\n",
" sub[\"gap_abs_fixed\"] = sub[\"gap_fixed\"].abs()\n",
" sub[\"gap_rel_fixed\"] = sub[\"gap_abs_fixed\"] / sub[\"expected_stock_fixed\"].abs().clip(lower=1)\n",
"\n",
" # Recalcul rupture\n",
" sub[\"rupture_fixed\"] = (\n",
" sub[\"expected_stock_fixed\"].notna()\n",
" & (sub[\"gap_abs_fixed\"] > TAU_ABS)\n",
" & (sub[\"gap_rel_fixed\"] > TAU_REL)\n",
" )\n",
"\n",
" results.append({\n",
" \"Registrar Account - ID\": acc,\n",
" \"Product - Isin\": isin,\n",
" \"ruptures_before\": sub[\"rupture_flag\"].sum(),\n",
" \"ruptures_after\": sub[\"rupture_fixed\"].sum()\n",
" })\n",
"\n",
"# ------------------------------------------------------------\n",
"# 3. Résultats agrégés\n",
"# ------------------------------------------------------------\n",
"repair_test = pd.DataFrame(results)\n",
"\n",
"summary = repair_test.groupby(\n",
" [\"ruptures_before\", \"ruptures_after\"]\n",
").size().reset_index(name=\"count\")\n",
"\n",
"repair_test, summary\n"
]
},
{
"cell_type": "code",
"execution_count": 106,
"id": "d85728ca-55ba-4266-b881-23536eee4ba3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Share of repaired observations: 2.1230%\n",
"Number of repaired rows: 117,105\n"
]
}
],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"# ============================================================\n",
"# Rebuild STOCKS dataset using repaired AUM quantities\n",
"# ============================================================\n",
"\n",
"# 1. Copy original stocks\n",
"stocks_repaired = stocks.copy()\n",
"stocks_repaired[\"Centralisation Date\"] = pd.to_datetime(\n",
" stocks_repaired[\"Centralisation Date\"]\n",
")\n",
"\n",
"# 2. Build repair map\n",
"repair_map = (\n",
" df[[\n",
" \"Registrar Account - ID\",\n",
" \"Product - Isin\",\n",
" \"Centralisation Date\",\n",
" \"corrected_aum\",\n",
" \"repair_flag\"\n",
" ]]\n",
" .rename(columns={\"corrected_aum\": \"Quantity - AUM repaired\"})\n",
")\n",
"\n",
"# 3. Merge repaired quantities\n",
"stocks_repaired = stocks_repaired.merge(\n",
" repair_map,\n",
" on=[\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"],\n",
" how=\"left\"\n",
")\n",
"\n",
"# 4. Store original quantity\n",
"stocks_repaired[\"Quantity - AUM original\"] = stocks_repaired[\"Quantity - AUM\"]\n",
"\n",
"# 5. Replace Quantity - AUM where repaired\n",
"stocks_repaired[\"Quantity - AUM\"] = np.where(\n",
" stocks_repaired[\"repair_flag\"] == True,\n",
" stocks_repaired[\"Quantity - AUM repaired\"],\n",
" stocks_repaired[\"Quantity - AUM\"]\n",
")\n",
"\n",
"# 6. Recompute monetary values (unit value unchanged)\n",
"stocks_repaired[\"nav_ccy\"] = (\n",
" stocks_repaired[\"Value - AUM CCY\"] /\n",
" stocks_repaired[\"Quantity - AUM original\"]\n",
")\n",
"\n",
"stocks_repaired[\"nav_eur\"] = (\n",
" stocks_repaired[\"Value - AUM €\"] /\n",
" stocks_repaired[\"Quantity - AUM original\"]\n",
")\n",
"\n",
"stocks_repaired[\"Value - AUM CCY\"] = (\n",
" stocks_repaired[\"Quantity - AUM\"] *\n",
" stocks_repaired[\"nav_ccy\"]\n",
")\n",
"\n",
"stocks_repaired[\"Value - AUM €\"] = (\n",
" stocks_repaired[\"Quantity - AUM\"] *\n",
" stocks_repaired[\"nav_eur\"]\n",
")\n",
"\n",
"# 7. Cleanup helper columns\n",
"stocks_repaired = stocks_repaired.drop(\n",
" columns=[\n",
" \"Quantity - AUM repaired\",\n",
" \"Quantity - AUM original\",\n",
" \"nav_ccy\",\n",
" \"nav_eur\"\n",
" ]\n",
")\n",
"\n",
