Article ID Journal Published Year Pages File Type
9506806 Applied Mathematics and Computation 2005 7 Pages PDF
Abstract
An approach to VaR (value-at-risk) for capital markets is proposed with Gaussian mixture. Considering the impacts of the components in a Gaussian mixture, an approach to VaR for capital markets is proposed to describe risk structure in capital markets. This approach can be programmed in parallel. Empirical computation of VaR for China securities markets and the Forex markets are provided to demonstrate the proposed method.
Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
Authors
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