Hostname: page-component-669899f699-ggqkh Total loading time: 0 Render date: 2025-04-24T18:21:35.476Z Has data issue: false hasContentIssue false

ANALYTICALLY PRICING EUROPEAN OPTIONS UNDER A TWO-FACTOR STOCHASTIC INTEREST RATE MODEL WITH A STOCHASTIC LONG-RUN EQUILIBRIUM LEVEL

Published online by Cambridge University Press:  19 September 2024

XIN-JIANG HE
Affiliation:
School of Economics, Zhejiang University of Technology, Hangzhou, China; e-mail: [email protected] Institute for Industrial System Modernization, Zhejiang University of Technology, Hangzhou, China
SHA LIN*
Affiliation:
School of Finance, Zhejiang Gongshang University, Hangzhou, China

Abstract

We construct a new stochastic interest rate model with two stochastic factors, by introducing a stochastic long-run equilibrium level into the Vasicek interest rate model which follows another Ornstein–Uhlenbeck process. With the interest rate under the Black–Scholes model being assumed to follow the newly proposed model, a closed-form representation of European option prices is successfully presented, when the analytical characteristic function of the underlying log-price under a forward measure is derived. To assess the model performance, a preliminary empirical study is conducted using S&P 500 index and its options, with the Vasicek model and an alternative two-factor Vasicek model taken as benchmarks.

MSC classification

Type
Research Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Australian Mathematical Publishing Association Inc.