"# ============================================================\n",
"# Sanity checks (CORRECT WAY)\n",
"# ============================================================\n",
"\n",
"# Share of observations repaired\n",
"repair_share = stocks_repaired[\"repair_flag\"].mean()\n",
"\n",
"# Ensure only repaired points were modified\n",
"n_modified = stocks_repaired[\"repair_flag\"].sum()\n",
"\n",
"print(f\"Share of repaired observations: {repair_share:.4%}\")\n",
"print(f\"Number of repaired rows: {n_modified:,}\")\n",
"\n",
"stocks_repaired.to_csv('AUM_repaired.csv')"
]
},
{
"cell_type": "code",
"execution_count": 107,
"id": "5f262605-49e8-4304-b11e-38c8bcfc6e3f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"15532\n",
"15532\n"
]
}
],
"source": [
"print(stocks[\"Registrar Account - ID\"].nunique())\n",
"print(df[\"Registrar Account - ID\"].nunique())"
]
},
{
"cell_type": "code",
"execution_count": 73,
"id": "990898ea-ceca-46bb-bfb3-c87bf289d272",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"\n",
"df = merged_isin.copy()\n",
"\n",
"# Ajouter année / mois\n",
"df[\"year\"] = df[\"Centralisation Date\"].dt.year\n",
"df[\"month\"] = df[\"Centralisation Date\"].dt.month\n",
"\n",
"# 1. Nombre total de lignes par mois\n",
"total = df.groupby([\"year\", \"month\"]).size().reset_index(name=\"total_lines\")\n",
"\n",
"# 2. Nombre de ruptures par mois\n",
"ruptures = df[df[\"rupture_flag\"]].groupby([\"year\", \"month\"]).size().reset_index(name=\"n_ruptures\")\n",
"\n",
"# 3. Merge pour obtenir total + ruptures\n",
"ratio = total.merge(ruptures, on=[\"year\",\"month\"], how=\"left\")\n",
"ratio[\"n_ruptures\"] = ratio[\"n_ruptures\"].fillna(0)\n",
"\n",
"# 4. Proportion (en %)\n",
"ratio[\"rupture_ratio\"] = ratio[\"n_ruptures\"] / ratio[\"total_lines\"]\n",
"\n",
"# 5. Pivot pour heatmap\n",
"heatmap_ratio = ratio.pivot(index=\"year\", columns=\"month\", values=\"rupture_ratio\").fillna(0)\n",
"\n",
"# 6. Plot\n",
"plt.figure(figsize=(14, 7))\n",
"sns.heatmap(\n",
" heatmap_ratio, \n",
" cmap=\"Reds\",\n",
" linewidths=.3,\n",
" linecolor=\"grey\",\n",
" annot=True,\n",
" fmt=\".2%\",\n",
" cbar_kws={'label': 'Proportion de ruptures'}\n",
")\n",
"\n",
"plt.title(\"Heatmap de la proportion de ruptures (par année et mois)\", fontsize=16)\n",
"plt.xlabel(\"Mois\")\n",
"plt.ylabel(\"Année\")\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 69,
"id": "4d335589-c519-458d-857d-a051813b950b",
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'merged_isin' is not defined",
"output_type": "error",
"traceback": [
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
"\u001b[31mNameError\u001b[39m Traceback (most recent call last)",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[69]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m df = \u001b[43mmerged_isin\u001b[49m.copy()\n\u001b[32m 3\u001b[39m \u001b[38;5;66;03m# Ajouter year / month au cas où\u001b[39;00m\n\u001b[32m 4\u001b[39m df[\u001b[33m\"\u001b[39m\u001b[33myear\u001b[39m\u001b[33m\"\u001b[39m] = df[\u001b[33m\"\u001b[39m\u001b[33mCentralisation Date\u001b[39m\u001b[33m\"\u001b[39m].dt.year\n",
"\u001b[31mNameError\u001b[39m: name 'merged_isin' is not defined"
]
}
],
"source": [
"df = merged_isin.copy()\n",
"\n",
"# Ajouter year / month au cas où\n",
"df[\"year\"] = df[\"Centralisation Date\"].dt.year\n",
"df[\"month\"] = df[\"Centralisation Date\"].dt.month\n",
"\n",
