Numerical analysis on quadratic hedging strategies for normal inverse Gaussian models

Takuji Arai, Yuto Imai and Ryo Nakashima

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Abstract: The authors aim to develop numerical schemes of the two representative quadratic hedging strategies: locally risk minimizing and mean-variance hedging strategies, for models whose asset price process is given by the exponential of a normal inverse Gaussian process, using the results of Arai et al. \cite{AIS}, and Arai and Imai. Here normal inverse Gaussian process is a framework of L\'evy processes frequently appeared in financial literature. In addition, some numerical results are also introduced.

Date: 2018-01
New Economics Papers: this item is included in nep-cmp and nep-rmg
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