{
"cells": [
{
"cell_type": "raw",
"id": "d1d46dcb",
"metadata": {},
"source": [
"---\n",
"title: \"NON-PARAMETRIC INDIVIDUAL CLAIM RESERVING IN INSURANCE\"\n",
"subtitle: \"Notebook 1 of 3: Simulating phone insurance data\"\n",
"output:\n",
" rmdformats::readthedown:\n",
" number_sections: true \n",
"\n",
"css: baudry.css\n",
"code_folding: show\n",
"\n",
"date: \"November 2020\"\n",
"---"
]
},
{
"cell_type": "markdown",
"id": "ee0f6283",
"metadata": {},
"source": [
"# R: Baudry ML Reserving Pt 1\n",
"\n",
"*This article was originally created by Nigel Carpenter and published in the [General Insurance Machine Learning for Reserving Working Party (“MLR-WP”) blog](https://institute-and-faculty-of-actuaries.github.io/mlr-blog/). The MLR-WP is an international research group on machine learning techniques to reserving, with over 50 actuaries from around the globe. The goal of the group is to bring machine learning techniques into widespread adoption ‘on the ground’ by identifying what the barriers are, communicating any benefits, and helping develop the research techniques in pragmatic ways. Whilst some articles have been brought into this cookbook, consider exploring the [blog](https://institute-and-faculty-of-actuaries.github.io/mlr-blog/) further for additional content including detailed walkthroughs of more advanced models.*\n",
"\n",
"# Introduction\n",
"\n",
"This is the first notebook of a series of three that outlines and elaborates upon code used to replicate the central scenario in the paper of Maximilien Baudry \"NON-PARAMETRIC INDIVIDUAL\n",
"CLAIM RESERVING IN INSURANCE\" ([Presentation](https://www.institutdesactuaires.com/global/gene/link.php?doc_id=11747&fg=1) [Paper](http://www.ressources-actuarielles.net/EXT/ISFA/1226.nsf/0/6b3d579479584e35c12581eb00468777/$FILE/Reserving-article.pdf))\n",
"\n",
"Below we step through the process to create a single simulated dataset, as set out in Section 5 of Baudry's paper. Having stepped through the data creation process, at the end, we present the code in the form of a function that returns a simulated policy and claim dataset. \n",
"\n",
"The second notebook details the process for creating a reserving database and the third outlines the process for creating reserves using machine learning.\n",
"\n",
"Before we start we import a few pre-requisite R packages."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "d3eb5e09",
"metadata": {
"echo": true,
"message": false,
"warning": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n",
"Attaching package: ‘lubridate’\n",
"\n",
"\n",
"The following objects are masked from ‘package:data.table’:\n",
"\n",
" hour, isoweek, mday, minute, month, quarter, second, wday, week,\n",
" yday, year\n",
"\n",
"\n",
"The following objects are masked from ‘package:base’:\n",
"\n",
" date, intersect, setdiff, union\n",
"\n",
"\n",
"\n",
"Attaching package: ‘cowplot’\n",
"\n",
"\n",
"The following object is masked from ‘package:lubridate’:\n",
"\n",
" stamp\n",
"\n",
"\n"
]
}
],
"source": [
"# Importing packages\n",
"library(data.table)\n",
"library(magrittr)\n",
"library(lubridate)\n",
"library(ggplot2)\n",
"library(cowplot)\n",
"library(repr)\n",
"library(kableExtra)\n",
"library(IRdisplay)"
]
},
{
"cell_type": "markdown",
"id": "415cb225",
"metadata": {},
"source": [
"# Create Policy Data set\n",
"We start by simulating number of policies sold by day and by policy coverage type. \n",
"\n",
"## Policy count by date"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "4d741a41",
"metadata": {},
"outputs": [],
"source": [
"# polices sold between start 2016 to end 2017\n",
"dt_policydates <- data.table(date_UW = seq(as.Date(\"2016/1/1\"), as.Date(\"2017/12/31\"), \"day\"))\n",
"\n",
"# number of policies per day follows Poisson process with mean 700 (approx 255,500 pols per annum)\n",
"dt_policydates[, ':='(policycount = rpois(.N,700),\n",
" date_lapse = date_UW %m+% years(1),\n",
" expodays = as.integer(date_UW %m+% years(1) - date_UW),\n",
" pol_prefix = year(date_UW)*10000 + month(date_UW)*100 + mday(date_UW))]\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "acf499bd",
"metadata": {},
"source": [
"## Policy covers by date \n",
"\n",
"We then add policy coverage columns in proportions 25% Breakage, 45% Breakage and Oxidation and 30% Breakage, Oxidation and Theft."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "7622d290",
"metadata": {},
"outputs": [],
"source": [
"# Add columns defining Policy Covers \n",
"dt_policydates[, Cover_B := round(policycount * 0.25)]\n",
"dt_policydates[, Cover_BO := round(policycount * 0.45)]\n",
"dt_policydates[, Cover_BOT := policycount - Cover_B - Cover_BO]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "37112ac6",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
" \n",
" \n",
" date_UW | \n",
" policycount | \n",
" date_lapse | \n",
" expodays | \n",
" pol_prefix | \n",
" Cover_B | \n",
" Cover_BO | \n",
" Cover_BOT | \n",
"
\n",
" \n",
"\n",
" \n",
" 2016-01-01 | \n",
" 693 | \n",
" 2017-01-01 | \n",
" 366 | \n",
" 20160101 | \n",
" 173 | \n",
" 312 | \n",
" 208 | \n",
"
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" 2016-01-02 | \n",
" 690 | \n",
" 2017-01-02 | \n",
" 366 | \n",
" 20160102 | \n",
" 172 | \n",
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" 208 | \n",
"
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" \n",
" 2016-01-03 | \n",
" 716 | \n",
" 2017-01-03 | \n",
" 366 | \n",
" 20160103 | \n",
" 179 | \n",
" 322 | \n",
" 215 | \n",
"
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" 2016-01-04 | \n",
" 714 | \n",
" 2017-01-04 | \n",
" 366 | \n",
" 20160104 | \n",
" 178 | \n",
" 321 | \n",
" 215 | \n",
"
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" \n",
" 2016-01-05 | \n",
" 727 | \n",
" 2017-01-05 | \n",
" 366 | \n",
" 20160105 | \n",
" 182 | \n",
" 327 | \n",
" 218 | \n",
"
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" \n",
" 2016-01-06 | \n",
" 763 | \n",
" 2017-01-06 | \n",
" 366 | \n",
" 20160106 | \n",
" 191 | \n",
" 343 | \n",
" 229 | \n",
"
\n",
"\n",
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"kable(head(dt_policydates), \"html\") %>% \n",
" kable_styling(\"striped\") %>%\n",
" scroll_box(width = \"100%\") %>%\n",
" as.character() %>%\n",
" display_html()"
]
},
{
"cell_type": "markdown",
"id": "1a16e9e0",
"metadata": {},
"source": [
"## Policy transaction file\n",
"We then create a policy transaction file containing 1 row per policy, with columns to indicate policy coverage details. \n",
"\n",
"### Policy date & number \n",
"The first step is to create a policy table with 1 row per policy and underwriting date. "
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "cc86aac2",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" date_UW | \n",
" pol_prefix | \n",
" pol_seq | \n",
" pol_number | \n",
"
\n",
" \n",
"\n",
" \n",
" 2016-01-01 | \n",
" 20160101 | \n",
" 1 | \n",
" 201601010001 | \n",
"
\n",
" \n",
" 2016-01-01 | \n",
" 20160101 | \n",
" 2 | \n",
" 201601010002 | \n",
"
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" \n",
" 2016-01-01 | \n",
" 20160101 | \n",
" 3 | \n",
" 201601010003 | \n",
"
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" \n",
" 2016-01-01 | \n",
" 20160101 | \n",
" 4 | \n",
" 201601010004 | \n",
"
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" \n",
" 2016-01-01 | \n",
" 20160101 | \n",
" 5 | \n",
" 201601010005 | \n",
"
\n",
" \n",
" 2016-01-01 | \n",
" 20160101 | \n",
" 6 | \n",
" 201601010006 | \n",
"
\n",
"\n",
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# repeat rows for each policy by UW-Date\n",
"dt_policy <- dt_policydates[rep(1:.N, policycount),c(\"date_UW\", \"pol_prefix\"), with = FALSE][,pol_seq:=1:.N, by=pol_prefix]\n",
"\n",
"# Create a unique policy number \n",
"dt_policy[, pol_number := as.character(pol_prefix * 10000 + pol_seq)]\n",
"\n",
"kable(head(dt_policy), \"html\") %>%\n",
" kable_styling(\"striped\") %>%\n",
" scroll_box(width = \"100%\") %>%\n",
" as.character() %>%\n",
" display_html()"
]
},
{
"cell_type": "markdown",
"id": "918e1654",
"metadata": {},
"source": [
"### Policy coverage type\n",
"Then we add the policy coverage details appropriate to each row."