"# Merge géographique\n",
"df = df.merge(\n",
" geo[[\"Registrar Account - ID\", \"country\"]],\n",
" on=\"Registrar Account - ID\",\n",
" how=\"left\"\n",
")\n",
"\n",
"df[\"country\"] = df[\"country\"].fillna(\"UNKNOWN\")\n",
"\n",
"# Total des lignes par pays\n",
"total_country = df.groupby(\"country\").size().reset_index(name=\"total_obs\")\n",
"\n",
"# Nombre de ruptures\n",
"rupt_country = (\n",
" df[df[\"rupture_flag\"]]\n",
" .groupby(\"country\")\n",
" .size()\n",
" .reset_index(name=\"ruptures\")\n",
")\n",
"\n",
"# Merge + ratios\n",
"country_stats = total_country.merge(rupt_country, on=\"country\", how=\"left\")\n",
"country_stats[\"ruptures\"] = country_stats[\"ruptures\"].fillna(0)\n",
"country_stats[\"rupture_ratio\"] = country_stats[\"ruptures\"] / country_stats[\"total_obs\"]\n",
"\n",
"# Tri (rupture ratio décroissant)\n",
"country_stats = country_stats.sort_values(\"rupture_ratio\", ascending=False)"
]
},
{
"cell_type": "code",
"execution_count": 70,
"id": "8a45a111-25da-4f5c-9723-c3efd25c906d",
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'country_stats' is not defined",
"output_type": "error",
"traceback": [
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
"\u001b[31mNameError\u001b[39m Traceback (most recent call last)",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[70]\u001b[39m\u001b[32m, line 4\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;66;03m# On ajoute une colonne en % pour l’affichage\u001b[39;00m\n\u001b[32m 2\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mplotly\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mexpress\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mpx\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m4\u001b[39m country_stats_plot = \u001b[43mcountry_stats\u001b[49m.copy()\n\u001b[32m 5\u001b[39m country_stats_plot[\u001b[33m\"\u001b[39m\u001b[33mrupture_pct\u001b[39m\u001b[33m\"\u001b[39m] = country_stats_plot[\u001b[33m\"\u001b[39m\u001b[33mrupture_ratio\u001b[39m\u001b[33m\"\u001b[39m] * \u001b[32m100\u001b[39m\n\u001b[32m 7\u001b[39m \u001b[38;5;66;03m# Tri décroissant par proportion de ruptures\u001b[39;00m\n",
"\u001b[31mNameError\u001b[39m: name 'country_stats' is not defined"
]
}
],
"source": [
"# On ajoute une colonne en % pour l’affichage\n",
"import plotly.express as px\n",
"\n",
"country_stats_plot = country_stats.copy()\n",
"country_stats_plot[\"rupture_pct\"] = country_stats_plot[\"rupture_ratio\"] * 100\n",
"\n",
"# Tri décroissant par proportion de ruptures\n",
"country_stats_plot = country_stats_plot.sort_values(\"rupture_ratio\", ascending=False)\n",
"\n",
"fig = px.bar(\n",
" country_stats_plot,\n",
" x=\"country\",\n",
" y=\"rupture_ratio\",\n",
" hover_data={\n",
" \"rupture_pct\": ':.2f',\n",
" \"ruptures\": True,\n",
" \"total_obs\": True,\n",
" \"rupture_ratio\": False, # on cache la version décimale\n",
" },\n",
" labels={\n",
" \"country\": \"Pays\",\n",
" \"rupture_ratio\": \"Proportion de ruptures\",\n",
" \"rupture_pct\": \"% de ruptures\",\n",
" \"ruptures\": \"Nb de ruptures\",\n",
" \"total_obs\": \"Nb d'observations\"\n",
" },\n",
" title=\"Proportion de ruptures par pays (avec volumes au survol)\"\n",
")\n",
"\n",
"# Format en %\n",
"fig.update_yaxes(tickformat=\".1%\")\n",
"\n",
"fig.update_layout(\n",
" xaxis_tickangle=-45,\n",
" bargap=0.2\n",
")\n",
"\n",
