利用地震参数和 STDM 距离分解灾害区域:巨灾债券单期定价

Wulan Anggraeni, Sudradjat Supian, Sukono, Nurfadhlina Abdul Halim
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引用次数: 0

摘要

投资者对单一地区地震巨灾债券的兴趣有可能在未来下降。为了激发投资者的兴趣,可以利用地震参数和时空深度震级(STDM)距离分解灾区来确定巨灾债券的价格。因此,本研究旨在开发一个单期地震巨灾债券定价(DECBP)模型,利用地震参数和 STDM 距离对灾区进行分解。开发该模型的基本思想是根据地震灾害风险指数(EDRI)、地震参数(震级和震源深度)和 STDM 距离对某一地区进行聚类,从而观察该地区的地震特征。本工作中使用的研发方法是通过创建一个数学模型来计算单个时期的地震巨灾债券价格。研发阶段包括区域分解建模、支付函数建模、地震极值分布建模、利率和票面利率预测、数值模拟,以及分析利率、票面利率和区域分解数量对地震债券价格的影响。利率、息票和影响地震事件债券价格的区域分解数量是对已开发模型的分析结果。本研究中产生的模型有望帮助超级目的载体(SPV)确定地震债券的价格,并为未来研究人员开发地震巨灾债券价格模型提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decomposition of Disaster Region using Earthquake Parameter and STDM Distance: Catastrophe Bond Pricing Single Period
Investor interest in single-regional earthquake catastrophe bonds has the potential to decline in the future. To pique investor interest, disaster bond prices can be determined by decomposed disaster zones using seismic parameters and Space Time Depth Magnitude (STDM) distance. Therefore, this study aims to develop a Decomposition of Disaster Region Using Earthquake Parameters and STDM Distance on the Earthquake Catastrophe Bond Pricing (DECBP) model for a single period. The basic idea of developing the model is to observe earthquake characteristics in an area by clustering the area based on the Earthquake Disaster Risk Index (EDRI), earthquake parameters (earthquake magnitude and depth), and STDM distance. The research and development (R&D) methodology used in this work is pursued through the creation of a mathematical model for calculating the price of earthquake catastrophe bonds over a single period. The development stages carried out are regional decomposition modelling, payment functions modelling, distribution of extreme earthquake magnitude values modelling, prediction of interest rates and coupons, numerical simulations, and analysis of the effect of interest rates, coupons, and the amount of regional decomposition on earthquake bond prices. Interest rates, coupons, and the number of regional decompositions that affect bond prices for earthquake events are the results of the analysis of the model that's been developed. The resulting model in this study is expected to assist the Super Purpose Vehicle (SPV) in determining the price of earthquake bonds and serve as a reference for future researchers developing models for the price of earthquake catastrophe bonds.
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