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PRICING VULNERABLE EUROPEAN OPTIONS WITH STOCHASTIC CORRELATION

Published online by Cambridge University Press:  12 January 2017

Xingchun Wang*
Affiliation:
School of International Trade and Economics, University of International Business and Economics, Beijing 100029, People's Republic of China E-mails: [email protected]; [email protected]

Abstract

In this paper, we present a new pricing model for vulnerable options, with time-varying variances for each asset described by Generalized Autoregressive Conditional Heteroscedasticity processes and correlated with the return of the asset. By connecting the underlying asset and the counterparty's assets through the market factor channel, the proposed model also captures stochastic correlation between the underlying asset return and the return of the counterparty's assets. The correlation depends on the levels of the variances of both assets and the market index as well. In the proposed framework, the closed-form solution for vulnerable options is derived and numerical results are presented to investigate the impact of counterparty default risk.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2017 

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References

1. Arora, N., Gandhi, P., & Longstaff, F. (2012). Counterparty credit risk and the credit default swap market. Journal of Financial Economics 103: 280293.CrossRefGoogle Scholar
2. Black, F. & Scholes, M. (1973). The valuation of options and corporate liabilities. Journal of Political Economy 8: 637659.CrossRefGoogle Scholar
3. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics 81: 301327.Google Scholar
4. Brigo, D., Capponi, A., & Pallavicini, A. (2014). Arbitrage-free bilateral counterparty risk valuation under collateralization and application to credit default swaps. Mathematical Finance 24: 125146.Google Scholar
5. Christoffersen, P., Jacobs, K., & Ornthanalai, C. (2012). Dynamic jump intensities and risk premiums: evidence from S&P500 returns and options. Journal of Financial Economics 106: 447472.Google Scholar
6. Christoffersen, P., Jacobs, K., Ornthanalai, C., & Wang, Y. (2008). Option valuation with long-run and short-run volatility components. Journal of Financial Economics 90: 272297.Google Scholar
7. Cox, J., Ingersoll, J., & Ross, S. (1985). A theory of the term structure of interest rates. Econometrica 53: 385407.CrossRefGoogle Scholar
8. Crépey, S. (2015). Bilateral counterparty risk under funding constraints, part I: pricing. Mathematical Finance 25: 122.Google Scholar
9. Crépey, S. (2015). Bilateral counterparty risk under funding constraints, part II: CVA. Mathematical Finance 25: 2350.Google Scholar
10. Duan, J. (1995). The GARCH option pricing model. Mathematical Finance 5: 1332.CrossRefGoogle Scholar
11. Duan, J. (1997). Augmented GARCH (p, q) process and its diffusion limit. Journal of Econometrics 79: 97127.CrossRefGoogle Scholar
12. Duan, J., Gauthier, G., & Simonato, J. (1999). An analytical approximation for the GARCH option pricing model. Journal of Computational Finance 2: 75116.Google Scholar
13. Dumas, B., Fleming, J., & Whaley, R. (1998). Implied volatility functions: empirical tests. Journal of Finance 53: 20592106.CrossRefGoogle Scholar
14. Durham, G., Geweke, J., & Ghosh, P. (2015). A comment on Christoffersen, Jacobs, and Ornthanalai (2012). Dynamic jump intensities and risk premiums: evidence from S&P500 returns and options. Journal of Financial Economics 115: 210214.CrossRefGoogle Scholar
15. Heston, S. (1993). A closed-form solution for options with stochastic volatility with applications to bond and currency options. Review of Financial Studies 6: 327343.Google Scholar
16. Heston, S. & Nandi, S. (2000). A closed-form GARCH option valuation model. Review of Financial Studies 13: 585625.Google Scholar
17. Hull, J. & White, A. (1987). The pricing of options on assets with stochastic volatilities. Journal of Finance 42: 281300.CrossRefGoogle Scholar
18. Johnson, H. & Stulz, R. (1987). The pricing of options with default risk. Journal of Finance 42: 267280.Google Scholar
19. Kendall, M. & Stuart, A. (1977). The advanced theory of statistics. Vol. 1, New York: Macmillan.Google Scholar
20. Klein, P. (1996). Pricing Black–Scholes options with correlated credit risk. Journal of Banking and Finance 20: 12111229.CrossRefGoogle Scholar
21. Klein, P. & Inglis, M. (2001). Pricing vulnerable European options when the option's payoff can increase the risk of financial distress. Journal of Banking and Finance 25: 9931012.Google Scholar
22. Liao, S. & Huang, H. (2005). Pricing Black–Scholes options with correlated interest rate risk and credit risk: an extension. Quantitative Finance 5: 443457.CrossRefGoogle Scholar
23. Merton, R. (1973). Theory of rational option pricing. Bell Journal of Economics and Management Science 4: 141183.Google Scholar
24. Nelson, D. (1990). ARCH models as diffusion approximations. Journal of Econometrics 45: 738.Google Scholar
25. Ritchken, P. & Trevor, R. (1999). Pricing options under generalized GARCH and stochastic volatility processes. Journal of Finance 54: 377402.Google Scholar
26. Scott, L. (1987). Option pricing when the variance changes randomly: theory, estimation, and an application. Journal of Financial and Quantitative Analysis 22: 419438.Google Scholar
27. Shephard, N. (1991). From characteristic function to a distribution function: A simple framework for theory. Econometric Theory 7: 519529.Google Scholar
28. Tian, L., Wang, G., Wang, X., & Wang, Y. (2014). Pricing vulnerable options with correlated credit risk under jump-diffusion processes. Journal of Futures Markets 34: 957979.Google Scholar
29. Wang, G. & Wang, X. (2016). Pricing vulnerable options with stochastic volatility. Submitted.Google Scholar
30. Wang, X. (2016). The pricing of catastrophe equity put options with default risk. International Review of Finance 16: 181201.Google Scholar
31. Wang, X. (2016). Analytical valuation of vulnerable options in a discrete-time framework. Probability in the Engineering and Informational Sciences, https://doi.org/10.1017/S0269964816000292, forthcoming.Google Scholar
32. Wang, X., Song, S., & Wang, Y. (2016). The valuation of power exchange options with counterparty risk and jump risk. Journal of Futures Markets, DOI: 10.1002/fut.21803, forthcoming.Google Scholar
33. Yang, S., Lee, M., & Kim, J. (2014). Pricing vulnerable options under a stochastic volatility model. Applied Mathematics Letters 34: 712.CrossRefGoogle Scholar