ANALYZING AND PREDICTING CAT BOND PREMIUMS: A FINANCIAL LOSS PREMIUM PRINCIPLE AND EXTREME VALUE MODELING

Abstract CAT bonds play an important role in transferring insurance risks to the capital market. It has been observed that typical CAT bond premiums have changed since the recent financial crisis, which has been attributed to market participants being increasingly risk averse. In this work, we first...

Full description

Bibliographic Details
Published in:ASTIN Bulletin
Main Authors: Stupfler, Gilles, Yang, Fan
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 2017
Subjects:
Online Access:http://dx.doi.org/10.1017/asb.2017.32
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0515036117000320
id crcambridgeupr:10.1017/asb.2017.32
record_format openpolar
spelling crcambridgeupr:10.1017/asb.2017.32 2024-09-15T18:06:56+00:00 ANALYZING AND PREDICTING CAT BOND PREMIUMS: A FINANCIAL LOSS PREMIUM PRINCIPLE AND EXTREME VALUE MODELING Stupfler, Gilles Yang, Fan 2017 http://dx.doi.org/10.1017/asb.2017.32 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0515036117000320 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/terms ASTIN Bulletin volume 48, issue 1, page 375-411 ISSN 0515-0361 1783-1350 journal-article 2017 crcambridgeupr https://doi.org/10.1017/asb.2017.32 2024-08-14T04:02:41Z Abstract CAT bonds play an important role in transferring insurance risks to the capital market. It has been observed that typical CAT bond premiums have changed since the recent financial crisis, which has been attributed to market participants being increasingly risk averse. In this work, we first propose a new premium principle, the financial loss premium principle, which includes a term measuring losses in the financial market that we represent here by the Conditional Tail Expectation (CTE) of the negative daily log-return of the S&P 500 index. Our analysis of empirical evidence suggests indeed that in the post-crisis market, instead of simply increasing the fixed level of risk load universally, the increased risk aversion should be modeled jointly by a fixed level of risk load and a financial loss factor to reflect trends in the financial market. This new premium principle is shown to be flexible with respect to the confidence/exceedance level of CTE. In the second part, we focus on the particular example of extreme wildfire risk. The distribution of the amount of precipitation in Fort McMurray, Canada, which is a very important factor in the occurrence of wildfires, is analyzed using extreme value modeling techniques. A wildfire bond with parametric trigger of precipitation is then designed to mitigate extreme wildfire risk, and its premium is predicted using an extreme value analysis of its expected loss. With an application to the 2016 Fort McMurray wildfire, we demonstrate that the extreme value model is sensible, and we further analyze how our results and construction can be used to provide a design framework for CAT bonds which may appeal to (re)insurers and investors alike. Article in Journal/Newspaper Fort McMurray Cambridge University Press ASTIN Bulletin 48 1 375 411
institution Open Polar
collection Cambridge University Press
op_collection_id crcambridgeupr
language English
description Abstract CAT bonds play an important role in transferring insurance risks to the capital market. It has been observed that typical CAT bond premiums have changed since the recent financial crisis, which has been attributed to market participants being increasingly risk averse. In this work, we first propose a new premium principle, the financial loss premium principle, which includes a term measuring losses in the financial market that we represent here by the Conditional Tail Expectation (CTE) of the negative daily log-return of the S&P 500 index. Our analysis of empirical evidence suggests indeed that in the post-crisis market, instead of simply increasing the fixed level of risk load universally, the increased risk aversion should be modeled jointly by a fixed level of risk load and a financial loss factor to reflect trends in the financial market. This new premium principle is shown to be flexible with respect to the confidence/exceedance level of CTE. In the second part, we focus on the particular example of extreme wildfire risk. The distribution of the amount of precipitation in Fort McMurray, Canada, which is a very important factor in the occurrence of wildfires, is analyzed using extreme value modeling techniques. A wildfire bond with parametric trigger of precipitation is then designed to mitigate extreme wildfire risk, and its premium is predicted using an extreme value analysis of its expected loss. With an application to the 2016 Fort McMurray wildfire, we demonstrate that the extreme value model is sensible, and we further analyze how our results and construction can be used to provide a design framework for CAT bonds which may appeal to (re)insurers and investors alike.
format Article in Journal/Newspaper
author Stupfler, Gilles
Yang, Fan
spellingShingle Stupfler, Gilles
Yang, Fan
ANALYZING AND PREDICTING CAT BOND PREMIUMS: A FINANCIAL LOSS PREMIUM PRINCIPLE AND EXTREME VALUE MODELING
author_facet Stupfler, Gilles
Yang, Fan
author_sort Stupfler, Gilles
title ANALYZING AND PREDICTING CAT BOND PREMIUMS: A FINANCIAL LOSS PREMIUM PRINCIPLE AND EXTREME VALUE MODELING
title_short ANALYZING AND PREDICTING CAT BOND PREMIUMS: A FINANCIAL LOSS PREMIUM PRINCIPLE AND EXTREME VALUE MODELING
title_full ANALYZING AND PREDICTING CAT BOND PREMIUMS: A FINANCIAL LOSS PREMIUM PRINCIPLE AND EXTREME VALUE MODELING
title_fullStr ANALYZING AND PREDICTING CAT BOND PREMIUMS: A FINANCIAL LOSS PREMIUM PRINCIPLE AND EXTREME VALUE MODELING
title_full_unstemmed ANALYZING AND PREDICTING CAT BOND PREMIUMS: A FINANCIAL LOSS PREMIUM PRINCIPLE AND EXTREME VALUE MODELING
title_sort analyzing and predicting cat bond premiums: a financial loss premium principle and extreme value modeling
publisher Cambridge University Press (CUP)
publishDate 2017
url http://dx.doi.org/10.1017/asb.2017.32
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0515036117000320
genre Fort McMurray
genre_facet Fort McMurray
op_source ASTIN Bulletin
volume 48, issue 1, page 375-411
ISSN 0515-0361 1783-1350
op_rights https://www.cambridge.org/core/terms
op_doi https://doi.org/10.1017/asb.2017.32
container_title ASTIN Bulletin
container_volume 48
container_issue 1
container_start_page 375
op_container_end_page 411
_version_ 1810444279217127424