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "4c11acd9",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" date_UW | \n",
" pol_number | \n",
" date_lapse | \n",
" expodays | \n",
" Cover | \n",
"
\n",
" \n",
"\n",
" \n",
" 2016-01-01 | \n",
" 201601010001 | \n",
" 2017-01-01 | \n",
" 366 | \n",
" B | \n",
"
\n",
" \n",
" 2016-01-01 | \n",
" 201601010002 | \n",
" 2017-01-01 | \n",
" 366 | \n",
" B | \n",
"
\n",
" \n",
" 2016-01-01 | \n",
" 201601010003 | \n",
" 2017-01-01 | \n",
" 366 | \n",
" B | \n",
"
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" \n",
" 2016-01-01 | \n",
" 201601010004 | \n",
" 2017-01-01 | \n",
" 366 | \n",
" B | \n",
"
\n",
" \n",
" 2016-01-01 | \n",
" 201601010005 | \n",
" 2017-01-01 | \n",
" 366 | \n",
" B | \n",
"
\n",
" \n",
" 2016-01-01 | \n",
" 201601010006 | \n",
" 2017-01-01 | \n",
" 366 | \n",
" B | \n",
"
\n",
"\n",
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# set join keys\n",
"setkey(dt_policy,'date_UW')\n",
"setkey(dt_policydates,'date_UW') \n",
"\n",
"# remove pol_prefix before join\n",
"dt_policydates[, pol_prefix := NULL] \n",
"\n",
"# join cover from summary file (dt_policydates)\n",
"dt_policy <- dt_policy[dt_policydates] \n",
"\n",
"# now create Cover field for each policy row\n",
"dt_policy[,Cover := 'BO']\n",
"dt_policy[pol_seq <= policycount- Cover_BO,Cover := 'BOT']\n",
"dt_policy[pol_seq <= Cover_B,Cover := 'B'] \n",
"\n",
"dt_policy[, Cover_B := as.factor(Cover)] \n",
"\n",
"# remove interim calculation fields\n",
"dt_policy[, ':='(pol_prefix = NULL,\n",
" policycount = NULL,\n",
" pol_seq = NULL,\n",
" Cover_B = NULL,\n",
" Cover_BOT = NULL,\n",
" Cover_BO = NULL)]\n",
"\n",
"# check output\n",
"kable(head(dt_policy), \"html\") %>%\n",
" kable_styling(\"striped\") %>%\n",
" scroll_box(width = \"100%\") %>%\n",
" as.character() %>%\n",
" display_html()\n"
]
},
{
"cell_type": "markdown",
"id": "4bcbc329",
"metadata": {},
"source": [
"### Policy Brand, Price, Model features \n",
"Now further details can be added to the policy dataset; such as policy brand, model and price details."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "ddff5de3",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" date_UW | \n",
" pol_number | \n",
" date_lapse | \n",
" expodays | \n",
" Cover | \n",
" Brand | \n",
" Base_Price | \n",
" Model | \n",
" Model_mult | \n",
" Price | \n",
"
\n",
" \n",
"\n",
" \n",
" 2016-01-01 | \n",
" 201601010001 | \n",
" 2017-01-01 | \n",
" 366 | \n",
" B | \n",
" 1 | \n",
" 600 | \n",
" 3 | \n",
" 1.520875 | \n",
" 913 | \n",
"
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" \n",
" 2016-01-01 | \n",
" 201601010002 | \n",
" 2017-01-01 | \n",
" 366 | \n",
" B | \n",
" 1 | \n",
" 600 | \n",
" 3 | \n",
" 1.520875 | \n",
" 913 | \n",
"
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" \n",
" 2016-01-01 | \n",
" 201601010003 | \n",
" 2017-01-01 | \n",
" 366 | \n",
" B | \n",
" 1 | \n",
" 600 | \n",
" 3 | \n",
" 1.520875 | \n",
" 913 | \n",
"
\n",
" \n",
" 2016-01-01 | \n",
" 201601010004 | \n",
" 2017-01-01 | \n",
" 366 | \n",
" B | \n",
" 1 | \n",
" 600 | \n",
" 3 | \n",
" 1.520875 | \n",
" 913 | \n",
"
\n",
" \n",
" 2016-01-01 | \n",
" 201601010005 | \n",
" 2017-01-01 | \n",
" 366 | \n",
" B | \n",
" 1 | \n",
" 600 | \n",
" 3 | \n",
" 1.520875 | \n",
" 913 | \n",
"
\n",
" \n",
" 2016-01-01 | \n",
" 201601010006 | \n",
" 2017-01-01 | \n",
" 366 | \n",
" B | \n",
" 1 | \n",
" 600 | \n",
" 3 | \n",
" 1.520875 | \n",
" 913 | \n",
"
\n",
"\n",
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Add remaining policy details\n",
"dt_policy[, Brand := rep(rep(c(1,2,3,4), c(9,6,3,2)), length.out = .N)]\n",
"dt_policy[, Base_Price := rep(rep(c(600,550,300,150), c(9,6,3,2)), length.out = .N)]\n",
"\n",
"# models types and model cost multipliers\n",
"for (eachBrand in unique(dt_policy$Brand)) {\n",
" dt_policy[Brand == eachBrand, Model := rep(rep(c(3,2,1,0), c(10, 7, 2, 1)), length.out = .N)]\n",
" dt_policy[Brand == eachBrand, Model_mult := rep(rep(c(1.15^3, 1.15^2, 1.15^1, 1.15^0), c(10, 7, 2, 1)), length.out = .N)]\n",
"}\n",
"\n",
"dt_policy[, Price := ceiling (Base_Price * Model_mult)]\n",
"\n",
"# check output\n",
"kable(head(dt_policy), \"html\") %>%\n",
" kable_styling(\"striped\") %>% \n",
" scroll_box(width = \"100%\") %>%\n",
" as.character() %>%\n",
" display_html()"
]
},
{
"cell_type": "markdown",
"id": "3f0e76dc",
"metadata": {},
"source": [
"### Tidy and save\n",
"The final step is to keep only columns of interest and save the resulting policy file."
