Closed-Form Formulae for European Options Under Three-Factor Models

Joanna Goard

Communications in Mathematics and Statistics ›› 2020, Vol. 8 ›› Issue (4) : 379 -408.

PDF
Communications in Mathematics and Statistics ›› 2020, Vol. 8 ›› Issue (4) : 379 -408. DOI: 10.1007/s40304-018-00176-x
Article

Closed-Form Formulae for European Options Under Three-Factor Models

Author information +
History +
PDF

Abstract

In this paper, we derive new closed-form valuations to European options under three-factor hybrid models that include stochastic interest rates and stochastic volatility and incorporate a nonzero covariance structure between factors. We make novel use of the empirically proven 3/2 stochastic volatility model with a time-dependent drift in which we are free to choose the moving reversion target. This model has been shown by many authors to empirically outperform other volatility models in maximising model fit. We also improve the valuation of European options under the Heston volatility and Cox, Ingersoll, Ross interest rate model, recently published in the literature, by replacing open-form infinite series with closed-form analytic expressions. For completeness, we also add a fuller covariance structure in this setting and detail closed-form valuations for options. The inclusion of nonzero covariances amongst the factors can significantly improve option pricing by allowing for a wider variety of market behaviour. The solutions are derived by firstly formulating the price of a European call option in terms of the corresponding characteristic function of the underlying price and then determining a partial differential equation for the characteristic function. By including empirically proven models into our analysis, the options formulae could provide more realistic prices for investors and practitioners.

Keywords

European option valuation / Stochastic volatility / Stochastic interest rates / Heston model / 3/2 model

Cite this article

Download citation ▾
Joanna Goard. Closed-Form Formulae for European Options Under Three-Factor Models. Communications in Mathematics and Statistics, 2020, 8(4): 379-408 DOI:10.1007/s40304-018-00176-x

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Abramowitz M, Stegun IA. Handbook of Mathematical Functions. 1965 New York: Dover Publications

[2]

Abudy M, Izhakian Y. Pricing stock options with stochastic interest rate. Int. J. Portf. Anal. Manag.. 2013, 1 3 250-277

[3]

Alam, M.M., Uddin, G.: Relationship between interest rate and stock price: empirical evidence from developed and developing countries. Int. J. Bus. Manag. 4(3), 43–51 (2009). https://ssrn.com/abstract=2941281

[4]

Andreasen, J.: Closed-form pricing of FX options under stochastic rates and volatility. In: Global Derivatives Conference, ICBI (2006)

[5]

Antonov, A., Arneguy, M., Audet, N.: Markovian projection to a displaced volatility Heston model. In: 2008 Working Paper (2008). http://ssrn.com/abstract=1106223

[6]

Bakshi G, Cao C, Chen Z. Empirical performance of alternative option pricing models. J. Financ.. 1997, 52 5 2003-2049

[7]

Bakshi G, Ju N, Ou-Yang H. Estimation of continuous-time models with an application to equity volatility dynamics. J. Financ. Econ.. 2006, 82 1 227-249

[8]

Bailey, W., Stulz, R.M.: The pricing of stock index options in a general equilibrium model. J. Financ. Quant. Anal. 24(1), 1–12 (1989). http://www.jstor.org/stable/2330744

[9]

Black, F., Scholes, M.: The pricing of options and corporate liabilities. J. Polit. Econ. 81, 637–659 (1973). https://www.journals.uchicago.edu/doi/10.1086/260062

[10]

Brigo D, Mercurio F. Interest Rate Models—Theory and Practice: With Smile, Inflation and Credit. 2007 Berlin: Springer

[11]

Carr P, Geman H, Madan DB, Yor M. Stochastic volatility for Lévy processes. Math. Financ.. 2003, 13 3 345-382

[12]

Carr P, Wu L. What type of process underlies options? A simple robust test. J. Financ.. 2003, 58 6 2581-2610

[13]

Chacko G, Viceira LM. Spectral GMM estimation of continuous-time processes. J. Econ.. 2003, 116 259-292

[14]

Christoffersen P, Jacobs K, Mimouni K. Volatility dynamics for the S&P500: evidence from realized volatility, daily returns and option prices. Rev. Financ. Stud.. 2010, 23 8 3141-3189

