diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..6a89308 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +**/csv_outputs \ No newline at end of file diff --git a/data_exploration/Japan.csv b/data_exploration/Japan.csv new file mode 100644 index 0000000..456505e --- /dev/null +++ b/data_exploration/Japan.csv @@ -0,0 +1,261 @@ +,Registrar Account - ID,Product - Isin,Centralisation Date,Quantity - AUM,Quantity - NetFlows,prev_stock,prev_netflows,expected_stock,gap,rupture_flag,year,month,country +132461,200000693,FR0011443852,2015-01-31,2510667.0,0.0,,0.0,,,False,2015,1,JAPAN +132462,200000693,FR0011443852,2015-02-28,2474070.0,0.0,2510667.0,0.0,2510667.0,-36597.0,True,2015,2,JAPAN +132463,200000693,FR0011443852,2015-03-31,2439395.0,-405.0,2474070.0,0.0,2474070.0,-34675.0,True,2015,3,JAPAN +132464,200000693,FR0011443852,2015-04-30,2442855.0,5689.0,2439395.0,-405.0,2438990.0,3865.0,True,2015,4,JAPAN 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+132589,200000693,FR0011443852,2025-09-30,365428.0,0.0,370198.0,0.0,370198.0,-4770.0,True,2025,9,JAPAN +132590,200000693,FR0011443852,2025-10-31,356845.0,0.0,365428.0,0.0,365428.0,-8583.0,True,2025,10,JAPAN +132591,200000694,FR0011443860,2015-01-31,1062484.0,0.0,,0.0,,,False,2015,1,JAPAN +132592,200000694,FR0011443860,2015-02-28,1067835.0,0.0,1062484.0,0.0,1062484.0,5351.0,True,2015,2,JAPAN +132593,200000694,FR0011443860,2015-03-31,1058887.0,1670.0,1067835.0,0.0,1067835.0,-8948.0,True,2015,3,JAPAN +132594,200000694,FR0011443860,2015-04-30,1061396.0,811.0,1058887.0,1670.0,1060557.0,839.0,True,2015,4,JAPAN +132595,200000694,FR0011443860,2015-05-31,1057889.0,0.0,1061396.0,811.0,1062207.0,-4318.0,True,2015,5,JAPAN +132596,200000694,FR0011443860,2015-06-30,1058254.0,-4352.0,1057889.0,0.0,1057889.0,365.0,True,2015,6,JAPAN +132597,200000694,FR0011443860,2015-07-31,1081821.0,-1387.0,1058254.0,-4352.0,1053902.0,27919.0,True,2015,7,JAPAN +132598,200000694,FR0011443860,2015-08-31,1099994.0,-239.0,1081821.0,-1387.0,1080434.0,19560.0,True,2015,8,JAPAN +132599,200000694,FR0011443860,2015-09-30,1114470.0,5765.0,1099994.0,-239.0,1099755.0,14715.0,True,2015,9,JAPAN +132600,200000694,FR0011443860,2015-10-31,1127783.0,0.0,1114470.0,5765.0,1120235.0,7548.0,True,2015,10,JAPAN +132601,200000694,FR0011443860,2015-11-30,1133959.0,-1385.0,1127783.0,0.0,1127783.0,6176.0,True,2015,11,JAPAN +132602,200000694,FR0011443860,2015-12-31,1135296.0,0.0,1133959.0,-1385.0,1132574.0,2722.0,True,2015,12,JAPAN +132603,200000694,FR0011443860,2016-01-31,1148268.0,0.0,1135296.0,0.0,1135296.0,12972.0,True,2016,1,JAPAN +132604,200000694,FR0011443860,2016-02-29,1145528.0,-5693.0,1148268.0,0.0,1148268.0,-2740.0,True,2016,2,JAPAN +132605,200000694,FR0011443860,2016-03-31,1142327.0,-89.0,1145528.0,-5693.0,1139835.0,2492.0,True,2016,3,JAPAN +132606,200000694,FR0011443860,2016-04-30,1150083.0,0.0,1142327.0,-89.0,1142238.0,7845.0,True,2016,4,JAPAN +132607,200000694,FR0011443860,2016-05-31,1150807.0,-1063.0,1150083.0,0.0,1150083.0,724.0,True,2016,5,JAPAN +132608,200000694,FR0011443860,2016-06-30,1156376.0,-87.0,1150807.0,-1063.0,1149744.0,6632.0,True,2016,6,JAPAN +132609,200000694,FR0011443860,2016-07-31,1159169.0,0.0,1156376.0,-87.0,1156289.0,2880.0,True,2016,7,JAPAN +132610,200000694,FR0011443860,2016-08-31,1157153.0,-798.0,1159169.0,0.0,1159169.0,-2016.0,True,2016,8,JAPAN +132611,200000694,FR0011443860,2016-09-30,1143905.0,-430.0,1157153.0,-798.0,1156355.0,-12450.0,True,2016,9,JAPAN +132612,200000694,FR0011443860,2016-10-31,1144106.0,18.0,1143905.0,-430.0,1143475.0,631.0,True,2016,10,JAPAN +132613,200000694,FR0011443860,2016-11-30,1139796.0,-2171.0,1144106.0,18.0,1144124.0,-4328.0,True,2016,11,JAPAN +132614,200000694,FR0011443860,2016-12-31,1125211.0,0.0,1139796.0,-2171.0,1137625.0,-12414.0,True,2016,12,JAPAN +132615,200000694,FR0011443860,2017-01-31,1115557.0,-426.0,1125211.0,0.0,1125211.0,-9654.0,True,2017,1,JAPAN +132616,200000694,FR0011443860,2017-02-28,1104006.0,0.0,1115557.0,-426.0,1115131.0,-11125.0,True,2017,2,JAPAN +132617,200000694,FR0011443860,2017-03-31,1098004.0,-212.0,1104006.0,0.0,1104006.0,-6002.0,True,2017,3,JAPAN +132618,200000694,FR0011443860,2017-04-30,1094107.0,0.0,1098004.0,-212.0,1097792.0,-3685.0,True,2017,4,JAPAN +132619,200000694,FR0011443860,2017-05-31,1069161.0,-51.0,1094107.0,0.0,1094107.0,-24946.0,True,2017,5,JAPAN +132620,200000694,FR0011443860,2017-06-30,1042065.0,-264.0,1069161.0,-51.0,1069110.0,-27045.0,True,2017,6,JAPAN +132621,200000694,FR0011443860,2017-07-31,1033838.0,-5394.0,1042065.0,-264.0,1041801.0,-7963.0,True,2017,7,JAPAN +132622,200000694,FR0011443860,2017-08-31,1025900.0,-737.0,1033838.0,-5394.0,1028444.0,-2544.0,True,2017,8,JAPAN +132623,200000694,FR0011443860,2017-09-30,1014093.0,0.0,1025900.0,-737.0,1025163.0,-11070.0,True,2017,9,JAPAN +132624,200000694,FR0011443860,2017-10-31,998924.0,71.0,1014093.0,0.0,1014093.0,-15169.0,True,2017,10,JAPAN +132625,200000694,FR0011443860,2017-11-30,988100.0,-417.0,998924.0,71.0,998995.0,-10895.0,True,2017,11,JAPAN +132626,200000694,FR0011443860,2017-12-31,972322.0,0.0,988100.0,-417.0,987683.0,-15361.0,True,2017,12,JAPAN +132627,200000694,FR0011443860,2018-01-31,958477.0,-251.0,972322.0,0.0,972322.0,-13845.0,True,2018,1,JAPAN +132628,200000694,FR0011443860,2018-02-28,948872.0,-74.0,958477.0,-251.0,958226.0,-9354.0,True,2018,2,JAPAN +132629,200000694,FR0011443860,2018-03-31,946852.0,0.0,948872.0,-74.0,948798.0,-1946.0,True,2018,3,JAPAN +132630,200000694,FR0011443860,2018-04-30,913515.0,0.0,946852.0,0.0,946852.0,-33337.0,True,2018,4,JAPAN +132631,200000694,FR0011443860,2018-05-31,923597.0,8.0,913515.0,0.0,913515.0,10082.0,True,2018,5,JAPAN +132632,200000694,FR0011443860,2018-06-30,917435.0,0.0,923597.0,8.0,923605.0,-6170.0,True,2018,6,JAPAN +132633,200000694,FR0011443860,2018-07-31,901562.0,-663.0,917435.0,0.0,917435.0,-15873.0,True,2018,7,JAPAN +132634,200000694,FR0011443860,2018-08-31,881672.0,-1458.0,901562.0,-663.0,900899.0,-19227.0,True,2018,8,JAPAN +132635,200000694,FR0011443860,2018-09-30,868968.0,0.0,881672.0,-1458.0,880214.0,-11246.0,True,2018,9,JAPAN +132636,200000694,FR0011443860,2018-10-31,848489.0,173.0,868968.0,0.0,868968.0,-20479.0,True,2018,10,JAPAN +132637,200000694,FR0011443860,2018-11-30,829892.0,-890.0,848489.0,173.0,848662.0,-18770.0,True,2018,11,JAPAN +132638,200000694,FR0011443860,2018-12-31,800603.0,0.0,829892.0,-890.0,829002.0,-28399.0,True,2018,12,JAPAN +132639,200000694,FR0011443860,2019-01-31,811569.0,-10.0,800603.0,0.0,800603.0,10966.0,True,2019,1,JAPAN +132640,200000694,FR0011443860,2019-02-28,798425.0,-489.0,811569.0,-10.0,811559.0,-13134.0,True,2019,2,JAPAN +132641,200000694,FR0011443860,2019-03-31,788472.0,0.0,798425.0,-489.0,797936.0,-9464.0,True,2019,3,JAPAN +132642,200000694,FR0011443860,2019-04-30,763506.0,0.0,788472.0,0.0,788472.0,-24966.0,True,2019,4,JAPAN +132643,200000694,FR0011443860,2019-05-31,756980.0,-722.0,763506.0,0.0,763506.0,-6526.0,True,2019,5,JAPAN +132644,200000694,FR0011443860,2019-06-30,749228.0,0.0,756980.0,-722.0,756258.0,-7030.0,True,2019,6,JAPAN +132645,200000694,FR0011443860,2019-07-31,737084.0,-925.0,749228.0,0.0,749228.0,-12144.0,True,2019,7,JAPAN +132646,200000694,FR0011443860,2019-08-31,724660.0,0.0,737084.0,-925.0,736159.0,-11499.0,True,2019,8,JAPAN +132647,200000694,FR0011443860,2019-09-30,707557.0,-510.0,724660.0,0.0,724660.0,-17103.0,True,2019,9,JAPAN +132648,200000694,FR0011443860,2019-10-31,687604.0,-65.0,707557.0,-510.0,707047.0,-19443.0,True,2019,10,JAPAN +132649,200000694,FR0011443860,2019-11-30,660661.0,0.0,687604.0,-65.0,687539.0,-26878.0,True,2019,11,JAPAN +132650,200000694,FR0011443860,2019-12-31,638384.0,0.0,660661.0,0.0,660661.0,-22277.0,True,2019,12,JAPAN +132651,200000694,FR0011443860,2020-01-31,616808.0,-329.0,638384.0,0.0,638384.0,-21576.0,True,2020,1,JAPAN +132652,200000694,FR0011443860,2020-02-29,601123.0,0.0,616808.0,-329.0,616479.0,-15356.0,True,2020,2,JAPAN +132653,200000694,FR0011443860,2020-03-31,594670.0,-1029.0,601123.0,0.0,601123.0,-6453.0,True,2020,3,JAPAN +132654,200000694,FR0011443860,2020-04-30,577106.0,0.0,594670.0,-1029.0,593641.0,-16535.0,True,2020,4,JAPAN +132655,200000694,FR0011443860,2020-05-31,572392.0,0.0,577106.0,0.0,577106.0,-4714.0,True,2020,5,JAPAN +132656,200000694,FR0011443860,2020-06-30,568684.0,-202.0,572392.0,0.0,572392.0,-3708.0,True,2020,6,JAPAN +132657,200000694,FR0011443860,2020-07-31,551478.0,-125.0,568684.0,-202.0,568482.0,-17004.0,True,2020,7,JAPAN +132658,200000694,FR0011443860,2020-08-31,539452.0,-640.0,551478.0,-125.0,551353.0,-11901.0,True,2020,8,JAPAN +132659,200000694,FR0011443860,2020-09-30,528867.0,-117.0,539452.0,-640.0,538812.0,-9945.0,True,2020,9,JAPAN +132660,200000694,FR0011443860,2020-10-31,514029.0,0.0,528867.0,-117.0,528750.0,-14721.0,True,2020,10,JAPAN +132661,200000694,FR0011443860,2020-11-30,485425.0,-5855.0,514029.0,0.0,514029.0,-28604.0,True,2020,11,JAPAN +132662,200000694,FR0011443860,2020-12-31,461947.0,0.0,485425.0,-5855.0,479570.0,-17623.0,True,2020,12,JAPAN +132663,200000694,FR0011443860,2021-01-31,447297.0,0.0,461947.0,0.0,461947.0,-14650.0,True,2021,1,JAPAN +132664,200000694,FR0011443860,2021-02-28,433033.0,0.0,447297.0,0.0,447297.0,-14264.0,True,2021,2,JAPAN +132665,200000694,FR0011443860,2021-03-31,419405.0,0.0,433033.0,0.0,433033.0,-13628.0,True,2021,3,JAPAN +132666,200000694,FR0011443860,2021-04-30,419333.0,0.0,419405.0,0.0,419405.0,-72.0,True,2021,4,JAPAN +132667,200000694,FR0011443860,2021-05-31,415593.0,0.0,419333.0,0.0,419333.0,-3740.0,True,2021,5,JAPAN +132668,200000694,FR0011443860,2021-06-30,410476.0,0.0,415593.0,0.0,415593.0,-5117.0,True,2021,6,JAPAN +132669,200000694,FR0011443860,2021-07-31,406793.0,0.0,410476.0,0.0,410476.0,-3683.0,True,2021,7,JAPAN 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"execution_count": 4, + "execution_count": 30, "id": "126c8a80-d9ad-4816-84f0-0c3d580f62c8", "metadata": {}, "outputs": [ @@ -11,7 +19,10 @@ "output_type": "stream", "text": [ "Requirement already satisfied: openpyxl in /opt/python/lib/python3.13/site-packages (3.1.5)\n", - "Requirement already satisfied: et-xmlfile in /opt/python/lib/python3.13/site-packages (from openpyxl) (2.0.0)\n" + "Requirement already satisfied: et-xmlfile in /opt/python/lib/python3.13/site-packages (from openpyxl) (2.0.0)\n", + "\n", + "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m25.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m25.3\u001b[0m\n", + "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n" ] } ], @@ -19,18 +30,20 @@ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", - "!pip install openpyxl" + "!pip install openpyxl\n", + "import os\n", + "import s3fs\n", + "import seaborn as sns\n", + "import plotly.express as px" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "ff2261fb-9516-4410-b42d-3acc8dc1a460", "metadata": {}, "outputs": [], "source": [ - "import os\n", - "import s3fs\n", "fs = s3fs.S3FileSystem(\n", " client_kwargs={'endpoint_url': 'https://'+'minio-simple.lab.groupe-genes.fr'},\n", " key = os.environ[\"AWS_ACCESS_KEY_ID\"], \n", @@ -43,7 +56,7 @@ "id": "3d36f3f0-bd40-4a83-96d1-b46d75f5a4c5", "metadata": {}, "source": [ - "# Data exploration" + "# Exploration" ] }, { @@ -56,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "60e2035c-c2f0-4c51-97df-102e67ba96ee", "metadata": {}, "outputs": [], @@ -95,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "id": "37e008b1-32d4-44be-9d23-1b90a5a26f89", "metadata": {}, "outputs": [], @@ -116,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "e67a99ea-ddf4-4627-8f48-ec183c671acb", "metadata": {}, "outputs": [ @@ -124,8 +137,359 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_11151/19230119.py:2: DtypeWarning: Columns (0,1,2,3) have mixed types. Specify dtype option on import or set low_memory=False.\n", - " flows = pd.read_csv(f, sep=\";\")\n" + "/tmp/ipykernel_5991/19230119.py:2: DtypeWarning: Columns (0,1,2,3) have mixed types. Specify dtype option on import or set low_memory=False.\n", + " flows = pd.read_csv(f, sep=\";\")\n", + "/tmp/ipykernel_5991/19230119.py:5: DtypeWarning: Columns (0,1,2,3) have mixed types. Specify dtype option on import or set low_memory=False.