THE DETERMINATION OF THE EXCESS OF LOSS CATASTROPHE REINSURANCE PREMIUM USING THE EXPECTED VALUE PRINCIPLE AND VALUE-AT-RISK: CASE STUDY OF THE NATURAL DISASTERS DATA IN INDONESIA FOR YEARS 2000-2019

Indonesia is one country which is prone to natural disasters. In the event of a natural disaster, a life insurance company may transfer some of its risk to a reinsurance company by purchasing a reinsurance product, for example, a Catastrophe Excess of Loss (Cat XL), and pays a compensation to the re...

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Main Author: Abigail Gunawan, Jeannette
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/55199
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:55199
spelling id-itb.:551992021-06-16T09:38:10ZTHE DETERMINATION OF THE EXCESS OF LOSS CATASTROPHE REINSURANCE PREMIUM USING THE EXPECTED VALUE PRINCIPLE AND VALUE-AT-RISK: CASE STUDY OF THE NATURAL DISASTERS DATA IN INDONESIA FOR YEARS 2000-2019 Abigail Gunawan, Jeannette Indonesia Final Project Catastrophe Excess of Loss reinsurance, peaks over threshold, discrete generalized pareto, expected-value principle, value-at-risk. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/55199 Indonesia is one country which is prone to natural disasters. In the event of a natural disaster, a life insurance company may transfer some of its risk to a reinsurance company by purchasing a reinsurance product, for example, a Catastrophe Excess of Loss (Cat XL), and pays a compensation to the reinsurance company in the form of a reinsurance premium. In this Final Project, a model for determining a Cat XL reinsurance premium is discussed, using as a case study, the data on natural disasters in Indonesia and the data on the number of people died caused by the natural disasters in the years 2000-2019, taken from the website of Badan Nasional Penanggulangan Bencana (BNPB). The number of natural disasters in Indonesia which cause at least m people died is assumed to have a Poisson distribution; the number of people died in the natural disasters given at least m people died is modeled by a Discrete Generalized Pareto distribution; the number of claims reported to a life insurance company caused by the natural disaster are assumed to have a Beta-Binomial distribution; and the claims severity is assumed to follow an exponential distribution. Using a Monte Carlo simulation, the Cat XL reinsurance premiums are determined using two risk measures, namely: the Expected Value Principle (EVP) and the Value-at-Risk (VaR). text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Indonesia is one country which is prone to natural disasters. In the event of a natural disaster, a life insurance company may transfer some of its risk to a reinsurance company by purchasing a reinsurance product, for example, a Catastrophe Excess of Loss (Cat XL), and pays a compensation to the reinsurance company in the form of a reinsurance premium. In this Final Project, a model for determining a Cat XL reinsurance premium is discussed, using as a case study, the data on natural disasters in Indonesia and the data on the number of people died caused by the natural disasters in the years 2000-2019, taken from the website of Badan Nasional Penanggulangan Bencana (BNPB). The number of natural disasters in Indonesia which cause at least m people died is assumed to have a Poisson distribution; the number of people died in the natural disasters given at least m people died is modeled by a Discrete Generalized Pareto distribution; the number of claims reported to a life insurance company caused by the natural disaster are assumed to have a Beta-Binomial distribution; and the claims severity is assumed to follow an exponential distribution. Using a Monte Carlo simulation, the Cat XL reinsurance premiums are determined using two risk measures, namely: the Expected Value Principle (EVP) and the Value-at-Risk (VaR).
format Final Project
author Abigail Gunawan, Jeannette
spellingShingle Abigail Gunawan, Jeannette
THE DETERMINATION OF THE EXCESS OF LOSS CATASTROPHE REINSURANCE PREMIUM USING THE EXPECTED VALUE PRINCIPLE AND VALUE-AT-RISK: CASE STUDY OF THE NATURAL DISASTERS DATA IN INDONESIA FOR YEARS 2000-2019
author_facet Abigail Gunawan, Jeannette
author_sort Abigail Gunawan, Jeannette
title THE DETERMINATION OF THE EXCESS OF LOSS CATASTROPHE REINSURANCE PREMIUM USING THE EXPECTED VALUE PRINCIPLE AND VALUE-AT-RISK: CASE STUDY OF THE NATURAL DISASTERS DATA IN INDONESIA FOR YEARS 2000-2019
title_short THE DETERMINATION OF THE EXCESS OF LOSS CATASTROPHE REINSURANCE PREMIUM USING THE EXPECTED VALUE PRINCIPLE AND VALUE-AT-RISK: CASE STUDY OF THE NATURAL DISASTERS DATA IN INDONESIA FOR YEARS 2000-2019
title_full THE DETERMINATION OF THE EXCESS OF LOSS CATASTROPHE REINSURANCE PREMIUM USING THE EXPECTED VALUE PRINCIPLE AND VALUE-AT-RISK: CASE STUDY OF THE NATURAL DISASTERS DATA IN INDONESIA FOR YEARS 2000-2019
title_fullStr THE DETERMINATION OF THE EXCESS OF LOSS CATASTROPHE REINSURANCE PREMIUM USING THE EXPECTED VALUE PRINCIPLE AND VALUE-AT-RISK: CASE STUDY OF THE NATURAL DISASTERS DATA IN INDONESIA FOR YEARS 2000-2019
title_full_unstemmed THE DETERMINATION OF THE EXCESS OF LOSS CATASTROPHE REINSURANCE PREMIUM USING THE EXPECTED VALUE PRINCIPLE AND VALUE-AT-RISK: CASE STUDY OF THE NATURAL DISASTERS DATA IN INDONESIA FOR YEARS 2000-2019
title_sort determination of the excess of loss catastrophe reinsurance premium using the expected value principle and value-at-risk: case study of the natural disasters data in indonesia for years 2000-2019
url https://digilib.itb.ac.id/gdl/view/55199
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