Multivariate Gauss-Hermite expansions and applications to option pricing
摘要
In this paper, we propose a new multivariate Gauss-Hermite expansion and then consider the pricing of spread options and multi-asset spread options. In the proposed framework, higher-order moments are incorporated, and hence the model can effectively capture the skewness and fat-tailed features. In addition, we derive the pricing formula for European options, spread options and multi-asset spread options as well. Finally, after calibrating the model using real option market data, we undertake comparative analysis to investigate correlation coefficients and (multi-asset) spread option prices. Numerical results show that the dimension reduction approach performs well in valuing multi-asset spread options.