Abstract
We discuss the pricing and risk management problems of standard European-style options in a Markovian regime-switching binomial model. Due to the presence of an additional source of uncertainty described by a Markov chain, the market is incomplete, so the no-arbitrage condition is not sufficient to fix a unique pricing kernel, hence, a unique option price. Using the minimal entropy martingale measure, we determine a pricing kernel. We examine numerically the performance of a simple hedging strategy by investigating the terminal distribution of hedging errors and the associated risk measures such as Value at Risk and Expected Shortfall. The impacts of the frequency of re-balancing the hedging portfolio and the transition probabilities of the modulating Markov chain on the quality of hedging are also discussed.
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References
Boyle P.P., Siu T.K, Yang H.: Risk and probability measures. Risk 15, 53–57 (2002)
Buffington J., Elliott R.J.: American options with regime switching. Int J Theor Appl Finance 5, 497–514 (2002)
Davis M.H.A.: Option Pricing in Incomplete Market. Cambridge University Press, Cambridge (1997)
Elliott R.J., Chan L., Siu T.K.: Option pricing and escher transform under regime switching. Ann. Finance 4, 423–432 (2005)
Elliott R.J., Siu T.K.: Pricing and hedging contingent claims with regime switching risk. Commun Math Sci 9(2), 477–498 (2011a)
Elliott R.J., Siu T.K.: A stochastic differential game for optimal investment of an insurer with regime switching. Quant Finance 11(3), 365–380 (2011b)
Follmer H., Schweizer M.: Hedging of contingent claims under incomplete information. Gordon and Breach, London (1991)
Föllmer, H., Sondermann, D.: Hedging of contingent claims under incomplete information. In: Hildenbrand, W., Mas-Colell, A. (eds.) Contributions to Mathematical Economics, pp 205–23. (1986)
Frittelli M.: The minimal entropy martingale measure and the valuation problem in incomplete markets. Math Finance 10, 39–52 (2000)
Gerber H.U., Shiu E.S.W.: Option pricing by escher transforms (with discussions). Trans Soc Actuar 46, 99–191 (1994)
Goldfield S.M., Quandt R.E.: A markov model for switching regressions. J Econ 1, 3–16 (1973)
Guo X.: An explicit solution to an optimal stopping problem with regime switching. J Appl Probab 38(2), 464–481 (2001)
Hamilton J.D.: A new approach to the economic analysis of non-stationary time series and the business cycle. Econometrica 57, 357–384 (1989)
Hardy M.R.: A regime-switching model of long-term stock returns. N Am Actuar J 5, 41–45 (2001)
Harrison J.M., Kreps D.M.: Martingales and arbitrage in multi-period securities markets. J Econ Theory 20(3), 381–408 (1979)
Harrison J.M., Pliska S.R.: Martingales and stochastic integrals in the theory of continuous trading. Stoch Process Appl 11, 215–260 (1981)
Harrison J.M, Pliska S.R.: A stochastic calculus model of continuous trading: complete markets. Stoch Process Appl 15, 313–316 (1983)
Liew C.C., Siu T.K.: A hidden markov regime-switching model for option valuation. Insur Math Econ 47(3), 374–384 (2010)
Naik V.: Option valuation and hedging strategies with jumps in the volatility of asset returns. J Finance 48(5), 1964–1984 (1993)
Quandt P.E: The estimation of parameters of linear regression system obeying two separate regime. J Am Stat Assoc 55, 873–880 (1958)
Schweizer M.: On minimal martingale measure and and Follmer-Schweizer decomposition. Stoch Anal Appl 13, 573–599 (1995)
Shimazaki H., Shinomoto S.: Kernel bandwidth optimization in spike rate estimatio. J Comput Neurosci 29, 171–182 (2010)
Siu T.K., Yang H.: Option pricing when the regime-switching risk is priced. ACTA Math Appl Sin 25(3), 369–388 (2009)
Tong H.: Threshold Models in Nonlinear Time Series Analysis. Springer, Berlin (1983)
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Fard, F.A., Siu, T.K. Pricing and managing risks of European-style options in a Markovian regime-switching binomial model. Ann Finance 9, 421–438 (2013). https://doi.org/10.1007/s10436-012-0192-3
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DOI: https://doi.org/10.1007/s10436-012-0192-3