"fig.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a0db693e-af06-463d-884d-49b88f19e83d",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "a4af9841-6cf9-4d27-8096-ac878e866bc6",
"metadata": {},
"outputs": [],
"source": [
"rs = rupture_summary.copy()\n",
"\n",
"# 1. Stats numériques classiques\n",
"print(\"\\n=== BASIC NUMERIC STATS ===\")\n",
"print(rs[\"rupture_ratio\"].describe(percentiles=[0.01, 0.05, 0.10, 0.25, 0.5, 0.75, 0.90, 0.95, 0.99]))\n",
"\n",
"\n",
"# 2. Distribution par classes (bins)\n",
"\n",
"rs[\"rupture_bucket\"] = pd.cut(\n",
" rs[\"rupture_ratio\"],\n",
" bins=[0, 0.001, 0.01, 0.05, 0.10, 0.25, 0.50, 1.01],\n",
" labels=[\n",
" \"0–0.1%\",\n",
" \"0.1–1%\",\n",
" \"1–5%\",\n",
" \"5–10%\",\n",
" \"10–25%\",\n",
" \"25–50%\",\n",
" \"50–100%\"\n",
" ],\n",
" include_lowest=True\n",
")\n",
"\n",
"# Ajouter la catégorie \"0%\"\n",
"rs[\"rupture_bucket\"] = rs[\"rupture_bucket\"].cat.add_categories(\"0%\")\n",
"\n",
"# Remplacer les 0% exacts\n",
"rs.loc[rs[\"rupture_ratio\"] == 0, \"rupture_bucket\"] = \"0%\"\n",
"\n",
"bucket_counts = rs[\"rupture_bucket\"].value_counts().sort_index()\n",
"print(bucket_counts)\n",
"\n",
"\n",
"# 3. Pourcentages\n",
"bucket_percent = (bucket_counts / len(rs) * 100).round(2)\n",
"\n",
"print(\"\\n=== DISTRIBUTION (PERCENT) ===\")\n",
"print(bucket_percent)\n",
"\n",
"\n",
"# 4. Nombre de comptes totalement propres\n",
"no_rupture = (rs[\"n_ruptures\"] == 0).sum()\n",
"print(f\"\\nComptes avec 0 rupture = {no_rupture} ({no_rupture/len(rs)*100:.2f}%)\")\n",
"\n",
"# 5. Comptes extrêmement problématiques\n",
"severe = (rs[\"rupture_ratio\"] > 0.75).sum()\n",
"print(f\"Comptes avec rupture_ratio > 75% = {severe} ({severe/len(rs)*100:.2f}%)\")\n",
"\n",
"medium = (rs[\"rupture_ratio\"] > 0.10).sum()\n",
"print(f\"Comptes avec rupture_ratio > 10% = {medium} ({medium/len(rs)*100:.2f}%)\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f39a9a5a-5f4e-4cac-9f63-e6952582b6ff",
"metadata": {},
"outputs": [],
"source": [
"import plotly.express as px\n",
"\n",
"fig = px.histogram(\n",
" rs,\n",
" x=\"rupture_ratio\",\n",
" nbins=50,\n",
" title=\"Distribution du rupture_ratio\",\n",
" labels={\"rupture_ratio\": \"Rupture Ratio\"},\n",
")\n",
"fig.update_layout(bargap=0.05)\n",
"fig.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "70132995-8379-44b6-8ff6-f09524c4e4d0",
"metadata": {},
"outputs": [],
"source": [
"# --- 1. Filtres de base ---\n",
"merged[\"year\"] = merged[\"Centralisation Date\"].dt.year\n",
"\n",
"# Filtrer uniquement l'année 2021\n",
"ruptures_2021 = merged[(merged[\"year\"] == 2021) & (merged[\"rupture_flag\"] == True)].copy()\n",
"\n",
"print(\"Nombre total de ruptures en 2021 :\", len(ruptures_2021))\n",
"\n",
"# --- 2. Classification du type de gap ---\n",
"ruptures_2021[\"gap_type\"] = np.where(ruptures_2021[\"gap\"] > 0, \"positive\", \"negative\")\n",
"\n",
"# --- 3. Statistiques globales ---\n",
"gap_counts = ruptures_2021[\"gap_type\"].value_counts()\n",
"gap_percent = ruptures_2021[\"gap_type\"].value_counts(normalize=True) * 100\n",
"\n",
"print(\"\\n=== RUPTURES 2021 — POSITIVES vs NEGATIVES ===\")\n",
"print(gap_counts)\n",
"print(\"\\n(%)\")\n",
"print(gap_percent.map(lambda x: f\"{x:.2f}%\"))\n",
"\n",
"# --- 4. Intensité des écarts ---\n",
"intensity_stats = ruptures_2021.groupby(\"gap_type\")[\"gap\"].describe()\n",
"print(\"\\n=== STATISTIQUES DES GAPS ===\")\n",
