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Erschienen in: Review of Derivatives Research 2/2018

25.09.2017

Pricing exotic options in a regime switching economy: a Fourier transform method

verfasst von: Peter Hieber

Erschienen in: Review of Derivatives Research | Ausgabe 2/2018

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Abstract

This article considers the valuation of digital, barrier, and lookback options in a Markovian, regime-switching, Black–Scholes model. In Fourier space, integral representations for the option prices are derived via the theory on matrix Wiener–Hopf factorizations. Our main focus is on the 2-state case where the matrix Wiener–Hopf factorization is available analytically. A comparison to several numerical alternatives (analytical approximations, the Brownian bridge algorithm and a finite element scheme) demonstrates that the pricing formulas are easy to implement and lead to accurate price estimates.

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Fußnoten
1
(Numerical) solutions to the (matrix) Wiener–Hopf factorization are possible in more general model settings [see, among others, Boyarchenko and Levendorskiĭ (2008), Jiang and Pistorius (2008), Kudryavtsev and Levendorskiĭ (2012), Mijatović and Pistorius (2013)].
 
2
An intensity matrix has negative diagonal and non-negative off-diagonal entries. Each row sums up to zero.
 
3
Note that in the single barrier case there might be a positive probability that the barrier is never hit. In this case, \(f_{a,\,-\infty }(t,\pi _0)\) is still a density if the probability of never hitting the barrier is attributed to \(t=\infty \).
 
4
We denote by \(\mathcal {Q}_M\) the class of irreducible \(M\times M\) generator matrices (non-negative off-diagonal entries and non-positive row sums).
 
5
This contains the implicit assumption that the eigenvectors \(v_i\) form a basis, an assumption that turned out to be sufficient in practical applications [see, e.g., Rogers and Shi (1994)]. It is possible to construct artificial examples where such a basis does not exist. The following steps of Algorithm 1 can then be modified using a basis of Jordan vectors.
 
6
In the Black–Scholes model with volatility \(\sigma \), option prices for digital and lookback options are given by [see, for e.g., Reiner and Rubinstein (1991)]
$$\begin{aligned} \overline{\mathcal {D}}(S_0,T,\varvec{\pi }_{\varvec{0}})&= \Phi \Bigg ( \frac{\ln (B/S_0) - \big (r-\sigma ^2/2\big )T}{\sigma \sqrt{T}} \Bigg ) - e^{ \big (\frac{2r}{\sigma ^2}-1\big )\ln (S_0/K)}\, \Phi \Bigg ( \frac{\ln (B/S_0) + \big (r-\sigma ^2/2\big )T}{\sigma \sqrt{T}} \Bigg ),\\ \overline{\mathcal {L}}(S_0,T,\varvec{\pi }_{\varvec{0}})&= S_0\,e^{-rt} \Big ( 1 - \frac{\sigma ^2}{2r} \Big )\, \Phi \Bigg ( \frac{\big (-r+\sigma ^2/2\big )T}{\sigma \sqrt{T}} \Bigg ) + S_0 \Big ( 1 + \frac{\sigma ^2}{2r} \Big )\, \Phi \Bigg ( \frac{\big (-r-\sigma ^2/2\big )T}{\sigma \sqrt{T}} \Bigg ), \end{aligned}$$
where \(B:=\exp (b)\).
 
