江汉大学学报(自然科学版) ›› 2021, Vol. 49 ›› Issue (6): 34-41.doi: 10.16389/j.cnki.cn42-1737/n.2021.06.004

• 数学 • 上一篇    下一篇

基于复合分数泊松模型的台风风暴潮债券定价

张勇,张节松*   

  1. 淮北师范大学 经济与管理学院,安徽 淮北 235000
  • 发布日期:2021-12-17
  • 通讯作者: 张节松
  • 作者简介:张勇(1995— ),男,硕士生,研究方向:巨灾债券定价。
  • 基金资助:
    安徽省高校自然科学研究重点项目(KJ2019A0607);教育部人文社会科学研究青年基金项目(17YJC630212)

Pricing of Typhoon Storm Surge Bonds Based on Compound Fractional Poisson Model

ZHANG Yong,ZHANG Jiesong*   

  1. School of Economics and Management,Huaibei Normal University,Huaibei 235000,Anhui,China
  • Published:2021-12-17
  • Contact: ZHANG Jiesong

摘要: 为描述我国台风风暴潮发生时间间隔的记忆特性,采用一类新型风险模型——复合分数泊松模型刻画台风风暴潮风险,并研究台风风暴潮债券的定价问题。通过蒙特卡罗模拟方法,得到累积损失分布的概率解,并运用Wang 两因素定价模型给出了我国台风风暴潮灾害债券价格问题。结果表明:随着期限的增加,债券价格出现单调减、先增后减或单调增等多种变化趋势,与记忆参数密切相关。这为更准确地评估我国台风风暴潮巨灾风险及其债券的科学定价提供了理论支持。

关键词: Mittag-Leffler 分布, 复合分数泊松过程, 蒙特卡罗模拟, 台风风暴潮债券

Abstract: In order to describe the memory characteristics of the occurrence time interval of typhoon storm surge in China,the compound fractional Poisson model,was adopted to describe the risk of typhoon storm surge and to study the pricing problem of typhoon storm surge bonds. Based on the Monte Carlo simulation method,the probability solution of cumulative loss distribution was obtained,and the price problem of typhoon storm surge disaster bonds in China was given by Wang two factor pricing model. The results showed that with the increase of maturity,the bond price tended to decrease,increase first and then decrease,or increase monotonously,which was closely related to memory parameters. It provides theoretical support for the more accurate assessment of typhoon storm surge catastrophe risk and the scientific pricing of bonds in China.

Key words: Mittag-Leffler distribution, compound fractional Poisson process, Monte Carlo simulation, typhoon storm surge bond

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