数学季刊 ›› 2017, Vol. 32 ›› Issue (1): 66-78.doi: 10.13371/j.cnki.chin.q.j.m.2017.01.008

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马尔可夫交换Lévy过程模型下的期权定价及其对冲

  

  1. School of Applied Mathematics,Nanjing University of Finance and Economics
  • 收稿日期:2015-11-11 出版日期:2017-03-30 发布日期:2020-10-26
  • 作者简介:SONG Rui-li(1979-), female, native of Linyi, Shandong, an associate professor of Nanjing University of Finance and Economics, Ph.D., engages in stochastic processes.
  • 基金资助:
    Supported by the National Natural Science Foundation of China(11201221); Supported by the Natural Science Foundation of Jiangsu Province(BK2012468);

Option Pricing and Hedging under a Markov Switching Lévy Process Model

  1. School of Applied Mathematics,Nanjing University of Finance and Economics
  • Received:2015-11-11 Online:2017-03-30 Published:2020-10-26
  • About author:SONG Rui-li(1979-), female, native of Linyi, Shandong, an associate professor of Nanjing University of Finance and Economics, Ph.D., engages in stochastic processes.
  • Supported by:
    Supported by the National Natural Science Foundation of China(11201221); Supported by the Natural Science Foundation of Jiangsu Province(BK2012468);

摘要: In this paper, we consider a Markov switching Lévy process model in which the underlying risky assets are driven by the stochastic exponential of Markov switching Lévy process and then apply the model to option pricing and hedging. In this model, the market interest rate, the volatility of the underlying risky assets and the N-state compensator,depend on unobservable states of the economy which are modeled by a continuous-time Hidden Markov process. We use the MEMM(minimal entropy martingale measure) as the equivalent martingale measure. The option price using this model is obtained by the Fourier transform method. We obtain a closed-form solution for the hedge ratio by applying the local risk minimizing hedging. 

关键词: Markov chain model, MEMM, Lévy process, option pricing, hedging

Abstract: In this paper, we consider a Markov switching Lévy process model in which the underlying risky assets are driven by the stochastic exponential of Markov switching Lévy process and then apply the model to option pricing and hedging. In this model, the market interest rate, the volatility of the underlying risky assets and the N-state compensator,depend on unobservable states of the economy which are modeled by a continuous-time Hidden Markov process. We use the MEMM(minimal entropy martingale measure) as the equivalent martingale measure. The option price using this model is obtained by the Fourier transform method. We obtain a closed-form solution for the hedge ratio by applying the local risk minimizing hedging. 

Key words: Markov chain model, MEMM; Lévy process, option pricing, hedging

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