"print(intensity_stats)\n",
"\n",
"# --- 5. Visualisation rapide ---\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt\n",
"\n",
"plt.figure(figsize=(10,5))\n",
"sns.histplot(data=ruptures_2021, x=\"gap\", hue=\"gap_type\", bins=80, kde=True)\n",
"plt.xlim(-merged[\"gap\"].abs().max(), merged[\"gap\"].abs().max())\n",
"plt.title(\"Distribution des gaps de rupture en 2021\")\n",
"plt.xlabel(\"Gap (AUM_{t} − Expected AUM_{t})\")\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1faf943a-4703-4b19-a867-2670ac3a5209",
"metadata": {},
"outputs": [],
"source": [
"# --- 1. ADD YEAR ---\n",
"merged[\"year\"] = merged[\"Centralisation Date\"].dt.year\n",
"\n",
"# --- 2. DEFINE PERIODS ---\n",
"conditions = [\n",
" merged[\"year\"] < 2021,\n",
" merged[\"year\"] == 2021,\n",
" merged[\"year\"] > 2021\n",
"]\n",
"\n",
"period_labels = [\"before_2021\", \"during_2021\", \"after_2021\"]\n",
"\n",
"merged[\"period\"] = np.select(\n",
" conditions,\n",
" period_labels,\n",
" default=\"unknown\"\n",
")\n",
"\n",
"# --- 3. CREATE GAP TYPE & FILTER ONLY RUPTURES ---\n",
"merged[\"gap_type\"] = np.where(\n",
" merged[\"gap\"] > 0, \"positive\",\n",
" np.where(merged[\"gap\"] < 0, \"negative\", \"zero\")\n",
")\n",
"\n",
"ruptures = merged[merged[\"rupture_flag\"] == True].copy()\n",
"\n",
"# --- 4. TOTAL OBS PER PERIOD ---\n",
"total_obs = merged.groupby(\"period\").size().rename(\"total_obs\")\n",
"\n",
"# --- 5. TOTAL RUPTURES PER PERIOD ---\n",
"rupture_counts = ruptures.groupby(\"period\").size().rename(\"rupture_count\")\n",
"\n",
"# --- 6. PROPORTION OF RUPTURES ---\n",
"rupture_ratio = (rupture_counts / total_obs).rename(\"rupture_ratio\")\n",
"\n",
"# --- 7. POSITIVE / NEGATIVE GAPS (% among ruptures) ---\n",
"gap_dist = (\n",
" ruptures.groupby([\"period\", \"gap_type\"])\n",
" .size()\n",
" .groupby(level=0)\n",
" .apply(lambda x: (x / x.sum()) * 100) # % par période\n",
")\n",
"\n",
"\n",
"# --- 8. MERGE AND DISPLAY ---\n",
"summary = pd.concat([total_obs, rupture_counts, rupture_ratio], axis=1)\n",
"summary[\"rupture_ratio\"] = (summary[\"rupture_ratio\"] * 100).round(2)\n",
"\n",
"print(\"\\n=== RUPTURE SUMMARY (in %) ===\")\n",
"print(summary)\n",
"\n",
"print(\"\\n=== GAP POSITIVE / NEGATIVE DISTRIBUTION (in %) ===\")\n",
"print(gap_dist)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5abee764-b890-4ea1-8f98-5a0ff1512611",
"metadata": {},
"outputs": [],
"source": [
"from plotly.subplots import make_subplots\n",
"import plotly.graph_objects as go\n",
"\n",
"# --- 1. DEFINE PERIODS ---\n",
"merged[\"period2\"] = np.where(\n",
" merged[\"Centralisation Date\"] < pd.Timestamp(\"2021-09-01\"),\n",
" \"Before Sep 2021\",\n",
" \"After Sep 2021\"\n",
")\n",
"\n",
"ruptures = merged[merged[\"rupture_flag\"] == True].copy()\n",
"\n",
"# --- 2. Ensure gap_type exists + no missing categories ---\n",
"ruptures[\"gap_type\"] = ruptures[\"gap_type\"].replace({\"zero\": \"positive\"}) # zero is equivalent to no-flow change\n",
"\n",
"# --- 3. Compute gap counts ---\n",
"gap_counts = (\n",
" ruptures.groupby([\"period2\", \"gap_type\"])\n",
" .size()\n",
" .unstack(fill_value=0)\n",
")\n",
"\n",
"# Ensure both columns exist\n",
"for col in [\"positive\", \"negative\"]:\n",
" if col not in gap_counts.columns:\n",
" gap_counts[col] = 0\n",
"\n",
"gap_counts = gap_counts[[\"positive\", \"negative\"]]\n",
"\n",
"# --- 4. Extract values ---\n",