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "83df46bd",
"metadata": {
"lines_to_next_cell": 0
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" pol_number | \n",
" date_UW | \n",
" date_lapse | \n",
" Cover | \n",
" Brand | \n",
" Model | \n",
" Price | \n",
"
\n",
" \n",
"\n",
" \n",
" 201601010001 | \n",
" 2016-01-01 | \n",
" 2017-01-01 | \n",
" B | \n",
" 1 | \n",
" 3 | \n",
" 913 | \n",
"
\n",
" \n",
" 201601010002 | \n",
" 2016-01-01 | \n",
" 2017-01-01 | \n",
" B | \n",
" 1 | \n",
" 3 | \n",
" 913 | \n",
"
\n",
" \n",
" 201601010003 | \n",
" 2016-01-01 | \n",
" 2017-01-01 | \n",
" B | \n",
" 1 | \n",
" 3 | \n",
" 913 | \n",
"
\n",
" \n",
" 201601010004 | \n",
" 2016-01-01 | \n",
" 2017-01-01 | \n",
" B | \n",
" 1 | \n",
" 3 | \n",
" 913 | \n",
"
\n",
" \n",
" 201601010005 | \n",
" 2016-01-01 | \n",
" 2017-01-01 | \n",
" B | \n",
" 1 | \n",
" 3 | \n",
" 913 | \n",
"
\n",
" \n",
" 201601010006 | \n",
" 2016-01-01 | \n",
" 2017-01-01 | \n",
" B | \n",
" 1 | \n",
" 3 | \n",
" 913 | \n",
"
\n",
"\n",
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# colums to keep\n",
"cols_policy <- c(\"pol_number\",\n",
" \"date_UW\",\n",
" \"date_lapse\",\n",
" \"Cover\",\n",
" \"Brand\",\n",
" \"Model\",\n",
" \"Price\")\n",
"\n",
"dt_policy <- dt_policy[, cols_policy, with = FALSE]\n",
"\n",
"# check output\n",
"kable(head(dt_policy), \"html\") %>%\n",
" kable_styling(\"striped\") %>%\n",
" scroll_box(width = \"100%\") %>%\n",
" as.character() %>%\n",
" display_html()\n",
"\n",
"save(dt_policy, file = \"./dt_policy.rda\")"
]
},
{
"cell_type": "markdown",
"id": "2a670dba",
"metadata": {
"lines_to_next_cell": 0
},
"source": [
"# Create claims file \n",
"## Sample Claims from Policies\n",
"We now simulate claims arising from the policy coverages. Claim rates vary by policy coverage and type. \n",
"\n",
"### Breakage Claims\n",
"We start with breakages claims and sample from the policies data set to create claims."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "e37763ea",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" pol_number | \n",
" claim_type | \n",
" claim_count | \n",
" claim_sev | \n",
"
\n",
" \n",
"\n",
" \n",
" 201706250197 | \n",
" B | \n",
" 1 | \n",
" 0.0066006 | \n",
"
\n",
" \n",
" 201702160566 | \n",
" B | \n",
" 1 | \n",
" 0.1305747 | \n",
"
\n",
" \n",
" 201703080185 | \n",
" B | \n",
" 1 | \n",
" 0.3325863 | \n",
"
\n",
" \n",
" 201709090113 | \n",
" B | \n",
" 1 | \n",
" 0.2690556 | \n",
"
\n",
" \n",
" 201604260297 | \n",
" B | \n",
" 1 | \n",
" 0.2531805 | \n",
"
\n",
" \n",
" 201707310143 | \n",
" B | \n",
" 1 | \n",
" 0.1357897 | \n",
"
\n",
"\n",
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# All policies have breakage cover\n",
"# claims uniformly sampled from policies\n",
"claim <- sample(nrow(dt_policy), size = floor(nrow(dt_policy) * 0.15))\n",
"\n",
"# Claim severity multiplier sampled from beta distribution\n",
"dt_claim <- data.table(pol_number = dt_policy[claim, pol_number],\n",
" claim_type = 'B',\n",
" claim_count = 1,\n",
" claim_sev = rbeta(length(claim), 2,5))\n",
"\n",
"# check output\n",
"kable(head(dt_claim), \"html\") %>%\n",
" kable_styling(\"striped\") %>%\n",
" scroll_box(width = \"100%\") %>%\n",
" as.character() %>%\n",
" display_html()"
]
},
{
"cell_type": "markdown",
"id": "f38e2063",
"metadata": {},
"source": [
"### Oxidation Claims\n",
"\n",
"Oxidation claims follow a similar process, just with different incidence rates and severities."
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "5fec3578",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" pol_number | \n",
" claim_type | \n",
" claim_count | \n",
" claim_sev | \n",
"
\n",
" \n",
"\n",
" \n",
" 201706250197 | \n",
" B | \n",
" 1 | \n",
" 0.0066006 | \n",
"
\n",
" \n",
" 201702160566 | \n",
" B | \n",
" 1 | \n",
" 0.1305747 | \n",
"
\n",
" \n",
" 201703080185 | \n",
" B | \n",
" 1 | \n",
" 0.3325863 | \n",
"
\n",
" \n",
" 201709090113 | \n",
" B | \n",
" 1 | \n",
" 0.2690556 | \n",
"
\n",
" \n",
" 201604260297 | \n",
" B | \n",
" 1 | \n",
" 0.2531805 | \n",
"
\n",
" \n",
" 201707310143 | \n",
" B | \n",
" 1 | \n",
" 0.1357897 | \n",
"
\n",
"\n",
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# identify all policies with Oxidation cover\n",
"cov <- which(dt_policy$Cover != 'B')\n",
"\n",
"# sample claims from policies with cover\n",
"claim <- sample(cov, size = floor(length(cov) * 0.05))\n",
"\n",
"# add claims to table \n",
"dt_claim <- rbind(dt_claim,\n",
" data.table(pol_number = dt_policy[claim, pol_number],\n",
" claim_type = 'O',\n",
" claim_count = 1,\n",
" claim_sev = rbeta(length(claim), 5,3)))\n",
"\n",
"# check output\n",
"kable(head(dt_claim), \"html\") %>%\n",
" kable_styling(\"striped\") %>%\n",
" scroll_box(width = \"100%\") %>%\n",
" as.character() %>%\n",
" display_html()"
]
},
{
"cell_type": "markdown",
"id": "d890fe30",
"metadata": {},
"source": [
"### Theft Claims \n",
"\n",
"In the original paper the distribution for Theft severity claims is stated to be Beta(alpha = 5, beta = 0.5). \n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "1cc7beb0",
"metadata": {
"lines_to_next_cell": 2
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" pol_number | \n",
" claim_type | \n",
" claim_count | \n",
" claim_sev | \n",
"
\n",
" \n",
"\n",
" \n",
" 201706250197 | \n",
" B | \n",
" 1 | \n",
" 0.0066006 | \n",
"
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" \n",
" 201702160566 | \n",
" B | \n",
" 1 | \n",
" 0.1305747 | \n",
"
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" \n",
" 201703080185 | \n",
" B | \n",
" 1 | \n",
" 0.3325863 | \n",
"
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" \n",
" 201709090113 | \n",
" B | \n",
" 1 | \n",
" 0.2690556 | \n",
"
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" \n",
" 201604260297 | \n",
" B | \n",
" 1 | \n",
" 0.2531805 | \n",
