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Pricing European Options under Fractional Black–Scholes Model with a Weak Payoff Function

Author

Listed:
  • Farshid Mehrdoust

    (University of Guilan)

  • Ali Reza Najafi

    (University of Guilan)

Abstract

The purpose of this paper is to obtain an explicit solutions of the fractional Black–Scholes model with a weak payoff function. To do this, we derive fractional Black–Scholes equation by creating a self-financing portfolio strategy under Leland’s strategy. Then, we use the Mellin transform method for solving this equation and obtain the price of a European option as a particular case of the proposed solution. A sensitivity analysis is carried out through numerical experiments which shows the differences between Black–Scholes model and the fractional Black–Scholes model. Moreover, an empirical analysis shows that the fractional Black–Scholes model with Hurst exponent greater than one-half is more precise to predict the real market prices than the classical Black–Sholes model.

Suggested Citation

  • Farshid Mehrdoust & Ali Reza Najafi, 2018. "Pricing European Options under Fractional Black–Scholes Model with a Weak Payoff Function," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 685-706, August.
    • Handle: RePEc:kap:compec:v:52:y:2018:i:2:d:10.1007_s10614-017-9715-3
    DOI: 10.1007/s10614-017-9715-3
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    References listed on IDEAS

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    1. Leland, Hayne E, 1985. "Option Pricing and Replication with Transactions Costs," Journal of Finance, American Finance Association, vol. 40(5), pages 1283-1301, December.
    2. Yuri M. Kabanov & (*), Mher M. Safarian, 1997. "On Leland's strategy of option pricing with transactions costs," Finance and Stochastics, Springer, vol. 1(3), pages 239-250.
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    7. Rostek, S. & Schöbel, R., 2013. "A note on the use of fractional Brownian motion for financial modeling," Economic Modelling, Elsevier, vol. 30(C), pages 30-35.
    8. Wang, Xiao-Tian & Wu, Min & Zhou, Ze-Min & Jing, Wei-Shu, 2012. "Pricing European option with transaction costs under the fractional long memory stochastic volatility model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1469-1480.
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    10. Ballestra, Luca Vincenzo & Pacelli, Graziella & Radi, Davide, 2016. "A very efficient approach for pricing barrier options on an underlying described by the mixed fractional Brownian motion," Chaos, Solitons & Fractals, Elsevier, vol. 87(C), pages 240-248.
    11. Longjin, Lv & Ren, Fu-Yao & Qiu, Wei-Yuan, 2010. "The application of fractional derivatives in stochastic models driven by fractional Brownian motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4809-4818.
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    Cited by:

    1. Wei-Guo Zhang & Zhe Li & Yong-Jun Liu & Yue Zhang, 2021. "Pricing European Option Under Fuzzy Mixed Fractional Brownian Motion Model with Jumps," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 483-515, August.

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