Literatur
Zurück zum Zitat Abramowitz, M., & Stegun, I. A. (1965). Handbook of Mathematical Functions. New York: Dover Publications Inc. Abramowitz, M., & Stegun, I. A. (1965). Handbook of Mathematical Functions. New York: Dover Publications Inc.
Zurück zum Zitat Ang, A., & Bekaert, G. (2002). Regime switches in interest rates. Journal of Business & Economic Statistics, 20(2), 163–182.CrossRef Ang, A., & Bekaert, G. (2002). Regime switches in interest rates. Journal of Business & Economic Statistics, 20(2), 163–182.CrossRef
Zurück zum Zitat Asmussen, S. (1995). Stationary distributions for fluid flow models with or without Brownian noise. Communications in Statistics. Stochastic models, 11(1), 21–49.CrossRef Asmussen, S. (1995). Stationary distributions for fluid flow models with or without Brownian noise. Communications in Statistics. Stochastic models, 11(1), 21–49.CrossRef
Zurück zum Zitat Barlow, M. T., Rogers, L. C. G., & Williams, D. (1990). Wiener–Hopf factorization for matrices. Lecture Notes in Mathematics, 784, 324–331.CrossRef Barlow, M. T., Rogers, L. C. G., & Williams, D. (1990). Wiener–Hopf factorization for matrices. Lecture Notes in Mathematics, 784, 324–331.CrossRef
Zurück zum Zitat Black, F., & Scholes, M. (1973). The pricing of options and corporate liabilities. The Journal of Political Economy, 81(3), 637–654.CrossRef Black, F., & Scholes, M. (1973). The pricing of options and corporate liabilities. The Journal of Political Economy, 81(3), 637–654.CrossRef
Zurück zum Zitat Boyarchenko, S., & Levendorskiĭ, S. (2008). Exit problems in regime-switching models. Journal of Mathematical Economics, 44, 180–206.CrossRef Boyarchenko, S., & Levendorskiĭ, S. (2008). Exit problems in regime-switching models. Journal of Mathematical Economics, 44, 180–206.CrossRef
Zurück zum Zitat Boyle, P., & Draviam, T. (2007). Pricing exotic options under regime switching. Insurance: Mathematics and Economics, 40, 267–282. Boyle, P., & Draviam, T. (2007). Pricing exotic options under regime switching. Insurance: Mathematics and Economics, 40, 267–282.
Zurück zum Zitat Buffington, J., & Elliott, R. J. (2002). American options with regime switching. International Journal of Theoretical and Applied Finance, 5, 497–514.CrossRef Buffington, J., & Elliott, R. J. (2002). American options with regime switching. International Journal of Theoretical and Applied Finance, 5, 497–514.CrossRef
Zurück zum Zitat Carr, P., & Madan, D. B. (1999). Option valuation using the fast Fourier transform. Journal of Computational Finance, 2, 61–73.CrossRef Carr, P., & Madan, D. B. (1999). Option valuation using the fast Fourier transform. Journal of Computational Finance, 2, 61–73.CrossRef
Zurück zum Zitat Chan, L., & Zhu, S.-P. (2015). An explicit analytic formula for pricing barrier options with regime switching. Mathematics and Financial Economics, 9(1), 29–37.CrossRef Chan, L., & Zhu, S.-P. (2015). An explicit analytic formula for pricing barrier options with regime switching. Mathematics and Financial Economics, 9(1), 29–37.CrossRef
Zurück zum Zitat Chen, S.-S. (2009). Predicting the bear stock market: Macroeconomic variables as leading indicators. Journal of Banking & Finance, 33, 211–223.CrossRef Chen, S.-S. (2009). Predicting the bear stock market: Macroeconomic variables as leading indicators. Journal of Banking & Finance, 33, 211–223.CrossRef
Zurück zum Zitat Choi, S. (2009). Regime-switching univariate diffusion models of the short-term interest rate. Studies in Nonlinear Dynamics & Econometrics, 13, 1–41.CrossRef Choi, S. (2009). Regime-switching univariate diffusion models of the short-term interest rate. Studies in Nonlinear Dynamics & Econometrics, 13, 1–41.CrossRef
Zurück zum Zitat De Olivera, F., & Mordecki, E. (2016). Computing Greeks for Lévy models: The Fourier transform approach. In A. Pinto, E. Accinelli Gamba, A. Yannacopoulos, & C. Hervés-Beloso (Eds.), Trends in Mathematical Economics (pp. 99–121). Springer International Publishing. De Olivera, F., & Mordecki, E. (2016). Computing Greeks for Lévy models: The Fourier transform approach. In A. Pinto, E. Accinelli Gamba, A. Yannacopoulos, & C. Hervés-Beloso (Eds.), Trends in Mathematical Economics (pp. 99–121). Springer International Publishing.
