Calculating the density and distribution function for the singly and doubly noncentral F
Statistics and Computing
Accurate value-at-risk forecasting based on the normal-GARCH model
Computational Statistics & Data Analysis
Comparison of nonnested asymmetric heteroskedastic models
Computational Statistics & Data Analysis
An analysis of the flexibility of Asymmetric Power GARCH models
Computational Statistics & Data Analysis
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Closed-form approximations for the density and cumulative distribution function of the doubly noncentral t distribution are developed based on saddlepoint methods. They exhibit remarkable accuracy throughout the entire support of the distribution and are vastly superior to existing approximations. An application in finance is considered which capitalizes on the enormous increase in computational speed.