Calculation method for portfolio's value at risk based on principal factor analysis

In this paper, we propose principal factor analysis method to reduce the dimensions of a high dimensional random vector in calculating portfolio's value at risk. The theoretical foundation, algorithm and numerical example of the method are given. This method outperforms the principal component analysis method. Especially, the advantages of the method are marked, while the factors F's multicollinearity is serious.