The general moments expansion and its applications for financial risk

Ñíguez, T.M. and Perote, J. (2008) The general moments expansion and its applications for financial risk. In: 2nd International Workshop on Computational and Financial Econometrics, June 2008, Neuchâtel, Switzerland..

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This paper presents a family of distributions based on what we name GeneralMoments Expansions (GME).We show that the GME preserves the flexibility and good performance of the densities based on Edgeworth and Gram-Charlier series for modelling asset returns. Nevertheless the GME is simpler and more general, since it can be straightforwardly applied to expand any distribution with finite moments up to the truncation order. The goodness-of-fit of a GME using the Normal as basis is tested and compared to both the Gaussian and Student’s t by means of an empirical application for forecasting financial risk.

Item Type: Conference or Workshop Item (Paper)
Subjects: University of Westminster > Westminster Business School
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Date Deposited: 07 Apr 2009 15:17
Last Modified: 14 Sep 2017 13:26

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