A subsampling approach to estimating the distribution of diversing statistics with application to assessing financial market risks
| Contribuinte(s) |
Universitat Pompeu Fabra. Departament d'Economia i Empresa |
|---|---|
| Data(s) |
15/09/2005
|
| Resumo |
In this paper we propose a subsampling estimator for the distribution ofstatistics diverging at either known rates when the underlying timeseries in strictly stationary abd strong mixing. Based on our results weprovide a detailed discussion how to estimate extreme order statisticswith dependent data and present two applications to assessing financialmarket risk. Our method performs well in estimating Value at Risk andprovides a superior alternative to Hill's estimator in operationalizingSafety First portofolio selection. |
| Identificador | |
| Idioma(s) |
eng |
| Direitos |
L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons info:eu-repo/semantics/openAccess <a href="http://creativecommons.org/licenses/by-nc-nd/3.0/es/">http://creativecommons.org/licenses/by-nc-nd/3.0/es/</a> |
| Palavras-Chave | #Statistics, Econometrics and Quantitative Methods #resampling methods #extreme value statistics #value at risk #portofolio selection |
| Tipo |
info:eu-repo/semantics/workingPaper |
