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Asymptotic normality of the Conditional Value-at-Risk based Pickands estimator

  • Stony Brook University

Research output: Contribution to journalArticlepeer-review

Abstract

We show weak convergence of the empirical Conditional Value-at-Risk (CVaR) in functional space and the asymptotic normality of the CVaR-based Pickands estimator from Chen (2021). These results demonstrate that the CVaR-based estimator has significantly lower asymptotic variance than analogous VaR-based constructions.

Original languageEnglish
Article number110411
JournalStatistics and Probability Letters
Volume223
DOIs
StatePublished - Aug 2025

Keywords

  • Asymptotic normality
  • Conditional Value-at-Risk
  • Extreme value index
  • Pickands estimator
  • Second-order regular variation

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