\n", + " stocks = pd.read_csv(f, sep=\";\")\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "================================================================================\n", + "DATASET : STOCKS\n", + "================================================================================\n", + "\n", + "Shape : (4880297, 18)\n", + "\n", + "Columns : ['Agreement - Code', 'Company - Id', 'Company - Ultimate Parent Id', 'Registrar Account - ID', 'Registrar Account - Region', 'RegistrarAccount - Country', 'Product - Asset Type', 'Product - Strategy', 'Product - Legal Status', 'Product - Is Dedie ?', 'Product - Fund', 'Product - Shareclass Type', 'Product - Shareclass Currency', 'Product - Isin', 'Centralisation Date', 'Quantity - AUM', 'Value - AUM CCY', 'Value - AUM €']\n", + "\n", + "Dtypes :\n", + " Agreement - Code object\n", + "Company - Id object\n", + "Company - Ultimate Parent Id object\n", + "Registrar Account - ID object\n", + "Registrar Account - Region object\n", + "RegistrarAccount - Country object\n", + "Product - Asset Type object\n", + "Product - Strategy object\n", + "Product - Legal Status object\n", + "Product - Is Dedie ? object\n", + "Product - Fund object\n", + "Product - Shareclass Type object\n", + "Product - Shareclass Currency object\n", + "Product - Isin object\n", + "Centralisation Date object\n", + "Quantity - AUM float64\n", + "Value - AUM CCY float64\n", + "Value - AUM € float64\n", + "dtype: object\n", + "\n", + "Missing values (%) :\n", + " Product - Asset Type 6.471553\n", + "Company - Id 2.330801\n", + "Company - Ultimate Parent Id 2.330801\n", + "Product - Strategy 0.001537\n", + "Product - Shareclass Type 0.000717\n", + "Agreement - Code 0.000000\n", + "RegistrarAccount - Country 0.000000\n", + "Registrar Account - Region 0.000000\n", + "Product - Legal Status 0.000000\n", + "Registrar Account - ID 0.000000\n", + "Product - Is Dedie ? 0.000000\n", + "Product - Fund 0.000000\n", + "Product - Shareclass Currency 0.000000\n", + "Product - Isin 0.000000\n", + "Centralisation Date 0.000000\n", + "Quantity - AUM 0.000000\n", + "Value - AUM CCY 0.000000\n", + "Value - AUM € 0.000000\n", + "dtype: float64\n", + "\n", + "Sample rows:\n", + " Agreement - Code Company - Id Company - Ultimate Parent Id \\\n", + "0 3 166.0 166.0 \n", + "1 3 166.0 166.0 \n", + "2 3 166.0 166.0 \n", + "3 3 166.0 166.0 \n", + "4 3 166.0 166.0 \n", + "\n", + " Registrar Account - ID Registrar Account - Region \\\n", + "0 200000647 France \n", + "1 200000647 France \n", + "2 200000647 France \n", + "3 200000647 France \n", + "4 200000647 France \n", + "\n", + " RegistrarAccount - Country Product - Asset Type Product - Strategy \\\n", + "0 France Diversified Patrimoine \n", + "1 France Diversified Patrimoine \n", + "2 France Diversified Patrimoine \n", + "3 France Diversified Patrimoine \n", + "4 France Diversified Patrimoine \n", + "\n", + " Product - Legal Status Product - Is Dedie ? Product - Fund \\\n", + "0 FCP NO Carmignac Patrimoine \n", + "1 FCP NO Carmignac Patrimoine \n", + "2 FCP NO Carmignac Patrimoine \n", + "3 FCP NO Carmignac Patrimoine \n", + "4 FCP NO Carmignac Patrimoine \n", + "\n", + " Product - Shareclass Type Product - Shareclass Currency Product - Isin \\\n", + "0 A EUR FR0010135103 \n", + "1 A EUR FR0010135103 \n", + "2 A EUR FR0010135103 \n", + "3 A EUR FR0010135103 \n", + "4 A EUR FR0010135103 \n", + "\n", + " Centralisation Date Quantity - AUM Value - AUM CCY Value - AUM € \n", + "0 2015-03-31 35.368 24648.6666 24648.6666 \n", + "1 2015-11-30 35.368 22413.0553 22413.0553 \n", + "2 2015-12-31 35.368 22051.2406 22051.2406 \n", + "3 2016-03-31 35.368 21626.1173 21626.1173 \n", + "4 2016-11-30 35.368 22489.4502 22489.4502 \n", + "\n", + "Unique values per column:\n", + " Value - AUM € 1697923\n", + "Value - AUM CCY 1689620\n", + "Quantity - AUM 554404\n", + "Registrar Account - ID 15532\n", + "Agreement - Code 2521\n", + "Company - Id 1970\n", + "Company - Ultimate Parent Id 1392\n", + "Product - Isin 491\n", + "Centralisation Date 130\n", + "Product - Fund 74\n", + "Product - Strategy 52\n", + "RegistrarAccount - Country 39\n", + "Registrar Account - Region 15\n", + "Product - Shareclass Type 11\n", + "Product - Legal Status 6\n", + "Product - Shareclass Currency 6\n", + "Product - Asset Type 5\n", + "Product - Is Dedie ? 