[15]

Drimus GG. Options on realized variance by transform methods: a non-affine stochastic volatility model. Quant. Financ.. 2012, 12 11 1679-1694

[16]

Ballester L, Ferrer R, Gonzlez C. Linear and nonlinear interest rate sensitivity of Spanish banks. Span. Rev. Financ. Econ.. 2011, 9 2 35-48

[17]

Flannery, M., James, C.M.: The effect of interest rate changes on the common stock returns of financial institutions. J. Financ. 39(4), 1141–1153 (1984). https://EconPapers.repec.org/RePEc:bla:jfinan:v:39:y:1984:i:4:p:1141-53

[18]

Giese, A.: On the pricing of auto-callable equity securities in the presence of stochastic volatility and stochastic interest rates. Presentation (2006). https://www.scribd.com/document/273887110/Auto-Call-Able-s

[19]

Goard J. New solutions to the bond-pricing equation via Lie’s classical method. Math. Comput. Model.. 2000, 32 299-313

[20]

Grzelak, L.A., Oosterlee, C.W.: On the Heston model with stochastic interest rates. SIAM J. Financ. Math. 2(1), 255–286 (2011). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1382902

[21]

Grzelak LA, Oosterlee CW, Van Weeren S. Extension of stochastic volatility equity models with the Hull–White interest rate process. Quan. Financ.. 2012, 12 1 89-105

[22]

Haowen F. European option pricing formula under stochastic interest rate. Prog. Appl. Math.. 2012, 4 1 14-21

[23]

He X-J, Zhu S-P. A closed-form pricing formula for European options under the Heston model with stochastic interest rate. J. Comput. Appl. Math.. 2017, 1 11

[24]

Heston SL. A closed-form solution for options with stochastic volatility with applications to bond and currency options. Rev. Financ. Stud.. 1993, 6 327-343

[25]

Hull J, White A. The pricing of options on assets with stochastic volatility. J. Financ.. 1987, 42 281-300

[26]

Hunter C, Picot G. Nicholson L. Hybrid derivatives: financial engines of the future. The Euromoney Derivatives and Risk Management Handbook 2005/2006. 2006 London: Euromoney Books

[27]

Jones C. The dynamics of stochastic volatility: evidence from underlying and options markets. J. Econ.. 2003, 116 181-224

[28]

Kim Y-J. Option pricing under stochastic interest rates: an empirical investigation. Asia Pac. Financ. Mark.. 2002, 9 1 23-44

[29]

Lewis AL. Option Valuation Under Stochastic Volatility. 2000 Newport Beach: Finance Press

[30]

Maplesoft Maple. 12 Users Manual. 2008 Waterloo: Maplesoft

[31]

Rindell K. Pricing of index options when interest rates are stochastic: an empirical test. J. Bank. Financ.. 1995, 19 5 785-802

[32]

Schöbel R, Zhu J. Stochastic volatility with an Ornstein–Uhlenbeck process: an extension. Rev. Financ.. 1999, 3 1 23-46

[33]

Scott LO. Option pricing when the variance changes randomly: theory, estimation and an application. J. Financ. Quant. Anal.. 1987, 22 419-438

[34]

Stein, E.M., Stein, J.C.: Stock price distributions with stochastic volatility: an analytical approach. Rev. Financ. Stud. 4, 727–752 (1991). https://scholar.harvard.edu/stein/publications/stock-price-distributions-stochastic-volatility-analytic-approach

[35]

Van Haastrecht, A., Lord, R., Pelssser, A., Schrager, D.F.: Pricing long-maturity equity and FX derivatives with stochastic interest rates and stochastic volatility. Insur. Math. Econ. 45, 436–448 (2009). https://www.researchgate.net/publication/228163489_Pricing_Long-Maturity_Equity_and_FX_Derivatives_with_Stochastic_Interest_Rates_and_Stochastic_Volatility

[36]

Wiggins J. Option values under stochastic volatility: theory and empirical estimates. J. Financ. Econ.. 1987, 19 351-372

[37]

Wilmott P. Derivatives: the theory and practice of financial engineering. 1997 New York: Wiley

AI Summary AI Mindmap
PDF

251

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/