"before_vals = gap_counts.loc[\"Before Sep 2021\"].values\n",
"after_vals = gap_counts.loc[\"After Sep 2021\"].values\n",
"\n",
"# --- 5. MAKE TWO DONUT CHARTS ---\n",
"fig = make_subplots(\n",
" rows=1, cols=2,\n",
" specs=[[{\"type\": \"pie\"}, {\"type\": \"pie\"}]],\n",
" subplot_titles=(\"Before Sep 2021\", \"After Sep 2021\")\n",
")\n",
"\n",
"fig.add_trace(\n",
" go.Pie(\n",
" labels=[\"Negative gaps\", \"Positive gaps\"],\n",
" values=before_vals,\n",
" marker_colors=[\"#E67E22\", \"#3498DB\"],\n",
" hole=0.45,\n",
" textinfo=\"label+percent\"\n",
" ),\n",
" row=1, col=1\n",
")\n",
"\n",
"fig.add_trace(\n",
" go.Pie(\n",
" labels=[\"Negative gaps\", \"Positive gaps\"],\n",
" values=after_vals,\n",
" marker_colors=[\"#E67E22\", \"#3498DB\"],\n",
" hole=0.45,\n",
" textinfo=\"label+percent\"\n",
" ),\n",
" row=1, col=2\n",
")\n",
"\n",
"fig.update_layout(\n",
" title=\"Nature des ruptures (positive / negative)\\nAvant vs Après Septembre 2021\",\n",
" showlegend=True\n",
")\n",
"\n",
"fig.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3aa3b8a0-f499-495a-9171-2e09d0bb1e5f",
"metadata": {},
"outputs": [],
"source": [
"import plotly.graph_objects as go\n",
"\n",
"# --- 1. Compute gap counts by period ---\n",
"gap_counts = (\n",
" ruptures.groupby([\"period2\", \"gap_type\"])\n",
" .size()\n",
" .unstack(fill_value=0)\n",
")\n",
"\n",
"# Ensure both columns exist\n",
"for col in [\"positive\", \"negative\"]:\n",
" if col not in gap_counts.columns:\n",
" gap_counts[col] = 0\n",
"\n",
"gap_counts = gap_counts[[\"positive\", \"negative\"]]\n",
"\n",
"# --- 2. Extract values ---\n",
"before_vals = gap_counts.loc[\"Before Sep 2021\"].values\n",
"after_vals = gap_counts.loc[\"After Sep 2021\"].values\n",
"\n",
"# --- 3. Plot : TWO PIE CHARTS side by side ---\n",
"fig = make_subplots(\n",
" rows=1, cols=2,\n",
" specs=[[{\"type\": \"pie\"}, {\"type\": \"pie\"}]],\n",
" subplot_titles=(\"Before 2021\", \"After 2021\")\n",
")\n",
"\n",
"fig.add_trace(\n",
" go.Pie(\n",
" labels=[\"Negative gaps\", \"Positive gaps\"],\n",
" values=before_vals,\n",
" marker_colors=[\"#E67E22\", \"#3498DB\"],\n",
" hole=0.35\n",
" ),\n",
" row=1, col=1\n",
")\n",
"\n",
"fig.add_trace(\n",
" go.Pie(\n",
" labels=[\"Negative gaps\", \"Positive gaps\"],\n",
" values=after_vals,\n",
" marker_colors=[\"#E67E22\", \"#3498DB\"],\n",
" hole=0.35\n",
" ),\n",
" row=1, col=2\n",
")\n",
"\n",
"fig.update_layout(\n",
" title=\"Répartition des ruptures (positive / negative)\\nAvant vs Après 2021\"\n",
")\n",
"\n",
"fig.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d4f0dc74-649d-4105-9a1a-44a18d126a3c",
"metadata": {},
"outputs": [],
"source": [
"import plotly.graph_objects as go\n",
"\n",
"# --- 1. Define periods ---\n",
"merged[\"period2\"] = np.where(\n",
" merged[\"Centralisation Date\"] < pd.Timestamp(\"2021-09-01\"),\n",
" \"Before Sep 2021\",\n",
" \"After Sep 2021\"\n",
")\n",
"\n",
"# --- 2. Keep only ruptures ---\n",
"ruptures = merged[merged[\"rupture_flag\"] == True].copy()\n",
"\n",
"# --- 3. Count ruptures per period ---\n",
"rupture_counts = ruptures[\"period2\"].value_counts().reindex(\n",
" [\"Before Sep 2021\", \"After Sep 2021\"]\n",
").fillna(0)\n",
"\n",
"# --- 4. Pie chart ---\n",
"fig = go.Figure(data=[\n",
" go.Pie(\n",
" labels=rupture_counts.index,\n",
" values=rupture_counts.values,\n",
" hole=0.45,\n",
