A Subsampling Approach to Estimating the Distribution of Diversing Statistics with Application to Assessing Financial Market Risks
UPF, Economics and Business Working Paper No. 599
39 Pages Posted: 24 Oct 2002
Date Written: December 2001
In this paper we propose a subsampling estimator for the distribution of statistics diverging at either known rates when the underlying time series in strictly stationary and strong mixing. Based on our results we provide a detailed discussion how to estimate extreme order statistics with dependent data and present two applications to assessing financial market risk. Our method performs well in estimating Value at Risk and provides a superior alternative to Hill's estimator in operationalizing Safety First portofolio selection.
Keywords: Resampling methods, extreme value statistics, value at risk, portofolio selection
JEL Classification: C14, C49, G11
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