2\n", + "dtype: int64\n", + "\n", + "================================================================================\n", + "DATASET : FLOWS\n", + "================================================================================\n", + "\n", + "Shape : (2574461, 24)\n", + "\n", + "Columns : ['Agreement - Code', 'Company - Id', 'Company - Ultimate Parent Id', 'Registrar Account - ID', 'Registrar Account - Region', 'RegistrarAccount - Country', 'Product - Asset Type', 'Product - Strategy', 'Product - Legal Status', 'Product - Is Dedie ?', 'Product - Fund', 'Product - Shareclass Type', 'Product - Shareclass Currency', 'Product - Isin', 'Centralisation Date', 'Quantity - Subscription', 'Quantity - Redemption', 'Quantity - NetFlows', 'Value Ccy - Subscription', 'Value Ccy - Redemption', 'Value Ccy - NetFlows', 'Value € - Subscription', 'Value € - Redemption', 'Value € - NetFlows']\n", + "\n", + "Dtypes :\n", + " Agreement - Code object\n", + "Company - Id object\n", + "Company - Ultimate Parent Id object\n", + "Registrar Account - ID object\n", + "Registrar Account - Region object\n", + "RegistrarAccount - Country object\n", + "Product - Asset Type object\n", + "Product - Strategy object\n", + "Product - Legal Status object\n", + "Product - Is Dedie ? object\n", + "Product - Fund object\n", + "Product - Shareclass Type object\n", + "Product - Shareclass Currency object\n", + "Product - Isin object\n", + "Centralisation Date object\n", + "Quantity - Subscription float64\n", + "Quantity - Redemption float64\n", + "Quantity - NetFlows float64\n", + "Value Ccy - Subscription float64\n", + "Value Ccy - Redemption float64\n", + "Value Ccy - NetFlows float64\n", + "Value € - Subscription float64\n", + "Value € - Redemption float64\n", + "Value € - NetFlows float64\n", + "dtype: object\n", + "\n", + "Missing values (%) :\n", + " Product - Asset Type 0.079589\n", + "Company - Id 0.059818\n", + "Company - Ultimate Parent Id 0.059818\n", + "Product - Strategy 0.000233\n", + "Product - Shareclass Type 0.000078\n", + "Registrar Account - ID 0.000000\n", + "RegistrarAccount - Country 0.000000\n", + "Agreement - Code 0.000000\n", + "Registrar Account - Region 0.000000\n", + "Product - Legal Status 0.000000\n", + "Product - Is Dedie ? 0.000000\n", + "Product - Fund 0.000000\n", + "Product - Shareclass Currency 0.000000\n", + "Product - Isin 0.000000\n", + "Centralisation Date 0.000000\n", + "Quantity - Subscription 0.000000\n", + "Quantity - Redemption 0.000000\n", + "Quantity - NetFlows 0.000000\n", + "Value Ccy - Subscription 0.000000\n", + "Value Ccy - Redemption 0.000000\n", + "Value Ccy - NetFlows 0.000000\n", + "Value € - Subscription 0.000000\n", + "Value € - Redemption 0.000000\n", + "Value € - NetFlows 0.000000\n", + "dtype: float64\n", + "\n", + "Sample rows:\n", + " Agreement - Code Company - Id Company - Ultimate Parent Id \\\n", + "0 003 166 166 \n", + "1 003 166 166 \n", + "2 003 166 166 \n", + "3 003 166 166 \n", + "4 003 166 166 \n", + "\n", + " Registrar Account - ID Registrar Account - Region \\\n", + "0 200127202 France \n", + "1 406533 France \n", + "2 406533 France \n", + "3 406533 France \n", + "4 406533 France \n", + "\n", + " RegistrarAccount - Country Product - Asset Type Product - Strategy \\\n", + "0 France Equity Investissement \n", + "1 France Diversified Patrimoine \n", + "2 France Equity Investissement \n", + "3 France Equity Investissement \n", + "4 France Equity Investissement \n", + "\n", + " Product - Legal Status Product - Is Dedie ? ... Centralisation Date \\\n", + "0 SICAV NO ... 2020-11-05 \n", + "1 FCP NO ... 2015-03-09 \n", + "2 FCP NO ... 2016-10-26 \n", + "3 FCP NO ... 2018-10-18 \n", + "4 FCP NO ... 2019-04-08 \n", + "\n", + " Quantity - Subscription Quantity - Redemption Quantity - NetFlows \\\n", + "0 1636.00 0.000 1636.000 \n", + "1 144.69 0.000 144.690 \n", + "2 0.00 -8.321 -8.321 \n", + "3 0.00 -22.083 -22.083 \n", + "4 0.00 -465.992 -465.992 \n", + "\n", + " Value Ccy - Subscription Value Ccy - Redemption Value Ccy - NetFlows \\\n", + "0 280983.00 0.00 280983.00 \n", + "1 99985.13 0.00 99985.13 \n", + "2 0.00 -9384.76 -9384.76 \n", + "3 0.00 -25227.40 -25227.40 \n", + "4 0.00 -563775.76 -563775.76 \n", + "\n", + " Value € - Subscription Value € - Redemption Value € - NetFlows \n", + "0 280983.00 0.00 280983.00 \n", + "1 99985.13 0.00 99985.13 \n", + "2 0.00 -9384.76 -9384.76 \n", + "3 0.00 -25227.40 -25227.40 \n", + "4 0.00 -563775.76 -563775.76 \n", + "\n", + "[5 rows x 24 columns]\n", + "\n", + "Unique values per column:\n", + " Value € - NetFlows 2018916\n", + "Value Ccy - NetFlows 1972319\n", + "Value € - Redemption 1323531\n", + "Value Ccy - Redemption 1296468\n", + "Value € - Subscription 955890\n", + "Value Ccy - Subscription 926633\n", + "Quantity - NetFlows 667586\n", + "Quantity - Redemption 374378\n", + "Quantity - Subscription 359661\n", + "Registrar Account - ID 9805\n", + "Centralisation Date 2780\n", + "Company - Id 1929\n", + "Agreement - Code 1626\n", + "Company - Ultimate Parent Id 1283\n", + "Product - Isin 474\n", + "Product - Fund 70\n", + "Product - Strategy 49\n", + "RegistrarAccount - Country 34\n", + "Registrar Account - Region 15\n", + "Product - Shareclass Type 10\n", + "Product - Shareclass Currency 6\n", + "Product - Legal Status 6\n", + "Product - Asset Type 5\n", + "Product - Is Dedie ? 2\n", + "dtype: int64\n", + "\n", + "================================================================================\n", + "DATASET : NAV/PRICES\n", + "================================================================================\n", + "\n", + "Shape : (30333, 13)\n", + "\n", + "Columns : ['NavDate', 'LegalForm', 'Cod', 'PortfolioName', 'PTFCurrency', 'PortfolioAum_Eur', 'ShareClassIsin', 'ShareClassName', 'ShareClassCurrency', 'ShareClassPrice', 'NumberOfShares', 'ShareClassAumLocalCur', 'ShareClassAum_EUR']\n", + "\n", + "Dtypes :\n", + " 0\n", + "NavDate object\n", + "LegalForm object\n", + "Cod object\n", + "PortfolioName object\n", + "PTFCurrency object\n", + "PortfolioAum_Eur object\n", + "ShareClassIsin object\n", + "ShareClassName object\n", + "ShareClassCurrency object\n", + "ShareClassPrice object\n", + "NumberOfShares object\n", + "ShareClassAumLocalCur object\n", + "ShareClassAum_EUR object\n", + "dtype: object\n", + "\n", + "Missing values (%) :\n", + " 0\n", + "NavDate 0.0\n", + "LegalForm 0.0\n", + "Cod 0.0\n", + "PortfolioName 0.0\n", + "PTFCurrency 0.0\n", + "PortfolioAum_Eur 0.0\n", + "ShareClassIsin 0.0\n", + "ShareClassName 0.0\n", + "ShareClassCurrency 0.0\n", + "ShareClassPrice 0.0\n", + "NumberOfShares 0.0\n", + "ShareClassAumLocalCur 0.0\n", + "ShareClassAum_EUR 0.0\n", + "dtype: float64\n", + "\n", + "Sample rows:\n", + " 0 NavDate LegalForm Cod PortfolioName \\\n", + "0 31/12/2009 SICAV CC Carmignac Portfolio Climate Transition \n", + "1 31/12/2009 SICAV CFB Carmignac Portfolio Flexible Bond \n", + "2 31/12/2009 FCP CCT Carmignac Court Terme \n", + "3 31/12/2009 FCP CE Carmignac Emergents \n", + "4 31/12/2009 SICAV CAD Carmignac Portfolio Asia Discovery \n", + "\n", + "0 PTFCurrency PortfolioAum_Eur ShareClassIsin ShareClassName \\\n", + "0 EUR 941059600 LU0164455502 A EUR ACC \n", + "1 EUR 57063272.31 LU0336084032 A EUR ACC \n", + "2 EUR 788828666.5 FR0010149161 A EUR ACC \n", + "3 EUR 1508087050 FR0010149302 A EUR ACC \n", + "4 EUR 149490224.2 LU0336083810 A EUR ACC \n", + "\n", + "0 ShareClassCurrency ShareClassPrice NumberOfShares ShareClassAumLocalCur \\\n", + "0 EUR 287.21 3276555.83 941059600 \n", + "1 EUR 1016.833 56118.62745 57063272.31 \n", + "2 EUR 3687.84 213899.9161 788828666.5 \n", + "3 EUR 559.82 2693878.478 1508087050 \n", + "4 EUR 884.9 168934.5962 149490224.2 \n", + "\n", + "0 ShareClassAum_EUR \n", + "0 941059600 \n", + "1 57063272.31 \n", + "2 788828666.5 \n", + "3 1508087050 \n", + "4 149490224.2 \n", + "\n", + "Unique values per column:\n", + " 0\n", + "ShareClassAum_EUR 30211\n", + "ShareClassAumLocalCur 30032\n", + "NumberOfShares 28910\n", + "ShareClassPrice 14747\n", + "PortfolioAum_Eur 5505\n", + "ShareClassIsin 416\n", + "NavDate 210\n", + "ShareClassName 90\n", + "Cod 55\n", + "PortfolioName 55\n", + "LegalForm 6\n", + "ShareClassCurrency 6\n", + "PTFCurrency 2\n", + "dtype: int64\n" ] } ], @@ -149,7 +513,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "id": "9bc92c9f-216c-475e-bfb8-edc1a4e839f6", "metadata": {}, "outputs": [ @@ -295,13 +659,13 @@ "\n", "# 8. SAVE