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Entropy densities

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Author Info
ROCKINGER, Michael
JONDEAU, Eric

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Abstract

The entropy principle yields, for a given set of moments, a density that involves the smallest amount of prior information. We first show how entropy densities may be constructed in a numerically efficient way as the minimization of a potential. Next, for the case where the first four moments are given, we characterize the skewness-kurtosis domain for which densities are defined. This domain is found to be much larger that for Hermite or Edgeworth expansions. Last, we show how this technique can be used to estimate a GARCH model where skewness and kurtosis are time varying.

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File URL: http://www.hec.fr/var/fre/storage/original/application/2a886e93a2c90195b76d331c3a3f6095.pdf
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Publisher Info
Paper provided by HEC Paris in its series Les Cahiers de Recherche with number 709.

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Length: 19 pages
Date of creation: 01 Feb 2000
Date of revision:
Handle: RePEc:ebg:heccah:0709

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Postal: HEC Paris, 78351 Jouy-en-Josas cedex, France
Web page: http://www.hec.fr/
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Related research
Keywords: Entropy; Semi-nonparametric estimation; Time-Varying skewness and Kurtosis; Garch Model;

Find related papers by JEL classification:
C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis
G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

Cited by:
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  1. Patrick Gagliardini & C. Gourieroux & E. Renault, 2005. "Efficient Derivative Pricing by Extended Method of Moments," University of St. Gallen Department of Economics working paper series 2005 2005-05, Department of Economics, University of St. Gallen. [Downloadable!]
  2. POON, Ser-Huang & ROCKINGER, Michael & TAWN, Jonathan, 2001. "New Extreme-Value Dependance Measures and Finance Applications," Les Cahiers de Recherche 719, HEC Paris. [Downloadable!]
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  3. Rockinger, M. & Jondeau, E., 2001. "Conditional Dependency of Financial Series: An Application of Copulas," Documents de Travail 82, Banque de France. [Downloadable!]
  4. Bertholon, H. & Monfort, A. & Pegoraro, F., 2007. "Pricing and Inference with Mixtures of Conditionally Normal Processes," Documents de Travail 188, Banque de France. [Downloadable!]
    Other versions:
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This page was last updated on 2009-12-15.


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