"
\n",
" \n",
" 201707310143 | \n",
" B | \n",
" 1 | \n",
" 0.1357897 | \n",
"
\n",
"\n",
"
"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" pol_number | \n",
" claim_type | \n",
" claim_count | \n",
" claim_sev | \n",
"
\n",
" \n",
"\n",
" \n",
" 201708230205 | \n",
" T | \n",
" 1 | \n",
" 0.9648917 | \n",
"
\n",
" \n",
" 201701280297 | \n",
" T | \n",
" 1 | \n",
" 0.8245351 | \n",
"
\n",
" \n",
" 201701020337 | \n",
" T | \n",
" 1 | \n",
" 0.7794176 | \n",
"
\n",
" \n",
" 201605080388 | \n",
" T | \n",
" 1 | \n",
" 0.8335502 | \n",
"
\n",
" \n",
" 201608140365 | \n",
" T | \n",
" 1 | \n",
" 0.9262032 | \n",
"
\n",
" \n",
" 201710040235 | \n",
" T | \n",
" 1 | \n",
" 0.6904011 | \n",
"
\n",
"\n",
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# identify all policies with Theft cover\n",
"# for Theft claim frequency varies by Brand\n",
"# So need to consider each in turn...\n",
"\n",
"for(myModel in 0:3) {\n",
"\n",
" cov <- which(dt_policy$Cover == 'BOT' & dt_policy$Model == myModel)\n",
" claim <- sample(cov, size = floor(length(cov) * 0.05*(1 + myModel)))\n",
" \n",
" dt_claim <- rbind(dt_claim,\n",
" data.table(pol_number = dt_policy[claim, pol_number],\n",
" claim_type = 'T',\n",
" claim_count = 1,\n",
" claim_sev = rbeta(length(claim), 5,.5)))\n",
"}\n",
"\n",
"# check output\n",
"kable(head(dt_claim), \"html\") %>% \n",
" kable_styling(\"striped\") %>%\n",
" scroll_box(width = \"100%\") %>%\n",
" as.character() %>%\n",
" display_html()\n",
"\n",
"kable(tail(dt_claim), \"html\") %>%\n",
" kable_styling(\"striped\") %>%\n",
" scroll_box(width = \"100%\") %>%\n",
" as.character() %>%\n",
" display_html()"
]
},
{
"cell_type": "markdown",
"id": "780b5a25",
"metadata": {},
"source": [
"## Claim dates and costs\n",
"\n",
"### Policy UW_date and value\n",
"\n",
"We now need to add details to claims, such as policy underwritng date and phone cost.\n",
"These details come from the policy table."
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "dfa0261d",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" pol_number | \n",
" claim_type | \n",
" claim_count | \n",
" claim_sev | \n",
" date_UW | \n",
" Price | \n",
" Brand | \n",
"
\n",
" \n",
"\n",
" \n",
" 201601010003 | \n",
" B | \n",
" 1 | \n",
" 0.2786004 | \n",
" 2016-01-01 | \n",
" 913 | \n",
" 1 | \n",
"
\n",
" \n",
" 201601010019 | \n",
" B | \n",
" 1 | \n",
" 0.3383702 | \n",
" 2016-01-01 | \n",
" 229 | \n",
" 4 | \n",
"
\n",
" \n",
" 201601010021 | \n",
" B | \n",
" 1 | \n",
" 0.2924503 | \n",
" 2016-01-01 | \n",
" 913 | \n",
" 1 | \n",
"
\n",
" \n",
" 201601010028 | \n",
" B | \n",
" 1 | \n",
" 0.2193067 | \n",
" 2016-01-01 | \n",
" 794 | \n",
" 1 | \n",
"
\n",
" \n",
" 201601010032 | \n",
" B | \n",
" 1 | \n",
" 0.2106113 | \n",
" 2016-01-01 | \n",
" 837 | \n",
" 2 | \n",
"
\n",
" \n",
" 201601010047 | \n",
" B | \n",
" 1 | \n",
" 0.1108387 | \n",
" 2016-01-01 | \n",
" 913 | \n",
" 1 | \n",
"
\n",
"\n",
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# set join keys\n",
"setkey(dt_policy, pol_number)\n",
"setkey(dt_claim, pol_number)\n",
"\n",
"#join Brand and Price from policy to claim\n",
"dt_claim[dt_policy,\n",
" on = 'pol_number',\n",
" ':='(date_UW = i.date_UW,\n",
" Price = i.Price,\n",
" Brand = i.Brand)]\n",
"\n",
"# check output\n",
"kable(head(dt_claim), \"html\") %>%\n",
" kable_styling(\"striped\") %>%\n",
" scroll_box(width = \"100%\") %>%\n",
" as.character() %>%\n",
" display_html()"
]
},
{
"cell_type": "markdown",
"id": "d5b621ed",
"metadata": {},
"source": [
"### Add simulated Claim occrrence, reporting and payment delays \n",
"\n",
"The occurrence delay is assumed uniform over policy exposure period.\n",
"Reporting and payment delays are assumed to follow Beta distributions."
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "26890156",
"metadata": {},
"outputs": [],
"source": [
"# use lubridate %m+% date addition operator \n",
"dt_claim[, date_lapse := date_UW %m+% years(1)]\n",
"dt_claim[, expodays := as.integer(date_lapse - date_UW)]\n",
"dt_claim[, occ_delay_days := floor(expodays * runif(.N, 0,1))]\n",
"\n",
"dt_claim[ ,delay_report := floor(365 * rbeta(.N, .4, 10))] \n",
"dt_claim[ ,delay_pay := floor(10 + 40* rbeta(.N, 7,7))] \n",
"\n",
"dt_claim[, date_occur := date_UW %m+% days(occ_delay_days)]\n",
"dt_claim[, date_report := date_occur %m+% days(delay_report)]\n",
"dt_claim[, date_pay := date_report %m+% days(delay_pay)]\n",
"\n",
"dt_claim[, claim_cost := round(Price * claim_sev)]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "a4931de8",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A data.table: 6 × 16\n",
"\n",
"\tpol_number | claim_type | claim_count | claim_sev | date_UW | Price | Brand | date_lapse | expodays | occ_delay_days | delay_report | delay_pay | date_occur | date_report | date_pay | claim_cost |
\n",
"\t<chr> | <chr> | <dbl> | <dbl> | <date> | <dbl> | <dbl> | <date> | <int> | <dbl> | <dbl> | <dbl> | <date> | <date> | <date> | <dbl> |
\n",
"\n",
"\n",
"\t201601010003 | B | 1 | 0.2786004 | 2016-01-01 | 913 | 1 | 2017-01-01 | 366 | 173 | 71 | 28 | 2016-06-22 | 2016-09-01 | 2016-09-29 | 254 |
\n",
"\t201601010019 | B | 1 | 0.3383702 | 2016-01-01 | 229 | 4 | 2017-01-01 | 366 | 139 | 6 | 33 | 2016-05-19 | 2016-05-25 | 2016-06-27 | 77 |
\n",
"\t201601010021 | B | 1 | 0.2924503 | 2016-01-01 | 913 | 1 | 2017-01-01 | 366 | 203 | 2 | 30 | 2016-07-22 | 2016-07-24 | 2016-08-23 | 267 |
\n",
"\t201601010028 | B | 1 | 0.2193067 | 2016-01-01 | 794 | 1 | 2017-01-01 | 366 | 186 | 1 | 29 | 2016-07-05 | 2016-07-06 | 2016-08-04 | 174 |
\n",
"\t201601010032 | B | 1 | 0.2106113 | 2016-01-01 | 837 | 2 | 2017-01-01 | 366 | 199 | 33 | 29 | 2016-07-18 | 2016-08-20 | 2016-09-18 | 176 |
\n",
"\t201601010047 | B | 1 | 0.1108387 | 2016-01-01 | 913 | 1 | 2017-01-01 | 366 | 141 | 0 | 29 | 2016-05-21 | 2016-05-21 | 2016-06-19 | 101 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A data.table: 6 × 16\n",
