Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/62681 
Year of Publication: 
2001
Series/Report no.: 
SFB 373 Discussion Paper No. 2001,54
Publisher: 
Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes, Berlin
Abstract: 
Qualitative and quantitative properties of the Cornish-Fisher-Expansion in the context of Delta-Gamma-Normal approaches to the computation of Value at Risk are presented. Some qualitative deficiencies of the Cornish-Fisher-Expansion - the monotonicity of the distribution function as well as convergence are not guaranteed - make it seem unattractive. In many practical situations, however, its actual accuracy is more than sufficient and the Cornish-Fisher-approximation can be computed faster (and simpler) than other methods like numerical Fourier inversion. This paper tries to provide a balanced view on when and when not to use Cornish-Fisher in this context.
Subjects: 
Value at Risk
Delta-Gamma-Normal
Cornish-Fisher expansion
Edgeworth series
Gram-Charlier series
JEL: 
C10
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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