Zurück zum Zitat Elliott, R. J., Chan, L., & Siu, T. K. (2005). Option pricing and Esscher transform under regime switching. Annals of Finance, 1(4), 423–432.CrossRef Elliott, R. J., Chan, L., & Siu, T. K. (2005). Option pricing and Esscher transform under regime switching. Annals of Finance, 1(4), 423–432.CrossRef
Zurück zum Zitat Elliott, R. J., Siu, T. K., & Chan, L. (2014). On pricing barrier options with regime switching. Journal of Computational and Applied Mathematics, 256, 196–210.CrossRef Elliott, R. J., Siu, T. K., & Chan, L. (2014). On pricing barrier options with regime switching. Journal of Computational and Applied Mathematics, 256, 196–210.CrossRef
Zurück zum Zitat Eloe, P., Liu, R. H., & Sun, J. Y. (2009). Double barrier option under regime-switching exponential mean-reverting process. International Journal of Computer Mathematics, 86(6), 964–981.CrossRef Eloe, P., Liu, R. H., & Sun, J. Y. (2009). Double barrier option under regime-switching exponential mean-reverting process. International Journal of Computer Mathematics, 86(6), 964–981.CrossRef
Zurück zum Zitat Erlwein, C., & Mamon, R. (2009). An online estimation scheme for a Hull–White model with HMM-driven parameters. Statistical Methods and Applications, 18(1), 87–107.CrossRef Erlwein, C., & Mamon, R. (2009). An online estimation scheme for a Hull–White model with HMM-driven parameters. Statistical Methods and Applications, 18(1), 87–107.CrossRef
Zurück zum Zitat Escobar, M., Hieber, P., & Scherer, M. (2014). Efficiently pricing barrier derivatives in stochastic volatility models. Review of Derivatives Research, 17(2), 191–216.CrossRef Escobar, M., Hieber, P., & Scherer, M. (2014). Efficiently pricing barrier derivatives in stochastic volatility models. Review of Derivatives Research, 17(2), 191–216.CrossRef
Zurück zum Zitat Guo, X. (2001a). When the “Bull” meets the “Bear”—A first passage time problem for a hidden Markov process. Methodology and Computing in Applied Probability, 3(2), 135–143.CrossRef Guo, X. (2001a). When the “Bull” meets the “Bear”—A first passage time problem for a hidden Markov process. Methodology and Computing in Applied Probability, 3(2), 135–143.CrossRef
Zurück zum Zitat Guo, X. (2001b). An explicit solution to an optimal stopping problem with regime switching. Journal of Applied Probability, 38, 464–481.CrossRef Guo, X. (2001b). An explicit solution to an optimal stopping problem with regime switching. Journal of Applied Probability, 38, 464–481.CrossRef
Zurück zum Zitat Hamilton, J. D. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57(2), 357–384.CrossRef Hamilton, J. D. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57(2), 357–384.CrossRef
Zurück zum Zitat Hardy, M. R. (2001). A regime-switching model of long-term stock returns. North American Actuarial Journal, 3, 185–211. Hardy, M. R. (2001). A regime-switching model of long-term stock returns. North American Actuarial Journal, 3, 185–211.
Zurück zum Zitat Henry, O.-T. (2009). Regime switching in the relationship between equity returns and short-term interest rates in the UK. Journal of Banking and Finance, 33, 406–416.CrossRef Henry, O.-T. (2009). Regime switching in the relationship between equity returns and short-term interest rates in the UK. Journal of Banking and Finance, 33, 406–416.CrossRef
Zurück zum Zitat Hieber, P. (2014a). First-passage times of regime switching models. Statistics & Probability Letters, 92, 148–157.CrossRef Hieber, P. (2014a). First-passage times of regime switching models. Statistics & Probability Letters, 92, 148–157.CrossRef
Zurück zum Zitat Hieber, P. (2014b). A correction note on: When the “Bull” meets the “Bear”—A first passage time problem for a hidden Markov process. Methodology and Computing in Applied Probability, 16(3), 771–776.CrossRef Hieber, P. (2014b). A correction note on: When the “Bull” meets the “Bear”—A first passage time problem for a hidden Markov process. Methodology and Computing in Applied Probability, 16(3), 771–776.CrossRef
Zurück zum Zitat Hieber, P., & Scherer, M. (2010). Efficiently pricing barrier options in a Markov-switching framework. Journal of Computational and Applied Mathematics, 235, 679–685.CrossRef Hieber, P., & Scherer, M. (2010). Efficiently pricing barrier options in a Markov-switching framework. Journal of Computational and Applied Mathematics, 235, 679–685.CrossRef
