Phénomènes financiers et mélange de lois : Une nouvelle méthode d’estimation des paramètres
AbstractThe main aim of this paper is to examine the qualities of the mixed diffusion-jump process whose parameters are random variables. The hypothesis of a Wiener geometric process applied to exchange rate has become doubtful at the beginning of the nineties, fact determined by a high leptokurtosis of the empirical distributions. The alternative of another distribution was studied in several articles. The mathematical model proposed in this paper has as fundamental hypothesis the fact that the distribution of the continuous part of the changes in the logarithms of exchange rate is a mixture of normals whose parameters are random variables.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 33909.
Date of creation: 06 Oct 2011
Date of revision:
mixed diffusion-jump process; mixture of normals;
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-10-15 (All new papers)
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