" marker_colors=[\"#2ECC71\", \"#E74C3C\"],\n",
" textinfo=\"percent+value\",\n",
" )\n",
"])\n",
"\n",
"fig.update_layout(\n",
" title=\"Répartition des ruptures\"\n",
")\n",
"\n",
"fig.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ecccd73c-00a6-4ff3-b213-e85b98ec5a55",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"# 1. Filtre sur la période post-Sept 2021\n",
"cutoff = pd.Timestamp(\"2021-09-01\")\n",
"post = merged[merged[\"Centralisation Date\"] >= cutoff].copy()\n",
"\n",
"# 2. On ne garde que les ruptures\n",
"post_rupt = post[post[\"rupture_flag\"] == True].copy()\n",
"\n",
"# 3. Gap absolu + gap relatif (% du stock)\n",
"post_rupt[\"gap_abs\"] = post_rupt[\"gap\"].abs()\n",
"post_rupt[\"gap_rel\"] = post_rupt[\"gap_abs\"] / post_rupt[\"Quantity - AUM\"].replace(0, np.nan)\n",
"\n",
"# 4. Percentiles globaux\n",
"p90 = post_rupt[\"gap_abs\"].quantile(0.90)\n",
"p95 = post_rupt[\"gap_abs\"].quantile(0.95)\n",
"p99 = post_rupt[\"gap_abs\"].quantile(0.99)\n",
"\n",
"# 5. Classification automatique\n",
"def classify_gap(gap, gap_rel, acct):\n",
" # RESET → énorme choc (technique)\n",
" if gap_abs >= p99 or gap_rel >= 0.90:\n",
" return \"reset\"\n",
"\n",
" # SPIKE → très gros gap mais isolé\n",
" if gap_abs >= p95:\n",
" return \"spike\"\n",
"\n",
" # SHIFT → décalage permanent\n",
" # Test : moyenne des gaps du compte\n",
" return None\n",
"\n",
"# Calcul du shift (décalage directionnel)\n",
"shift_info = post_rupt.groupby(\"Registrar Account - ID\")[\"gap\"].mean().rename(\"avg_gap\")\n",
"\n",
"post_rupt = post_rupt.merge(shift_info, on=\"Registrar Account - ID\", how=\"left\")\n",
"\n",
"post_rupt[\"gap_type2\"] = np.where(\n",
" post_rupt[\"gap_abs\"] >= p99, \"reset\",\n",
" np.where(post_rupt[\"gap_abs\"] >= p95, \"spike\",\n",
" np.where(post_rupt[\"avg_gap\"].abs() > post_rupt[\"gap_abs\"].median(), \"shift\", \"micro\")))\n",
" \n",
"# 6. Statistiques globales\n",
"stats = post_rupt[\"gap_type2\"].value_counts(normalize=True).round(3) * 100\n",
"print(\"\\n=== DISTRIBUTION DES TYPES DE GAPS POST-2021 ===\")\n",
"print(stats)\n",
"\n",
"# 7. Stats par client\n",
"client_stats = (\n",
" post_rupt.groupby(\"Registrar Account - ID\")[\"gap_type2\"]\n",
" .value_counts(normalize=True)\n",
" .rename(\"ratio\")\n",
" .mul(100)\n",
" .reset_index()\n",
")\n",
"\n",
"# 8. Stats par ISIN\n",
"isin_stats = (\n",
" post_rupt.groupby(\"Product - Isin\")[\"gap_type2\"]\n",
" .value_counts(normalize=True)\n",
" .rename(\"ratio\")\n",
" .mul(100)\n",
" .reset_index()\n",
")\n",
"\n",
"print(\"\\n=== TOP ISIN PAR RESET ===\")\n",
"print(isin_stats[isin_stats[\"gap_type2\"]==\"reset\"].sort_values(\"ratio\", ascending=False).head(10))\n",
"\n",
"print(\"\\n=== TOP CLIENTS PAR RESET ===\")\n",
"print(client_stats[client_stats[\"gap_type2\"]==\"reset\"].sort_values(\"ratio\", ascending=False).head(10))\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c2efc5e0-bc35-4fa7-ab5d-6be616964446",
"metadata": {},
"outputs": [],
"source": [
"import plotly.graph_objects as go\n",
"\n",
"# --- Data from your output ---\n",
"labels = [\"Micro-ruptures\", \"Décalage\", \"Anomalies ponctuelles\", \"Remise à zéro\"]\n",
"values = [50.4, 44.6, 4.0, 1.0]\n",
"\n",
"# --- Pie chart ---\n",
"fig = go.Figure(\n",
" data=[go.Pie(\n",
" labels=labels,\n",
" values=values,\n",
" hole=0.35, # donut style (plus lisible)\n",
" textinfo='percent',\n",