"\\begin{tabular}{llllllllllllllll}\n",
" pol\\_number & claim\\_type & claim\\_count & claim\\_sev & date\\_UW & Price & Brand & date\\_lapse & expodays & occ\\_delay\\_days & delay\\_report & delay\\_pay & date\\_occur & date\\_report & date\\_pay & claim\\_cost\\\\\n",
" & & & & & & & & & & & & & & & \\\\\n",
"\\hline\n",
"\t 201601010003 & B & 1 & 0.2786004 & 2016-01-01 & 913 & 1 & 2017-01-01 & 366 & 173 & 71 & 28 & 2016-06-22 & 2016-09-01 & 2016-09-29 & 254\\\\\n",
"\t 201601010019 & B & 1 & 0.3383702 & 2016-01-01 & 229 & 4 & 2017-01-01 & 366 & 139 & 6 & 33 & 2016-05-19 & 2016-05-25 & 2016-06-27 & 77\\\\\n",
"\t 201601010021 & B & 1 & 0.2924503 & 2016-01-01 & 913 & 1 & 2017-01-01 & 366 & 203 & 2 & 30 & 2016-07-22 & 2016-07-24 & 2016-08-23 & 267\\\\\n",
"\t 201601010028 & B & 1 & 0.2193067 & 2016-01-01 & 794 & 1 & 2017-01-01 & 366 & 186 & 1 & 29 & 2016-07-05 & 2016-07-06 & 2016-08-04 & 174\\\\\n",
"\t 201601010032 & B & 1 & 0.2106113 & 2016-01-01 & 837 & 2 & 2017-01-01 & 366 & 199 & 33 & 29 & 2016-07-18 & 2016-08-20 & 2016-09-18 & 176\\\\\n",
"\t 201601010047 & B & 1 & 0.1108387 & 2016-01-01 & 913 & 1 & 2017-01-01 & 366 & 141 & 0 & 29 & 2016-05-21 & 2016-05-21 & 2016-06-19 & 101\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A data.table: 6 × 16\n",
"\n",
"| pol_number <chr> | claim_type <chr> | claim_count <dbl> | claim_sev <dbl> | date_UW <date> | Price <dbl> | Brand <dbl> | date_lapse <date> | expodays <int> | occ_delay_days <dbl> | delay_report <dbl> | delay_pay <dbl> | date_occur <date> | date_report <date> | date_pay <date> | claim_cost <dbl> |\n",
"|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
"| 201601010003 | B | 1 | 0.2786004 | 2016-01-01 | 913 | 1 | 2017-01-01 | 366 | 173 | 71 | 28 | 2016-06-22 | 2016-09-01 | 2016-09-29 | 254 |\n",
"| 201601010019 | B | 1 | 0.3383702 | 2016-01-01 | 229 | 4 | 2017-01-01 | 366 | 139 | 6 | 33 | 2016-05-19 | 2016-05-25 | 2016-06-27 | 77 |\n",
"| 201601010021 | B | 1 | 0.2924503 | 2016-01-01 | 913 | 1 | 2017-01-01 | 366 | 203 | 2 | 30 | 2016-07-22 | 2016-07-24 | 2016-08-23 | 267 |\n",
"| 201601010028 | B | 1 | 0.2193067 | 2016-01-01 | 794 | 1 | 2017-01-01 | 366 | 186 | 1 | 29 | 2016-07-05 | 2016-07-06 | 2016-08-04 | 174 |\n",
"| 201601010032 | B | 1 | 0.2106113 | 2016-01-01 | 837 | 2 | 2017-01-01 | 366 | 199 | 33 | 29 | 2016-07-18 | 2016-08-20 | 2016-09-18 | 176 |\n",
"| 201601010047 | B | 1 | 0.1108387 | 2016-01-01 | 913 | 1 | 2017-01-01 | 366 | 141 | 0 | 29 | 2016-05-21 | 2016-05-21 | 2016-06-19 | 101 |\n",
"\n"
],
"text/plain": [
" pol_number claim_type claim_count claim_sev date_UW Price Brand\n",
"1 201601010003 B 1 0.2786004 2016-01-01 913 1 \n",
"2 201601010019 B 1 0.3383702 2016-01-01 229 4 \n",
"3 201601010021 B 1 0.2924503 2016-01-01 913 1 \n",
"4 201601010028 B 1 0.2193067 2016-01-01 794 1 \n",
"5 201601010032 B 1 0.2106113 2016-01-01 837 2 \n",
"6 201601010047 B 1 0.1108387 2016-01-01 913 1 \n",
" date_lapse expodays occ_delay_days delay_report delay_pay date_occur\n",
"1 2017-01-01 366 173 71 28 2016-06-22\n",
"2 2017-01-01 366 139 6 33 2016-05-19\n",
"3 2017-01-01 366 203 2 30 2016-07-22\n",
"4 2017-01-01 366 186 1 29 2016-07-05\n",
"5 2017-01-01 366 199 33 29 2016-07-18\n",
"6 2017-01-01 366 141 0 29 2016-05-21\n",
" date_report date_pay claim_cost\n",
"1 2016-09-01 2016-09-29 254 \n",
"2 2016-05-25 2016-06-27 77 \n",
"3 2016-07-24 2016-08-23 267 \n",
"4 2016-07-06 2016-08-04 174 \n",
"5 2016-08-20 2016-09-18 176 \n",
"6 2016-05-21 2016-06-19 101 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# check output\n",
"head(dt_claim)"
]
},
{
"cell_type": "markdown",
"id": "674075cc",
"metadata": {},
"source": [
"### Claim key and tidy\n",
"\n",
"The final stage is to do some simple tidying and add a unique claim key. The file is then saved for future use.\n",
"\n",
"Note that the original paper spoke of using a \"competing hazards model\" for simulating claims. I have taken this to mean that a policy can only give rise to one claim. Where the above process has simulated multiple claims against the same policy I keep only the first occurring claim. \n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "65b688d7",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" clm_number | \n",
" pol_number | \n",
" claim_type | \n",
" claim_count | \n",
" claim_sev | \n",
" date_occur | \n",
" date_report | \n",
" date_pay | \n",
" claim_cost | \n",
"
\n",
" \n",
"\n",
" \n",
" 201606220001 | \n",
" 201601010003 | \n",
" B | \n",
" 1 | \n",
" 0.2786004 | \n",
" 2016-06-22 | \n",
" 2016-09-01 | \n",
" 2016-09-29 | \n",
" 254 | \n",
"
\n",
" \n",
" 201605190001 | \n",
" 201601010019 | \n",
" B | \n",
" 1 | \n",
" 0.3383702 | \n",
" 2016-05-19 | \n",
" 2016-05-25 | \n",
" 2016-06-27 | \n",
" 77 | \n",
"
\n",
" \n",
" 201607220001 | \n",
" 201601010021 | \n",
" B | \n",
" 1 | \n",
" 0.2924503 | \n",
" 2016-07-22 | \n",
" 2016-07-24 | \n",
" 2016-08-23 | \n",
" 267 | \n",
"
\n",
" \n",
" 201607050001 | \n",
" 201601010028 | \n",
" B | \n",
" 1 | \n",
" 0.2193067 | \n",
" 2016-07-05 | \n",
" 2016-07-06 | \n",
" 2016-08-04 | \n",
" 174 | \n",
"
\n",
" \n",
" 201607180001 | \n",
" 201601010032 | \n",
" B | \n",
" 1 | \n",
" 0.2106113 | \n",
" 2016-07-18 | \n",
" 2016-08-20 | \n",
" 2016-09-18 | \n",
" 176 | \n",
"
\n",
" \n",
" 201605210001 | \n",
" 201601010047 | \n",
" B | \n",
" 1 | \n",
" 0.1108387 | \n",
" 2016-05-21 | \n",
" 2016-05-21 | \n",
" 2016-06-19 | \n",
" 101 | \n",
"
\n",
"\n",
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# add a unique claimkey based upon occurence date\n",
"\n",
"dt_claim[, clm_prefix := year(date_occur)*10000 + month(date_occur)*100 + mday(date_occur)]\n",
"dt_claim[, clm_seq := seq_len(.N), by = clm_prefix]\n",
"dt_claim[, clm_number := as.character(clm_prefix * 10000 + clm_seq)]\n",
"\n",
"\n",