INTERMEDIATE\n", "\n", - "client_behavior.to_csv(\"client_behavior.csv\", index=False)\n", - "fund_behavior.to_csv(\"fund_behavior.csv\", index=False)" + "client_behavior.to_csv(\"csv_outputs/client_behavior.csv\", index=False)\n", + "fund_behavior.to_csv(\"csv_outputs/fund_behavior.csv\", index=False)" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "id": "afb51598-3a7b-41f2-8d25-5b4b8bfb1c8a", "metadata": {}, "outputs": [ @@ -328,10 +692,10 @@ "print(\"Flows only ISIN :\", len(flows_only))\n", "print(\"Missing NAV :\", len(missing_nav))\n", "\n", - "pd.DataFrame({\"isin\": list(valid_full)}).to_csv(\"isin_full.csv\", index=False)\n", - "pd.DataFrame({\"isin\": list(stocks_only)}).to_csv(\"isin_stocks_only.csv\", index=False)\n", - "pd.DataFrame({\"isin\": list(flows_only)}).to_csv(\"isin_flows_only.csv\", index=False)\n", - "pd.DataFrame({\"isin\": list(missing_nav)}).to_csv(\"isin_missing_nav.csv\", index=False)\n", + "pd.DataFrame({\"isin\": list(valid_full)}).to_csv(\"csv_outputs/isin_full.csv\", index=False)\n", + "pd.DataFrame({\"isin\": list(stocks_only)}).to_csv(\"csv_outputs/isin_stocks_only.csv\", index=False)\n", + "pd.DataFrame({\"isin\": list(flows_only)}).to_csv(\"csv_outputs/isin_flows_only.csv\", index=False)\n", + "pd.DataFrame({\"isin\": list(missing_nav)}).to_csv(\"csv_outputs/isin_missing_nav.csv\", index=False)\n", "\n", "print(\"All ISIN groups saved into 4 separate files.\")\n", "\n" @@ -339,7 +703,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "id": "61e0c71a-a1c6-4ed8-ba15-b7a9badc4d4a", "metadata": {}, "outputs": [ @@ -392,12 +756,12 @@ "\n", "print(client_behavior.head())\n", "\n", - "client_behavior.to_csv(\"client_behavior_clean.csv\", index=False)\n" + "client_behavior.to_csv(\"csv_outputs/client_behavior.csv\", index=False)\n" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "id": "8ee7e911-eb73-4846-b545-661140411c1b", "metadata": {}, "outputs": [ @@ -405,7 +769,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_1219/1645623303.py:17: RuntimeWarning: invalid value encountered in scalar divide\n", + "/tmp/ipykernel_5991/1645623303.py:17: RuntimeWarning: invalid value encountered in scalar divide\n", " .apply(lambda x: x[\"Value - AUM €\"].max() / x[\"Value - AUM €\"].sum()) \\\n" ] }, @@ -451,7 +815,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_1219/1645623303.py:17: FutureWarning: 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", + "/tmp/ipykernel_5991/1645623303.py:17: FutureWarning: 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", " .apply(lambda x: x[\"Value - AUM €\"].max() / x[\"Value - AUM €\"].sum()) \\\n" ] } @@ -485,7 +849,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "id": "76f6fa0d-9d7a-4145-af1c-986d83947f91", "metadata": {}, "outputs": [ @@ -514,7 +878,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "e9bb67ab-9029-4ace-b960-b3d6e0b8683c", "metadata": {}, "outputs": [ @@ -659,7 +1023,7 @@ "client_master[\"region\"] = client_master[\"region\"].fillna(\"UNKNOWN\")\n", "\n", "# 7. Export\n", - "client_master.to_csv(\"client_master.csv\", index=False)\n", + "client_master.to_csv(\"csv_outputs/client_master.csv\", index=False)\n", "\n", "print(client_master.head())\n", "print(client_master.describe(include='all'))\n" @@ -670,12 +1034,12 @@ "id": "fb1e98a5-6ab4-4371-ba45-6558ff38c839", "metadata": {}, "source": [ - "Détection des ruptures" + "# Détection des ruptures" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "id": "6bdd8077-c8e0-451d-a7b8-15a2705ad196", "metadata": {}, "outputs": [], @@ -745,22 +1109,13 @@ "rupture_summary.head(10)\n", "\n", "rupture_summary_asc = rupture_summary.sort_values(\"rupture_ratio\", ascending=True)\n", - "rupture_summary_asc.to_csv('rupture.csv')" + "rupture_summary_asc.to_csv('csv_outputs/rupture.csv')\n", + "merged.to_csv('csv_outputs/merged.csv')" ] }, { "cell_type": "code", - "execution_count": 19, - "id": "9e32fd6b-4754-4196-9487-ffdc0bb4fc06", - "metadata": {}, - "outputs": [], - "source": [ - "merged.to_csv('merged.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "71cd67aa-f4b9-489e-b928-defeca459cb6", "metadata": {}, "outputs": [ @@ -914,7 +1269,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 17, "id": "72332a7e-0ab0-474b-aac7-b52ebbba7a8b", "metadata": {}, "outputs": [ @@ -993,272 +1348,7 @@ "execution_count": 21, "id": "31407450-a833-4fce-8b0b-dba1b1de585f", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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31804365096FR00101491201291300.992308844.519
