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Markov modulated jump-diffusions for currency options when regime switching risk is priced

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  • David Liu

    (Department of Mathematical Sciences, Xi’an Jiaotong-Liverpool University (XJTLU), SIP, Suzhou, Jiangsu, P. R. China)

Abstract

In the current literature, regime-switching risk is NOT priced in the Markov-modulated jump-diffusion models for currency options. We therefore develop a hidden Markov-modulated jump-diffusion model under the regime-switching economy where the regime-switching risk is priced. In the model, the dynamics of the spot foreign exchange rate captures both the rare events and the time-inhomogeneity in the fluctuating currency market. In particular, the rare events are described by a compound Poisson process with log-normal jump amplitude, and the time-varying rates are formulated by a continuous-time finite-state Markov chain. Unlike previous research, the proposed model can price regime-switching risk, in addition to diffusion risk and jump risk, based on the Esscher transform conditional on a single initial regime of economy. Numerical experiments are conducted and their results reveal that the impact of pricing regime-switching risk on the currency option prices does not seem significant in contradictory to the findings made by Siu and Yang [Siu, TK and H Yang (2009). Option Pricing When The Regime-Switching Risk is priced. Acta Mathematicae Applicatae Sinica, English Series, Vol. 25, No. 3, pp. 369–388].

Suggested Citation

  • David Liu, 2019. "Markov modulated jump-diffusions for currency options when regime switching risk is priced," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(04), pages 1-26, December.
  • Handle: RePEc:wsi:ijfexx:v:06:y:2019:i:04:n:s2424786319500385
    DOI: 10.1142/S2424786319500385
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    Cited by:

    1. David Liu & An Wei, 2022. "Regulated LSTM Artificial Neural Networks for Option Risks," FinTech, MDPI, vol. 1(2), pages 1-11, June.

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