"# keep only first claim against policy (competing hazards)\n",
"setkeyv(dt_claim, c(\"pol_number\", \"clm_prefix\"))\n",
"dt_claim[, polclm_seq := seq_len(.N), by = .(pol_number)]\n",
"dt_claim <- dt_claim[polclm_seq == 1,]\n",
"\n",
"# colums to keep\n",
"cols_claim <- c(\"clm_number\",\n",
" \"pol_number\",\n",
" \"claim_type\",\n",
" \"claim_count\",\n",
" \"claim_sev\",\n",
" \"date_occur\",\n",
" \"date_report\",\n",
" \"date_pay\",\n",
" \"claim_cost\")\n",
"\n",
"dt_claim <- dt_claim[, cols_claim, with = FALSE]\n",
"\n",
"# check output\n",
"kable(head(dt_claim), \"html\") %>%\n",
" kable_styling(\"striped\") %>%\n",
" scroll_box(width = \"100%\") %>%\n",
" as.character() %>%\n",
" display_html()\n",
"\n",
"save(dt_claim, file = \"./dt_claim.rda\")"
]
},
{
"cell_type": "markdown",
"id": "77337e99",
"metadata": {},
"source": [
"# Checking exhibits\n",
"\n",
"Baudry's paper produced a number of summary exhibits from the simulated data. Let's recreate them to get some comfort that we have correctly recreated the data. \n",
"\n",
"You can see that the severity exhibit, Chart B, is inconsistent with that presented in the original paper. The cause of that difference is unclear at the time of writing. It's likely to be because something nearer to a Beta(alpha = 5, beta = 0.05) has been used. However using that creates other discrepancies likely to be due to issues with the competing hazards implementation. For now we note the differences and continue with the data as created here.\n"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "25288273",
"metadata": {
"tags": [
"remove_input"
]
},
"outputs": [
{
"data": {
"image/png": 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6PU9egohml6tf5qzIJjlBvvNL65QSOt/rhH/S6W4tvuj1O286j1C76Jaowma5vO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\nASEgBISAEKgIBP4PTQ4q3YPF3VgAAAAASUVORK5CYII=",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 420
}
},
"output_type": "display_data"
}
],
"source": [
"dt_policy[, Cover2 := as.integer(factor(Cover))]\n",
"\n",
"p1 <- ggplot(data = dt_policy, aes(x = Brand, y = ..prop..)) + \n",
" geom_bar(stat = \"count\") + \n",
" labs(title = \"Phone Brand stationary distribution\", x = NULL) + \n",
" scale_x_continuous(breaks=c(1,2,3, 4), labels=c(\"Brand 1\", \"Brand 2\", \"Brand 3\", \"Brand 4\"))\n",
"\n",
"p2 <- ggplot(dt_claim, aes(x=claim_cost, fill=claim_type, color=claim_type)) +\n",
" geom_histogram(position=\"identity\", alpha=0.5, binwidth = 10) + \n",
" labs(title = \"Claim cost frequencies by damage\") + \n",
" theme(legend.position = c(.65,.95),\n",
" legend.direction = \"horizontal\",\n",
" legend.background = element_rect(fill=alpha('white', 0.6)))\n",
"\n",
"p3 <- ggplot(data = dt_policy, aes(x = Cover2, y = ..prop..)) + \n",
" geom_bar(stat = \"count\") + \n",
" labs(title = \"Phone cover stationary distribution\", x = NULL) + \n",
" scale_x_continuous(breaks=c(1,2,3), labels=c(\"B\", \"BO\", \"BOT\"))\n",
"\n",
"p4 <- ggplot(data = dt_policy, aes(x = format(date_UW, \"%y-%m\"), fill=factor(Model, levels = c(3,2,1,0)))) + \n",
" geom_bar(stat = \"count\") + \n",
" labs(title = \"Policy count by model\", x = NULL, fill = \"Model\") +\n",
" theme(axis.text.x=element_text(angle=60, hjust=1),\n",
" legend.position = c(.55,.75),\n",
" legend.direction = \"horizontal\",\n",
" legend.background = element_rect(fill=alpha('white', 0.6)))\n",
"\n",
"plot_grid(p1,p2,p3,p4, labels = \"AUTO\")"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "1f18ed07",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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l7f/ci7/12awfeT9rZr/LC7F0/895LW+i+cuIaZBAgQILAgBO7NAqmuDJyfjP8C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\n",
"text/plain": [
"Plot with title “Histogram of dt_claim[, Days_reportdelay]”"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 420
}
},
"output_type": "display_data"
}
],
"source": [
"\n",
"dt_claim[, Days_reportdelay := as.numeric(difftime(date_report, date_occur, units=\"days\"))]\n",
"\n",
"\n",
"hist(dt_claim[, Days_reportdelay],breaks = 50)\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "24255a63",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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5mtYbOshv1/bX1767ZfaN1mutGZ+r2ydX/1ZmecVm9KL0va+9OM35z57ePygb4V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\nBAgQIECAAAECBAgQIECAAAECBLYKgf8BTkzvbSI/82IAAAAASUVORK5CYII=",
"text/plain": [
"Plot with title “Histogram of dt_claim[, Days_paymentdelay]”"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 420
}
},
"output_type": "display_data"
}
],
"source": [
"dt_claim[, Days_paymentdelay := as.numeric(difftime(date_pay, date_report, units=\"days\"))]\n",
"hist(dt_claim[, Days_paymentdelay],breaks = 60)"
]
},
{
"cell_type": "markdown",
"id": "ea81f70f",
"metadata": {},
"source": [
"The final set of exhibits are those on slide 44. The only difference of note here is in Chart B, the Claim Rate by phone brand. \n",
"\n",
"Baudry's exhibits show Brand 1 to have a 5% higher claim frequency than other Brands. From reading the paper I can't see why we should expect that to be the case. Claim rate varies by phone Model but Model incidence doesn't vary by Brand. Therefore I can't see how the Chart B equivalent could be correct given the details in the paper. \n",
"\n",
"I leave the code as is noting the difference but recognising that it will not affect the wider aims of the paper.\n"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "fe073a7f",
"metadata": {
"tags": [
"remove_input"
]
},
"outputs": [
{
"data": {
"image/png": 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IEM+5vgT62z1NanVCNHvwMo0/iDSX7VYDVBpMUv659Zur5KdP2DwgBLnWrakVVm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a0DWga0DXwPdUAz5xg3H70tkIYXYi0+QL6SpmxRN5BbAQyDyWmgSjMAe0SzQXMmPM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\noH4AAAAASUVORK5CYII=",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 420
