We consider a semi-Markov modulated security market consisting of a riskless asset or bond with constant interest rate and risky asset or stock, whose dynamics follow gemoetric Brownian motion with volatility that depends on semi-Markov process. Two cases for semi-Markov volatilities are studied: local current and local semi-Markov volatilities. Using the martingale characterization of semi-Markov processes, we find the minimal martingale measure for this incomplete market. Then we model and price variance and volatility swaps for local semi-Markov stochastic volatilities. © 2010 A. Swishchuk and R. Manca.
CITATION STYLE
Swishchuk, A., & Manca, R. (2010). Modeling and pricing of variance and volatility swaps for local semi-markov volatilities in financial engineering. Mathematical Problems in Engineering, 2010. https://doi.org/10.1155/2010/537571
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