Tak Kuen Siu (Heriot-Watt University), Hailiang Yang Unim (Hong Kong
University), and John W Lau (Bristol University)
Abstract
Recently, there has been
considerable interest in investigating option valuation problem in the context
of regime-switching models. However, most of the literature
consider the case that the risk due to switching regimes is not priced.
Relatively little attention has been paid to investigate the impact of
switching regimes on the option price when this source of risk is priced. In
this paper, we shall articulate this important problem and consider the pricing
of an option when the price dynamic of the underlying risky asset is governed
by a Markov-modulated geometric Brownian motion. We suppose that the drift and
volatility of the underlying risky asset switch over time according to the
state of an economy, which is modeled by a continuous-time hidden Markov chain.
We shall develop a two-stage pricing model which can price both the diffusion risk
and the regime-switching risk based on the Esscher
transform and the minimization of the maximum entropy between an equivalent
martingale measure and the real-world probability measure over different
states. The latter is called a min-max entropy problem. We shall conduct numerical
experiments to illustrate the effect of pricing regime-switching risk. The
results of the numerical experiments reveal that the impact of pricing
regime-switching risk on the option prices is significant.
JEL Classifications:
G10, G12
Keywords:
Equity Option
valuation; Regime-switching risk; Two-stage pricing procedure; Esscher trans-
form; Martingale restriction; Min-max entropy
problem..
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