Abstract
This paper considers a partial differential equation (PDE) approach to evaluate coherent risk measures for derivative instruments when the dynamics of the risky underlying asset are governed by a Markov-modulated geometric Brownian motion (GBM); that is, the appreciation rate and the volatility of the underlying risky asset switch over time according to the state of a continuous-time hidden Markov chain model which describes the state of an economy. The PDE approach provides market practitioners with a flexible and effective way to evaluate risk measures in the Markov-modulated Black–Scholes model. We shall derive the PDEs satisfied by the risk measures for European-style options, barrier options and American-style options.
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Elliott, R.J., Siu, T.K. & Chan, L. A PDE approach for risk measures for derivatives with regime switching. Annals of Finance 4, 55–74 (2008). https://doi.org/10.1007/s10436-006-0068-5
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DOI: https://doi.org/10.1007/s10436-006-0068-5
Keywords
- Risk measures
- Regime-switching PDE
- Regime-switching HJB equation
- Stochastic optimal control
- Esscher transform
- Delta-neutral hedging
- Jump risk
- American options
- Exotic options