Zurück zum Zitat Jiang, Z., & Pistorius, M. R. (2008). On perpetual American put valuation and first-passage in a regime-switching model with jumps. Finance and Stochastics, 12(3), 331–355.CrossRef Jiang, Z., & Pistorius, M. R. (2008). On perpetual American put valuation and first-passage in a regime-switching model with jumps. Finance and Stochastics, 12(3), 331–355.CrossRef
Zurück zum Zitat Kennedy, J., & Williams, D. (1990). Probabilistic factorization of a quadratic matrix polynomial. Mathematical Proceedings of the Cambridge Philosophical Society, 107, 591–600.CrossRef Kennedy, J., & Williams, D. (1990). Probabilistic factorization of a quadratic matrix polynomial. Mathematical Proceedings of the Cambridge Philosophical Society, 107, 591–600.CrossRef
Zurück zum Zitat Kim, M. A., Jang, B.-G., & Lee, H.-S. (2008). A first-passage-time model under regime-switching market environment. Journal of Banking & Finance, 32, 2617–2627.CrossRef Kim, M. A., Jang, B.-G., & Lee, H.-S. (2008). A first-passage-time model under regime-switching market environment. Journal of Banking & Finance, 32, 2617–2627.CrossRef
Zurück zum Zitat Kudryavtsev, O., & Levendorskiĭ, S. (2012). Fast and accurate pricing of barrier options under Lévy processes. Finance and Stochastics, 13(4), 531–562.CrossRef Kudryavtsev, O., & Levendorskiĭ, S. (2012). Fast and accurate pricing of barrier options under Lévy processes. Finance and Stochastics, 13(4), 531–562.CrossRef
Zurück zum Zitat Lo, C. F., Lee, H. C., & Hui, C. H. (2003). A simple approach for pricing barrier options with time-dependent parameters. Quantitative Finance, 3, 98–107.CrossRef Lo, C. F., Lee, H. C., & Hui, C. H. (2003). A simple approach for pricing barrier options with time-dependent parameters. Quantitative Finance, 3, 98–107.CrossRef
Zurück zum Zitat London, R. R., McKean, H. P., Rogers, L. C. G., & Williams, D. (1982). A martingale approach to some Wiener–Hopf problems. Lecture Notes in Mathematics, 920, 68–90.CrossRef London, R. R., McKean, H. P., Rogers, L. C. G., & Williams, D. (1982). A martingale approach to some Wiener–Hopf problems. Lecture Notes in Mathematics, 920, 68–90.CrossRef
Zurück zum Zitat Metwally, S., & Atiya, A. (2002). Using Brownian bridge for fast simulation of jump-diffusion processes and barrier options. Journal of Derivatives, 10, 43–54.CrossRef Metwally, S., & Atiya, A. (2002). Using Brownian bridge for fast simulation of jump-diffusion processes and barrier options. Journal of Derivatives, 10, 43–54.CrossRef
Zurück zum Zitat Mijatović, A., & Pistorius, M. (2013). Continuously monitored barrier options under Markov process. Mathematical Finance, 23(1), 1–38.CrossRef Mijatović, A., & Pistorius, M. (2013). Continuously monitored barrier options under Markov process. Mathematical Finance, 23(1), 1–38.CrossRef
Zurück zum Zitat Naik, V. (1993). Option valuation and hedging strategies with jumps in the volatility of asset returns. Journal of Finance, 48(5), 1969–1984.CrossRef Naik, V. (1993). Option valuation and hedging strategies with jumps in the volatility of asset returns. Journal of Finance, 48(5), 1969–1984.CrossRef
Zurück zum Zitat Raible, S. (2000). Lévy processes in finance: Theory, numerics, and empirical facts. PhD thesis, Freiburg University. Raible, S. (2000). Lévy processes in finance: Theory, numerics, and empirical facts. PhD thesis, Freiburg University.
Zurück zum Zitat Reiner, E., & Rubinstein, M. (1991). Breaking down the barriers. Risk, 4(8), 28–35. Reiner, E., & Rubinstein, M. (1991). Breaking down the barriers. Risk, 4(8), 28–35.
Zurück zum Zitat Rogers, L. C. G. (1994). Fluid models in queueing theory and Wiener–Hopf factorization of Markov chains. Annals of Applied Probability, 4(2), 390–413.CrossRef Rogers, L. C. G. (1994). Fluid models in queueing theory and Wiener–Hopf factorization of Markov chains. Annals of Applied Probability, 4(2), 390–413.CrossRef
Zurück zum Zitat Rogers, L. C. G., & Shi, Z. (1994). Computing the invariant law of a fluid model. Journal of Applied Probability, 31(4), 885–896.CrossRef Rogers, L. C. G., & Shi, Z. (1994). Computing the invariant law of a fluid model. Journal of Applied Probability, 31(4), 885–896.CrossRef
Metadaten
Titel
Pricing exotic options in a regime switching economy: a Fourier transform method
verfasst von
Peter Hieber
Publikationsdatum
25.09.2017
Verlag
Springer US
Erschienen in
Review of Derivatives Research / Ausgabe 2/2018
Print ISSN: 1380-6645
Elektronische ISSN: 1573-7144
DOI
https://doi.org/10.1007/s11147-017-9139-1