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Valuation of European-style vulnerable options under the non-affine stochastic volatility and double exponential jump

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  • Huang, Shoude
  • Guo, Xunxiang

Abstract

The pricing of European-style vulnerable option when the price process of the underlying asset follows non-affine stochastic volatility and double exponential jump is investigated. An approximate expression for the joint characteristic function of the log-price of underlying asset and the log-value of counterparty asset is derived. An analytical approximate price of European-style vulnerable option is also obtained by means of Fourier-cosine method. Numerical experiments are given to confirm the accuracy and efficiency of the proposed result for pricing the European-style vulnerable option compared with Monte Carlo simulation. Finally, sensitivity analysis is presented to further explain the theoretical results.

Suggested Citation

  • Huang, Shoude & Guo, Xunxiang, 2022. "Valuation of European-style vulnerable options under the non-affine stochastic volatility and double exponential jump," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    • Handle: RePEc:eee:chsofr:v:158:y:2022:i:c:s0960077922002132
    DOI: 10.1016/j.chaos.2022.112003
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    1. Peter Christoffersen & Kris Jacobs & Karim Mimouni, 2010. "Volatility Dynamics for the S&P500: Evidence from Realized Volatility, Daily Returns, and Option Prices," Review of Financial Studies, Society for Financial Studies, vol. 23(8), pages 3141-3189, August.
    2. Li, Zhe & Zhang, Wei-Guo & Liu, Yong-Jun & Zhang, Yue, 2019. "Pricing discrete barrier options under jump-diffusion model with liquidity risk," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 347-368.
    3. Lihui Tian & Guanying Wang & Xingchun Wang & Yongjin Wang, 2014. "Pricing Vulnerable Options with Correlated Credit Risk Under Jump‐Diffusion Processes," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(10), pages 957-979, October.
    4. Johnson, Herb & Stulz, Rene, 1987. "The Pricing of Options with Default Risk," Journal of Finance, American Finance Association, vol. 42(2), pages 267-280, June.
    5. Wang, Guanying & Wang, Xingchun & Zhou, Ke, 2017. "Pricing vulnerable options with stochastic volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 485(C), pages 91-103.
    6. Hull, John & White, Alan, 1995. "The impact of default risk on the prices of options and other derivative securities," Journal of Banking & Finance, Elsevier, vol. 19(2), pages 299-322, May.
    7. Lee, Min-Ku & Yang, Sung-Jin & Kim, Jeong-Hoon, 2016. "A closed form solution for vulnerable options with Heston’s stochastic volatility," Chaos, Solitons & Fractals, Elsevier, vol. 86(C), pages 23-27.
    8. Zhuo Huang & Chen Tong & Tianyi Wang, 2020. "Which volatility model for option valuation in China? Empirical evidence from SSE 50 ETF options," Applied Economics, Taylor & Francis Journals, vol. 52(17), pages 1866-1880, April.
    9. S. G. Kou, 2002. "A Jump-Diffusion Model for Option Pricing," Management Science, INFORMS, vol. 48(8), pages 1086-1101, August.
    10. Fang, Fang & Oosterlee, Kees, 2008. "A Novel Pricing Method For European Options Based On Fourier-Cosine Series Expansions," MPRA Paper 9319, University Library of Munich, Germany.
    11. Yong Ma & Keshab Shrestha & Weidong Xu, 2017. "Pricing Vulnerable Options with Jump Clustering," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(12), pages 1155-1178, December.
    12. Darrell Duffie & Jun Pan & Kenneth Singleton, 2000. "Transform Analysis and Asset Pricing for Affine Jump-Diffusions," Econometrica, Econometric Society, vol. 68(6), pages 1343-1376, November.
    13. Heston, Steven L, 1993. "A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options," Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 327-343.
    14. Huawei Niu & Dingcheng Wang, 2016. "Pricing vulnerable options with correlated jump-diffusion processes depending on various states of the economy," Quantitative Finance, Taylor & Francis Journals, vol. 16(7), pages 1129-1145, July.
    15. Marjon Ruijter & Kees Oosterlee, 2012. "Two-dimensional Fourier cosine series expansion method for pricing financial options," CPB Discussion Paper 225, CPB Netherlands Bureau for Economic Policy Analysis.
    16. Sumei Zhang & Junhao Geng, 2017. "Fourier-cosine method for pricing forward starting options with stochastic volatility and jumps," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(20), pages 9995-10004, October.
    17. Klein, Peter, 1996. "Pricing Black-Scholes options with correlated credit risk," Journal of Banking & Finance, Elsevier, vol. 20(7), pages 1211-1229, August.
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    Cited by:

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