摘要
本文探讨体制转换跳扩散模型下巨灾权益卖权的定价问题.模型参数,包括无风险利率、保险公司股价的平均回报率和波动率均随着经济状态的变化而改变.文中假设经济环境采用一个连续时间、有限状态、可观测的马尔可夫链来刻画,从而可以将经济条件的变化考虑到产品定价中.通过体制转换Esscher变换选取一个等价鞅测度,然后通过快速傅立叶变换对巨灾权益卖权进行定价.
This paper investigates the pricing of CatEPuts under a Markovian regime-switching jump-diffusion model. The parameters of this model, including the risk-free interest rate, the appreciation rate and the volatility of the clients5 equity, are modulated by a continuous-time, finite-state, observable Markov chain. An equivalent martingale measure is selected by employing the regime-switching Esscher transform. The fast Fourier transform (FFT) technique is applied to price the CatEPuts. In a two-state Markov chain case, numerical example is presented to illustrate the practical implementation of the model.
出处
《应用概率统计》
CSCD
北大核心
2017年第3期285-296,共12页
Chinese Journal of Applied Probability and Statistics
基金
国家自然科学基金项目(批准号:11501211)
上海市浦江人才计划项目(批准号:15PJC026)
上海市哲学社科规划青年课题(批准号:2015EJB002)
中国博士后科学基金第58批面上资助项目(批准号:2015M581564)
上海市晨光计划项目(批准号:15CG22)资助
关键词
巨灾权益卖权
体制转换
ESSCHER变换
快速傅立叶变换
CatEPuts
regime-switching
Esscher transform
fast Fourier transform2010 Mathematics Subject Classification: 60H30