}
},
"output_type": "display_data"
}
],
"source": [
"## Exhibits to check output\n",
"\n",
"tmp <- dt_policy[,.(Price = mean(Price)), by = .(Brand = paste0(\"Brand \", Brand), date_UW=format(date_UW, \"%y-%m\"))]\n",
"p1 <- ggplot(data = tmp, aes(x = date_UW, y = Price, group=factor(Brand))) + \n",
" geom_line(aes(color = Brand)) + \n",
" labs(title = \"Average Phone Price\", x = \"UW Month\")+\n",
" theme(axis.text.x=element_text(angle=60, hjust=1),\n",
" legend.position = c(.45,.95),\n",
" legend.direction = \"horizontal\",\n",
" legend.title = element_blank(),\n",
" legend.background = element_rect(fill=alpha('white', 0.6)),\n",
" legend.text = element_text(size = 6)) +\n",
" ylim(0, 1000)\n",
"\n",
"#function to calc policies in force on a date\n",
"policy_count <- function(mydate, myBrand){\n",
" dt_policy[date_UW <= mydate & date_lapse >= mydate & Brand == myBrand, .N]\n",
"}\n",
"\n",
"#function return every nth axis label\n",
"every_nth = function(n) {\n",
" return(function(x) {x[c(TRUE, rep(FALSE, n - 1))]})\n",
"}\n",
"\n",
"\n",
"#create a table to store policy exposures by brand\n",
"dt_exposuredates <- NULL\n",
"for (eachBrand in unique(dt_policy$Brand)){\n",
" dt_exposuredates <- rbind(dt_exposuredates, data.table(date_Expo = seq(as.Date(\"2016/1/1\"), as.Date(\"2018/12/31\"), \"day\"),\n",
" Brand = eachBrand))\n",
"}\n",
"\n",
"# calculate the exposure\n",
"dt_exposuredates[, Expo := mapply(policy_count, date_Expo,Brand)]\n",
"# calculate monthly summaries\n",
"dt_exposure <- dt_exposuredates[, .(Exposure = sum(Expo)), keyby = .(date_occur=format(date_Expo, \"%y-%m\"), Brand = paste0(\"Brand \", Brand)) ]\n",
"\n",
"# add Brand details to Claims details and aggregate to monthly summary\n",
"tmp <- dt_policy[dt_claim][,.(claim_cost = sum(claim_cost), claim_count = .N), keyby = .(date_occur=format(date_occur, \"%y-%m\"), Brand = paste0(\"Brand \", Brand))]\n",
"\n",
"# add monthly exposures and calculate claim rate\n",
"tmp2 <- dt_exposure[tmp][, Claim_Rate := 12 * 30.5 * claim_count / Exposure]\n",
"\n",
"p2 <- ggplot(data = tmp2, aes(x = date_occur, y = Claim_Rate, group=factor(Brand))) + \n",
" geom_line(aes(color = Brand)) + \n",
" labs(title = \"Average Claim Rate by Brand\", x = \"Occurrence Month\") +\n",
" theme(axis.text.x=element_text(angle=60, hjust=1),\n",
" legend.position = c(.45,.9),\n",
" legend.direction = \"horizontal\",\n",
" legend.title = element_blank(),\n",
" legend.background = element_rect(fill=alpha('white', 0.6)),\n",
" legend.text = element_text(size = 6)) +\n",
" scale_x_discrete(breaks = every_nth(n = 3)) +\n",
" ylim(0.15, 0.3)\n",
"\n",
"\n",
"tmp <- dt_claim[,.(claim_cost = mean(claim_cost)), keyby = .(date_occur=format(date_occur, \"%y-%m\"))]\n",
"p3 <- ggplot(data = tmp, aes(date_occur, claim_cost, group = 1 )) + \n",
" geom_line() + \n",
" labs(title = \"Average Claim Cost\", x = \"Occurence Month\") +\n",
" theme(axis.text.x=element_text(angle=60, hjust=1))+\n",
" scale_x_discrete(breaks = every_nth(n = 3)) +\n",
" ylim(0, 500)\n",
"\n",
"\n",
"tmp <- dt_claim[,.(claim_cost = sum(claim_cost)), keyby = .(date_occur=format(date_occur, \"%y-%m\"))]\n",
"p4 <- ggplot(data = tmp, aes(date_occur, claim_cost, group = 1 )) + \n",
" geom_line() + \n",
" labs(title = \"Total Claim Cost\", x = \"Occurence Month\") +\n",
" theme(axis.text.x=element_text(angle=60, hjust=1)) +\n",
" scale_x_discrete(breaks = every_nth(n = 3)) \n",
"\n",
"\n",
"plot_grid(p1,p2,p3,p4, labels = \"AUTO\")\n"
]
},
{
"cell_type": "markdown",
"id": "13177bef",
"metadata": {},
"source": [
"# Function to create policy and claim data\n",
"\n",
"The above code can be wrapped into a function which returns a list containing the policy and claim datasets."
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "cb191093",
"metadata": {
"tags": [
"remove_cell"
]
},
"outputs": [],
"source": [
"\n",
"simulate_central_scenario <- function(seed = 1234){\n",
" \n",
" #seed = 1234 \n",
" set.seed(seed)\n",
" \n",
" # Policy data\n",
" #~~~~~~~~~~~~~~~~~\n",
" \n",
" # polices sold between start 2016 to end 2017\n",
" dt_policydates <- data.table(date_UW = seq(as.Date(\"2016/1/1\"), as.Date(\"2017/12/31\"), \"day\"))\n",
" \n",
" # number of policies per day follows Poisson process with mean 700 (approx 255,500 pols per annum)\n",
" dt_policydates[, ':='(policycount = rpois(.N,700),\n",
" date_lapse = date_UW %m+% years(1),\n",
" expodays = as.integer(date_UW %m+% years(1) - date_UW),\n",
" pol_prefix = year(date_UW)*10000 + month(date_UW)*100 + mday(date_UW))]\n",
" \n",
" \n",
" # Add columns defining Policy Covers \n",
" dt_policydates[, Cover_B := round(policycount * 0.25)]\n",
" dt_policydates[, Cover_BO := round(policycount * 0.45)]\n",
" dt_policydates[, Cover_BOT := policycount - Cover_B - Cover_BO]\n",
" \n",
" \n",
" # repeat rows for each policy by UW-Date\n",
" dt_policy <- dt_policydates[rep(1:.N, policycount),c(\"date_UW\", \"pol_prefix\"), with = FALSE][,pol_seq:=1:.N, by=pol_prefix]\n",
" \n",
" # Create a unique policy number \n",
" dt_policy[, pol_number := as.character(pol_prefix * 10000 + pol_seq)]\n",
" \n",
" # set join keys\n",
" setkey(dt_policy,'date_UW')\n",
" setkey(dt_policydates,'date_UW') \n",
" \n",
" # remove pol_prefix before join\n",
" dt_policydates[, pol_prefix := NULL] \n",
" \n",
" # join cover from summary file (dt_policydates)\n",
" dt_policy <- dt_policy[dt_policydates] \n",
" \n",
" # now create Cover field for each policy row\n",
" dt_policy[,Cover := 'BO']\n",
" dt_policy[pol_seq <= policycount- Cover_BO,Cover := 'BOT']\n",
" dt_policy[pol_seq <= Cover_B,Cover := 'B'] \n",
" \n",
" # remove interim calculation fields\n",
" dt_policy[, ':='(pol_prefix = NULL,\n",
" policycount = NULL,\n",
" pol_seq = NULL,\n",
