Local risk-minimization for Barndorff-Nielsen and Shephard models with volatility risk premium
classification
💱 q-fin.MF
math.PR
keywords
modelsvolatilitybarndorff-nielsenbetashephardlocalpremiumproblem
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We derive representations of local risk-minimization of call and put options for Barndorff-Nielsen and Shephard models: jump type stochastic volatility models whose squared volatility process is given by a non-Gaussian rnstein-Uhlenbeck process. The general form of Barndorff-Nielsen and Shephard models includes two parameters: volatility risk premium $\beta$ and leverage effect $\rho$. Arai and Suzuki (2015, arxiv:1503.08589) dealt with the same problem under constraint $\beta=-\frac{1}{2}$. In this paper, we relax the restriction on $\beta$; and restrict $\rho$ to $0$ instead. We introduce a Malliavin calculus under the minimal martingale measure to solve the problem.
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