" marker=dict(colors=[\"#3498DB\", \"#E67E22\", \"#9B59B6\", \"#E74C3C\"])\n",
" )]\n",
")\n",
"\n",
"fig.update_layout(\n",
" title=\"Typologie des ruptures depuis Septembre 2021\",\n",
" legend_title=\"Type de gap\",\n",
")\n",
"\n",
"fig.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "744e04b6-3f34-40c9-95fe-a5605e7c7f02",
"metadata": {},
"outputs": [],
"source": [
"merged[\"gap_abs\"] = merged[\"gap\"].abs()\n",
"\n",
"merged[\"gap_rel\"] = (\n",
" merged[\"gap_abs\"] /\n",
" merged[\"Quantity - AUM\"].replace(0, np.nan)\n",
")\n",
"\n",
"merged.loc[merged[\"rupture_flag\"], \"gap_rel\"].describe(\n",
" percentiles=[0.5, 0.75, 0.9, 0.95, 0.99]\n",
")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3d20625e-1045-4b7a-ab64-3381997e4131",
"metadata": {},
"outputs": [],
"source": [
"# uniquement sur les ruptures\n",
"df_r = merged[merged[\"rupture_flag\"]].copy()\n",
"\n",
"# seuils globaux (descriptifs, pas \"optimisés\")\n",
"q90 = df_r[\"gap_abs\"].quantile(0.90)\n",
"q99 = df_r[\"gap_abs\"].quantile(0.99)\n",
"\n",
"# moyenne directionnelle par compte\n",
"avg_gap_by_account = (\n",
" df_r.groupby(\"Registrar Account - ID\")[\"gap\"]\n",
" .mean()\n",
" .rename(\"avg_gap\")\n",
")\n",
"\n",
"df_r = df_r.merge(avg_gap_by_account, on=\"Registrar Account - ID\", how=\"left\")\n",
"\n",
"def classify_gap(row):\n",
" if row[\"gap_abs\"] >= q99:\n",
" return \"reset\"\n",
" if row[\"gap_abs\"] >= q90:\n",
" return \"spike\"\n",
" if abs(row[\"avg_gap\"]) > row[\"gap_abs\"]:\n",
" return \"shift\"\n",
" return \"micro\"\n",
"\n",
"df_r[\"discontinuity_type\"] = df_r.apply(classify_gap, axis=1)\n",
"df_r[\"discontinuity_type\"].value_counts(normalize=True) * 100\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "02806629-e454-4e10-82be-6e2239091088",
"metadata": {},
"outputs": [],
"source": [
"merged[\"year\"] = merged[\"Centralisation Date\"].dt.year\n",
"\n",
"yearly_stats = merged.groupby(\"year\").agg(\n",
" total_obs=(\"gap\", \"count\"),\n",
" ruptures=(\"rupture_flag\", \"sum\")\n",
").reset_index()\n",
"\n",
"yearly_stats[\"rupture_rate\"] = (\n",
" yearly_stats[\"ruptures\"] / yearly_stats[\"total_obs\"]\n",
")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2edf2c55-45e7-4aad-b4f9-5c35178abad6",
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"\n",
"df_r = merged[merged[\"rupture_flag\"]].copy()\n",
"\n",
"plt.figure(figsize=(12,4))\n",
"plt.hist(df_r[\"gap_abs\"], bins=100, log=True)\n",
"plt.title(\"Distribution of absolute gaps (log scale)\")\n",
"plt.xlabel(\"Absolute gap\")\n",
"plt.ylabel(\"Frequency (log)\")\n",
"plt.show()\n",
"\n",
"plt.figure(figsize=(12,4))\n",
"plt.hist(df_r[\"gap_rel\"].dropna(), bins=100, log=True)\n",
"plt.title(\"Distribution of relative gaps (|gap| / AUM)\")\n",
"plt.xlabel(\"Relative gap\")\n",
"plt.ylabel(\"Frequency (log)\")\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "981f2ec6-574b-41ea-b4bf-45be54aeda1f",
"metadata": {},
"outputs": [],
"source": [
"plt.figure(figsize=(10,4))\n",
"plt.plot(yearly_stats[\"year\"], yearly_stats[\"rupture_rate\"], marker=\"o\")\n",
"plt.title(\"Evolution of AUM–Flow inconsistency rate over time\")\n",
"plt.xlabel(\"Year\")\n",
"plt.ylabel(\"Rupture rate\")\n",
"plt.grid(True)\n",
"plt.show()\n"
]
}
],
"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": "3.13.11"
}
},
"nbformat": 4,
"nbformat_minor": 5
}