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Currency Barrier Option Pricing with Mean Reversion

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  • Cho-hoi Hui

    (Research Department, Hong Kong Monetary Authority)

Abstract

Currency option traders usually use the Black-Scholes model in which the exchange rate follows a lognormal process. However, it is found that exchange rates may follow a mean-reverting process instead, for example, certain currencies are constrained to move inside target zones or under a managed-floating regime. Different dynamical processes of exchange rates raise uncertainty on the choice of a pricing model for currency options. Such model risk would worsen the market condition when there is an adverse shock on the underlying currency. Financial instability could thus result, if pricing models are not chosen and used properly in the foreign exchange market. Barrier options have emerged as significant products for hedging and investment in the foreign exchange market since the late 1980s, largely in the over-the-counter markets and for structuring financial products (e.g., currency-linked notes). The existence of a barrier option depends upon whether the underlying exchange rate has crossed a predetermined barrier prior to the exercise time. The estimated daily turnover of currency barrier option trading is about US$12 billion. This paper develops a barrier-option pricing model in which the exchange rate follows a mean-reverting lognormal process. The corresponding closed-form solutions for the barrier options with time-dependent barriers are derived. The mean-reverting lognormal process keeps the exchange rate in a range around the mean level. The numerical results show that the parameters of the mean-reverting lognormal process make the valuation of currency barrier options and their hedge parameters different from those obtained from the conventional Black-Scholes model.

Suggested Citation

  • Cho-hoi Hui, 2006. "Currency Barrier Option Pricing with Mean Reversion," Working Papers 0605, Hong Kong Monetary Authority.
  • Handle: RePEc:hkg:wpaper:0605
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    File URL: http://www.info.gov.hk/hkma/eng/research/RM05-2006.pdf
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    Cited by:

    1. Chiu, Hsin-Yu & Chen, Ting-Fu, 2020. "Impact of volatility jumps in a mean-reverting model: Derivative pricing and empirical evidence," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    2. Zhong, Yinhui & Bao, Qunfang & Li, Shenghong, 2015. "FX options pricing in logarithmic mean-reversion jump-diffusion model with stochastic volatility," Applied Mathematics and Computation, Elsevier, vol. 251(C), pages 1-13.
    3. Jeon, Junkee & Kim, Geonwoo, 2022. "Pricing European continuous-installment currency options with mean-reversion," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    4. Chen, Son-Nan & Hsu, Pao-Peng, 2018. "Pricing and hedging barrier options under a Markov-modulated double exponential jump diffusion-CIR model," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 330-346.
    5. Björn Lutz, 2010. "Pricing of Derivatives on Mean-Reverting Assets," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-642-02909-7, December.
    6. Junkee Jeon & Geonwoo Kim, 2022. "Analytic Valuation Formula for American Strangle Option in the Mean-Reversion Environment," Mathematics, MDPI, vol. 10(15), pages 1-19, July.
    7. Wong, Hoi Ying & Lo, Yu Wai, 2009. "Option pricing with mean reversion and stochastic volatility," European Journal of Operational Research, Elsevier, vol. 197(1), pages 179-187, August.
    8. Hsu, Pao-Peng & Chen, Ying-Hsiu, 2012. "Barrier option pricing for exchange rates under the Levy–HJM processes," Finance Research Letters, Elsevier, vol. 9(3), pages 176-181.

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