31800365096FR00101489811291300.992308962.783
\n", - "
" - ], - "text/plain": [ - " Registrar Account - ID Product - Isin n_ruptures obs rupture_ratio \\\n", - "17027 200127410 FR0010135103 434 436 0.995413 \n", - "17029 200127410 FR0010148981 317 319 0.993730 \n", - "68901 PRIVATE CLIENT LU0992630599 154 155 0.993548 \n", - "39099 366441 FR0010135103 142 143 0.993007 \n", - "39101 366441 FR0010148981 142 143 0.993007 \n", - "3083 200001928 LU0992624949 129 130 0.992308 \n", - "2080 200001349 FR0010149120 129 130 0.992308 \n", - "3084 200001928 LU0992625839 129 130 0.992308 \n", - "31744 365095 FR0010149120 129 130 0.992308 \n", - "2085 200001349 FR0010149302 129 130 0.992308 \n", - "65735 422329 FR0010306142 129 130 0.992308 \n", - "3129 200001939 LU0592698954 129 130 0.992308 \n", - "2090 200001349 FR0011269083 129 130 0.992308 \n", - "2086 200001349 FR0010306142 129 130 0.992308 \n", - "65730 422329 FR0010149120 129 130 0.992308 \n", - "2108 200001349 LU0336083497 129 130 0.992308 \n", - "65618 422310 FR0010149120 129 130 0.992308 \n", - "65613 422310 FR0010135103 129 130 0.992308 \n", - "31804 365096 FR0010149120 129 130 0.992308 \n", - "31800 365096 FR0010148981 129 130 0.992308 \n", - "\n", - " max_gap \n", - "17027 295985.420 \n", - "17029 67134.706 \n", - "68901 529752.634 \n", - "39099 439160.588 \n", - "39101 86246.897 \n", - "3083 110779.418 \n", - "2080 23881.992 \n", - "3084 12675.630 \n", - "31744 22990.942 \n", - "2085 412.499 \n", - "65735 18289.694 \n", - "3129 57179.957 \n", - "2090 29403.491 \n", - "2086 9417.847 \n", - "65730 20342.726 \n", - "2108 592.246 \n", - "65618 6006.071 \n", - "65613 4258.656 \n", - "31804 844.519 \n", - "31800 962.783 " - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# 1. Prepare stock dataset ISIN-by-ISIN\n", "stocks_isin = stocks[[\n", @@ -1326,12 +1416,14 @@ " \"rupture_ratio\", ascending=False\n", ")\n", "\n", - "rupture_isin_summary.head(20)\n" + "rupture_isin_summary.head(20)\n", + "\n", + "rupture_isin_summary.to_csv('csv_outputs/rupture_isin_summary.csv')\n" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 20, "id": "baa4b6cd-887d-45a6-af27-253a9aa8710f", "metadata": {}, "outputs": [ @@ -1341,7 +1433,7 @@ "[]" ] }, - "execution_count": 22, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -1392,7 +1484,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "id": "0b834da2-f781-476d-84a6-aebb38fb8dac", "metadata": {}, "outputs": [ @@ -1408,9 +1500,6 @@ } ], "source": [ - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", "df = merged_isin.copy()\n", "\n", "# Ajouter année / mois\n", @@ -1453,14 +1542,11 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 27, "id": "aa5862ab-ec8e-47f8-8cb0-cd51503efed8", "metadata": {}, "outputs": [], "source": [ - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", "df = merged_isin.copy()\n", "\n", "# Ajouter year / month au cas où\n", @@ -2383,8 +2469,7 @@ } } } - }, - "image/png": 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" + } }, "metadata": {}, "output_type": "display_data" @@ -2431,7 +2516,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 32, "id": "e1c114db-5fbd-4cd3-a897-b9d4c96053fd", "metadata": {}, "outputs": [], @@ -2441,7 +2526,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 33, "id": "95bc353d-e883-4989-aaca-1b3c9b51ee5a", "metadata": {}, "outputs": [ @@ -2551,7 +2636,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 35, "id": "425b36d0-c92a-4405-be28-35b1fc292fec", "metadata": {}, "outputs": [ @@ -2587,7 +2672,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -2628,7 +2713,7 @@ "\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.xlim(-0.5e7, 0.5e7)\n", "plt.title(\"Distribution des gaps de rupture en 2021\")\n", "plt.xlabel(\"Gap (AUM_{t} − Expected AUM_{t})\")\n", "plt.show()\n" @@ -2636,7 +2721,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 36, "id": "df9e0005-93f2-4885-baef-2e54921a42f4", "metadata": {}, "outputs": [