Catastrophe Bond and Risk Modeling: A Review and Calibration Using Chinese Earthquake Loss Data

被引:6
|
作者
Wu, Desheng [1 ]
Zhou, Yingying [2 ]
机构
[1] Univ Toronto, RiskLab, Toronto, ON M5S 3G8, Canada
[2] Dalian Univ Technol, Sch Management Sci Adv Sci & Technol, Dalian, Liaoning, Peoples R China
来源
HUMAN AND ECOLOGICAL RISK ASSESSMENT | 2010年 / 16卷 / 03期
关键词
catastrophe bonds; earthquake; loss data; jump diffusion; Markov chain Monte Carlo; VALUATION; REINSURANCE; MCMC;
D O I
10.1080/10807031003788592
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Earthquake risks are attracting increased attention as a result of recent catastrophic events such as the Wenchuan earthquake in China. This article aims to select, tailor, and develop loss modeling methods for catastrophic insurance. We review the state-of-the-art approaches in modeling catastrophe losses for catastrophe bonds' modeling and pricing. The methods are applied to the 1966-2008 losses resulted from the earthquakes in China. Various error measures are proposed for validating catastrophe modeling. Results suggest that the double exponential jump-diffusion model fits the data well.
引用
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页码:510 / 523
页数:14
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