Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/85542 
Year of Publication: 
1998
Series/Report no.: 
Tinbergen Institute Discussion Paper No. 98-016/2
Publisher: 
Tinbergen Institute, Amsterdam and Rotterdam
Abstract: 
Economic problems such as large claims analysis in insurance and value-at-risk in finance, requireassessment of the probability P of extreme realizations Q. This paper provided a semi-parametricmethod for estimation of extreme (P, Q) combinations for data with heavy tails. We solve the longstanding problem of estimating the sample treshold of where the tail of the distribution starts. This isaccomplished 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 wouldonly provide convergence in distribution. This permits a complete and comprehensive treatment ofextreme (P, Q) estimation.
Subjects: 
Extreme value theory
tail estimation
risk analysis
Document Type: 
Working Paper

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