A Residual Bootstrap for Conditional Value-at-Risk
Eric Beutner,
Alexander Heinemann and
Stephan Smeekes
Papers from arXiv.org
Abstract:
A fixed-design residual bootstrap method is proposed for the two-step estimator of Francq and Zako\"ian (2015) associated with the conditional Value-at-Risk. The bootstrap's consistency is proven for a general class of volatility models and intervals are constructed for the conditional Value-at-Risk. A simulation study reveals that the equal-tailed percentile bootstrap interval tends to fall short of its nominal value. In contrast, the reversed-tails bootstrap interval yields accurate coverage. We also compare the theoretically analyzed fixed-design bootstrap with the recursive-design bootstrap. It turns out that the fixed-design bootstrap performs equally well in terms of average coverage, yet leads on average to shorter intervals in smaller samples. An empirical application illustrates the interval estimation.
Date: 2018-08, Revised 2023-08
New Economics Papers: this item is included in nep-ecm and nep-rmg
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Citations: View citations in EconPapers (11)
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http://arxiv.org/pdf/1808.09125 Latest version (application/pdf)
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Journal Article: A residual bootstrap for conditional Value-at-Risk (2024) 
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1808.09125
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