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Abudy, M. and Izhakian, Y., “Pricing stock options with stochastic interest rate”, Int. J. Portfolio Anal. Manag. 1 (2013) 250277; doi:10.1504/IJPAM.2013.054408.CrossRefGoogle Scholar
Bakshi, G., Cao, C. and Chen, Z., “Empirical performance of alternative option pricing models”, J. Finance 52 (1997) 20032049; doi:10.1111/j.1540-6261.1997.tb02749.x.CrossRefGoogle Scholar
Black, F. and Scholes, M., “The pricing of options and corporate liabilities”, J. Political Economy 81 (1973) 637654; doi:10.1086/260062.CrossRefGoogle Scholar
Brigo, D. and Mercurio, F., Interest rate models–theory and practice: with smile, inflation and credit, 2nd edn, Springer Finance (Springer Berlin--Heidelberg, 2006); doi:10.1007/978-3-540-34604-3.Google Scholar
Cao, J., Roslan, T. R. N. and Zhang, W., “Pricing variance swaps in a hybrid model of stochastic volatility and interest rate with regime-switching”, Methodol. Comput. Appl. Probab. 20 (2018) 13591379; doi:10.1007/s11009-018-9624-5.CrossRefGoogle Scholar
Cao, J., Wang, B. and Zhang, W., “Valuation of European options with stochastic interest rates and transaction costs”, Int. J. Comput. Math. 99 (2022) 227239; doi:10.1080/00207160.2021.1925114.CrossRefGoogle Scholar
Chen, L., Interest rate dynamics, derivatives pricing, and risk management, Volume 435 of Lect. Notes in Econom. and Math. Systems (Springer, Berlin--Heidelberg, 2012); doi:10.1007/978-3-642-46825-4.Google Scholar
Chen, S., Luk, B. and Liu, Y., “Application of adaptive simulated annealing to blind channel identification with hoc fitting”, Electron. Lett. 34 (1998) 234235; doi:10.1049/el:19980235.CrossRefGoogle Scholar
Chen, S. and Luk, B. L., “Adaptive simulated annealing for optimization in signal processing applications”, Signal Process. 79 (1999) 117128; doi:10.1016/S0165-1684(99)00084-5.CrossRefGoogle Scholar
Christoffersen, P. and Jacobs, K., “The importance of the loss function in option valuation”, J. Financ. Econ. 72 (2004) 291318; doi:10.1016/j.jfineco.2003.02.001.CrossRefGoogle Scholar
Cox, J. C., Ingersoll, J. E. and Ross, S. A., “A theory of the term structure of interest rates”, in: Theory of valuation (eds. S. Bhattacharya and G. M. Constantinides) (World Scientific, Singapore, 2005) 129164; doi:10.1142/9789812701022_0005.CrossRefGoogle Scholar
Dumas, B., Fleming, J. and Whaley, R. E., “Implied volatility functions: empirical tests”, J. Finance 53 (1998) 20592106; doi:10.1111/0022-1082.00083.CrossRefGoogle Scholar
Elliott, R. J. and Siu, T. K., “On Markov-modulated exponential-affine bond price formulae”, Appl. Math. Finance 16 (2009) 115; doi:10.1080/13504860802015744.CrossRefGoogle Scholar
Elliott, R. J. and Siu, T. K., “Pricing regime-switching risk in an HJM interest rate environment”, Quant. Finance 16 (2016) 17911800; doi:10.1080/14697688.2015.1136078.CrossRefGoogle Scholar
Fan, K., Shen, Y., Siu, T. K. and Wang, R., “An FFT approach for option pricing under a regime-switching stochastic interest rate model”, Comm. Statist. Theory Methods 46 (2017) 52925310; doi:10.1080/03610926.2015.1100740.CrossRefGoogle Scholar
Feng, P. and Qian, J., “Analyzing and forecasting the Chinese term structure of interest rates using functional principal component analysis”, China Finance Rev. Int. 8 (2018) 275296; doi:10.1108/CFRI-06-2017-0065.CrossRefGoogle Scholar
Grzelak, L. A. and Oosterlee, C. W., “On the Heston model with stochastic interest rates”, SIAM J. Financial Math. 2 (2011) 255286; doi:10.1137/090756119.CrossRefGoogle Scholar
He, X.-J. and Lin, S., “Analytically pricing exchange options with stochastic liquidity and regime switching”, J. Futures Markets 43 (2023) 662676; doi:10.1002/fut.22403.CrossRefGoogle Scholar
He, X.-J. and Lin, S., “Analytical formulae for variance and volatility swaps with stochastic volatility, stochastic equilibrium level and regime switching”, AIMS Math. 9 (2024) 2222522238; doi:10.3934/math.20241081.CrossRefGoogle Scholar
He, X.-J. and Lin, S., “Analytically pricing foreign exchange options under a three-factor stochastic volatility and interest rate model: a full correlation structure”, Expert Syst. Appl. 246 (2024) Article ID: 123203; doi:10.1016/j.eswa.2024.123203.CrossRefGoogle Scholar
He, X.-J. and Lin, S., “A probabilistic approach for the valuation of variance swaps under stochastic volatility with jump clustering and regime switching”, Financ. Innov. 10 (2024) Article ID: 114; doi:10.1186/s40854-024-00640-4.CrossRefGoogle Scholar
He, X.-J. and Lin, S., “A stochastic liquidity risk model with stochastic volatility and its applications to option pricing”, Stoch. Models (2024), 120; doi:10.1080/15326349.2024.2332326.CrossRefGoogle Scholar