" Cover_B = NULL,\n",
" Cover_BOT = NULL,\n",
" Cover_BO = NULL)]\n",
" \n",
" # Add remaining policy details\n",
" dt_policy[, Brand := rep(rep(c(1,2,3,4), c(9,6,3,2)), length.out = .N)]\n",
" dt_policy[, Base_Price := rep(rep(c(600,550,300,150), c(9,6,3,2)), length.out = .N)]\n",
" \n",
" # models types and model cost multipliers\n",
" for (eachBrand in unique(dt_policy$Brand)) {\n",
" dt_policy[Brand == eachBrand, Model := rep(rep(c(3,2,1,0), c(10, 7, 2, 1)), length.out = .N)]\n",
" dt_policy[Brand == eachBrand, Model_mult := rep(rep(c(1.15^3, 1.15^2, 1.15^1, 1.15^0), c(10, 7, 2, 1)), length.out = .N)]\n",
" }\n",
" \n",
" dt_policy[, Price := ceiling (Base_Price * Model_mult)]\n",
" \n",
" \n",
" # colums to keep\n",
" cols_policy <- c(\"pol_number\",\n",
" \"date_UW\",\n",
" \"date_lapse\",\n",
" \"Cover\",\n",
" \"Brand\",\n",
" \"Model\",\n",
" \"Price\")\n",
" \n",
" dt_policy <- dt_policy[, cols_policy, with = FALSE]\n",
" \n",
" # check output\n",
" head(dt_policy)\n",
" \n",
" #save(dt_policy, file = \"./dt_policy.rda\")\n",
" \n",
" \n",
" # Claims data\n",
" #~~~~~~~~~~~~~~~~~\n",
" \n",
" # All policies have breakage cover\n",
" # claims uniformly sampled from policies\n",
" claim <- sample(nrow(dt_policy), size = floor(nrow(dt_policy) * 0.15))\n",
" \n",
" # Claim serverity multiplier sampled from beta distn\n",
" dt_claim <- data.table(pol_number = dt_policy[claim, pol_number],\n",
" claim_type = 'B',\n",
" claim_count = 1,\n",
" claim_sev = rbeta(length(claim), 2,5))\n",
" \n",
" # identify all policies with Oxidation cover\n",
" cov <- which(dt_policy$Cover != 'B')\n",
" \n",
" # sample claims from policies with cover\n",
" claim <- sample(cov, size = floor(length(cov) * 0.05))\n",
" \n",
" # add claims to table \n",
" dt_claim <- rbind(dt_claim,\n",
" data.table(pol_number = dt_policy[claim, pol_number],\n",
" claim_type = 'O',\n",
" claim_count = 1,\n",
" claim_sev = rbeta(length(claim), 5,3)))\n",
" \n",
" \n",
" # identify all policies with Theft cover\n",
" # for Theft claim frequency varies by Brand\n",
" # So need to consider each in turn...\n",
" \n",
" for(myModel in 0:3) {\n",
" \n",
" cov <- which(dt_policy$Cover == 'BOT' & dt_policy$Model == myModel)\n",
" claim <- sample(cov, size = floor(length(cov) * 0.05*(1 + myModel)))\n",
" \n",
" dt_claim <- rbind(dt_claim,\n",
" data.table(pol_number = dt_policy[claim, pol_number],\n",
" claim_type = 'T',\n",
" claim_count = 1,\n",
" claim_sev = rbeta(length(claim), 5,.5)))\n",
" }\n",
" \n",
" # set join keys\n",
" setkey(dt_policy, pol_number)\n",
" setkey(dt_claim, pol_number)\n",
" \n",
" #join Brand and Price from policy to claim\n",
" dt_claim[dt_policy,\n",
" on = 'pol_number',\n",
" ':='(date_UW = i.date_UW,\n",
" Price = i.Price,\n",
" Brand = i.Brand)]\n",
" \n",
" # use lubridate %m+% date addition operator \n",
" dt_claim[, date_lapse := date_UW %m+% years(1)]\n",
" dt_claim[, expodays := as.integer(date_lapse - date_UW)]\n",
" dt_claim[, occ_delay_days := floor(expodays * runif(.N, 0,1))]\n",
" \n",
" dt_claim[ ,delay_report := floor(365 * rbeta(.N, .4, 10))] \n",
" dt_claim[ ,delay_pay := floor(10 + 40* rbeta(.N, 7,7))] \n",
" \n",
" dt_claim[, date_occur := date_UW %m+% days(occ_delay_days)]\n",
" dt_claim[, date_report := date_occur %m+% days(delay_report)]\n",
" dt_claim[, date_pay := date_report %m+% days(delay_pay)]\n",
" \n",
" dt_claim[, claim_cost := round(Price * claim_sev)]\n",
" \n",
" dt_claim[, clm_prefix := year(date_report)*10000 + month(date_report)*100 + mday(date_report)]\n",
" \n",
" dt_claim[, clm_seq := seq_len(.N), by = clm_prefix]\n",
" dt_claim[, clm_number := as.character(clm_prefix * 10000 + clm_seq)]\n",
" \n",
" # colums to keep\n",
" cols_claim <- c(\"clm_number\",\n",
" \"pol_number\",\n",
" \"claim_type\",\n",
" \"claim_count\",\n",
" \"claim_sev\",\n",
" \"date_occur\",\n",
" \"date_report\",\n",
" \"date_pay\",\n",
" \"claim_cost\")\n",
" \n",
" dt_claim <- dt_claim[, cols_claim, with = FALSE]\n",
" \n",
" output <- list()\n",
" output$dt_policy <- dt_policy\n",
" output$dt_claim <- dt_claim\n",
" \n",
" return(output)\n",
" \n",
" \n",
"}"
]
},
{
"cell_type": "markdown",
"id": "040d82a6",
"metadata": {},
"source": [
"By calling the function with a seed you can simulate policy and claim datasets."
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "12addb8c",
"metadata": {
"lines_to_next_cell": 2
},
"outputs": [
{
"data": {
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" pol_number | \n",
" claim_type | \n",
" claim_count | \n",
" claim_sev | \n",
" date_occur | \n",
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"tmp <- simulate_central_scenario(1234)\n",
"\n",
"kable(head(tmp$dt_claim), \"html\") %>%\n",
" kable_styling(\"striped\") %>%\n",
" scroll_box(width = \"100%\") %>%\n",
" as.character() %>%\n",
" display_html()"
]
},
{
"cell_type": "markdown",
"id": "9b7df8b2",
"metadata": {},
"source": [
"# Download the code and try it yourself\n",
"\n",
"To finish, if you wish to try out this code in your own local instance of R then we have made this code and the supporting files and folders available in a zip file [here](/mlr-blog/l_baudry/Baudry_1.zip).\n",
"\n",
"Download and extract the zip file to a local directory and then open the R project file `Baudry_1.rproj` in your local R software installation. In the root of the project folder you will see two files; \n",
"\n",
"1. Notebook_1_SimulateData_v1.Rmd - which is the source code used to recreate this notebook\n",
"2. Notebook_1_SimulateData_v1.R - the equivalent code provided as an R script\n",
"\n",
"Please note that, depending upon your R installation , you may have to install R libraries before you can run the code provided. R will warn you if you have missing dependencies and you can then install them from CRAN."
]
}
],
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