EconPapers    
Economics at your fingertips  
 

Beyond the Sample: Extreme Quantile and Probability Estimation

Jon Danielsson and Casper de Vries

FMG Discussion Papers from Financial Markets Group

Abstract: Economic problems such as large claims analysis in insurance and value-at-risk in finance, require assessment of the probability P of extreme realizations Q. This paper provides a semi-parametric method for estimation of extreme (P,Q) combinations for data with heavy tails. We solve the long standing problem of estimating the sample threshold of where the tail of the distribution starts. This is accomplished by the combination of a control variate type device and a subsample bootstrap technique. The subsample bootstrap attains convergence in probability, whereas the full sample bootstrap would only provide convergence in distribution. This permits a complete and comprehensive treatment of extreme (P,Q) estimation.

Date: 1998-07
References: Add references at CitEc
Citations: View citations in EconPapers (25)

Downloads: (external link)
http://www.lse.ac.uk/fmg/workingPapers/discussionPapers/fmg_pdfs/dp298.pdf (application/pdf)

Related works:
Working Paper: Beyond the sample: extreme quantile and probability estimation (1998) Downloads
Working Paper: Beyond the Sample: Extreme Quantile and Probability Estimation (1998) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:fmg:fmgdps:dp298

Access Statistics for this paper

More papers in FMG Discussion Papers from Financial Markets Group
Bibliographic data for series maintained by The FMG Administration ().

 
Page updated 2025-03-30
Handle: RePEc:fmg:fmgdps:dp298