Heath, D., Jarrow, R. and Morton, A., “Bond pricing and the term structure of interest rates: a discrete time approximation”, J. Financial Quant. Anal. 25 (1990) 419440; doi:10.2307/2331009.CrossRefGoogle Scholar
Heston, S. L., “A closed-form solution for options with stochastic volatility with applications to bond and currency optionsRev. Financial Stud. 6 (1993) 327343; doi:10.1093/rfs/6.2.327.CrossRefGoogle Scholar
Hu, Z., Yang, B.-Z., He, X.-J. and Yue, J., “Equilibrium pricing of European crude oil options with stochastic behaviour and jump risks”, Math. Comput. Simulation 219 (2024) 212230; doi:10.1016/j.matcom.2023.12.020.CrossRefGoogle Scholar
Hull, J. and White, A., “Pricing interest-rate-derivative securities”, Rev. Financial Stud. 3 (1990) 573592; doi:10.1093/rfs/3.4.573.CrossRefGoogle Scholar
Hull, J. C. and White, A. D., “Numerical procedures for implementing term structure models II: two-factor models”, J. Derivatives 2 (1994) 3748; doi:10.3905/jod.1994.407908.CrossRefGoogle Scholar
Ingber, L., “Very fast simulated re-annealing”, Math. Comput. Modell. 12 (1989) 967973; doi:10.1016/0895-7177(89)90202-1.CrossRefGoogle Scholar
Ingber, L., “High-resolution path-integral development of financial options”, Phys. A 283 (2000) 529558; doi:10.1016/S0378-4371(00)00229-6.CrossRefGoogle Scholar
Ingber, L., “Adaptive simulated annealing (ASA): lessons learned”, Preprint, 2000, arXiv:cs/0001018.Google Scholar
Ingber, L., “Home page of Lester Ingber”. https://www.ingber.com.Google Scholar
Kim, Y.-J. and Kunitomo, N., “Pricing options under stochastic interest rates: a new approach”, Asia-Pac. Financ. Markets 6 (1999) 4970; doi:10.1023/A:1010006525552.CrossRefGoogle Scholar
Kirkpatrick, S., Gelatt, C. D. and Vecchi, M. P., “Optimization by simulated annealing”, Science 220 (1983) 671680; doi:10.1126/science.220.4598.671.CrossRefGoogle ScholarPubMed
Liang, Y. and Xu, C., “An efficient conditional Monte Carlo method for European option pricing with stochastic volatility and stochastic interest rate”, Int. J. Comput. Math. 97 (2020) 638655; doi:10.1080/00207160.2019.1584671.CrossRefGoogle Scholar
Lin, S. and He, X.-J., “Closed-form formulae for variance and volatility swaps under stochastic volatility with stochastic liquidity risks”, J. Futures Markets 44 (2024) 14471461; doi: 10.1002/fut.22531.CrossRefGoogle Scholar
Lin, S., Lin, X. and He, X.-J., “Analytically pricing European options with a two-factor Stein–Stein model”, J. Comput. Appl. Math. 440 (2024) Article ID: 115662; doi:10.1016/j.cam.2023.115662.CrossRefGoogle Scholar
Longstaff, F. A. and Schwartz, E. S., “Interest rate volatility and the term structure: a two-factor general equilibrium model”, J. Finance 47 (1992) 12591282; doi:10.1111/j.1540-6261.1992.tb04657.x.Google Scholar
Ma, D. and Tanizaki, H., “Fat-tailed stochastic volatility model and the stock market returns in China”, China Finance Rev. Int. 11 (2021) 170184; doi:10.1108/CFRI-03-2018-0028.CrossRefGoogle Scholar
Merton, R. C., “Theory of rational option pricing”, Bell J. Econ. Manag. Sci. 4 (1973) 141183; doi:10.2307/3003143.CrossRefGoogle Scholar
Mikhailov, S. and Nögel, U., “Heston’s stochastic volatility model: implementation, calibration and some extensions”, Wilmott Mag. 4 (2004) 7479; http://screpey.free.fr/doc/051111_mikh%20heston.pdf.Google Scholar
Rabinovitch, R., “Pricing stock and bond options when the default-free rate is stochastic”, J. Financ. Quant. Anal. 24 (1989) 447457; doi:10.2307/2330978.CrossRefGoogle Scholar
Rindell, K., “Pricing of index options when interest rates are stochastic: an empirical test”, J. Bank. Finance 19 (1995) 785802; doi:10.1016/0378-4266(94)00087-J.CrossRefGoogle Scholar
Shu, J. and Zhang, J. E., “Pricing S&P 500 index options under stochastic volatility with the indirect inference method”, J. Deriv. Account. 1 (2004) 116; doi:10.1142/S021986810400021X.Google Scholar
Stein, E. M. and Stein, J. C., “Stock price distributions with stochastic volatility: an analytic approach”, Rev. Financ. Stud. 4 (1991) 727752; doi:10.1093/rfs/4.4.727.CrossRefGoogle Scholar
Szu, H. and Hartley, R., “Fast simulated annealing”, Phys. Lett. A 122 (1987) 157162; doi:10.1016/0375-9601(87)90796-1.CrossRefGoogle Scholar
Uhlenbeck, G. E. and Ornstein, L. S., “On the theory of the Brownian motion”, Phys. Rev. 36 (1930) Article ID: 823; doi:10.1103/PhysRev.36.823.CrossRefGoogle Scholar
Vasicek, O., “An equilibrium characterization of the term structure”, J. Financ. Econ. 5 (1977) 177188; doi:10.1016/0304-405X(77)90016-2.CrossRefGoogle Scholar
Wilmott, P., “The two best ways to derive the Black–Scholes PDE”, China Finance Rev. Int. 10 (2020) 168174; doi:10.1108/CFRI-12-2018-0153.CrossRefGoogle Scholar