Estimation of the marginal expected shortfall under asymptotic independence

Juanjuan Cai, Eni Musta*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

8 Citations (Scopus)
94 Downloads (Pure)

Abstract

We study the asymptotic behavior of the marginal expected shortfall when the two random variables are asymptotic independent but positively associated, which is modeled by the so-called tail dependent coefficient. We construct an estimator of the marginal expected shortfall, which is shown to be asymptotically normal. The finite sample performance of the estimator is investigated in a small simulation study. The method is also applied to estimate the expected amount of rainfall at a weather station given that there is a once every 100 years rainfall at another weather station nearby.

Original languageEnglish
Pages (from-to)56-83
Number of pages28
JournalScandinavian Journal of Statistics
Volume47 (2020)
Issue number1
DOIs
Publication statusPublished - 2019

Keywords

  • asymptotic independence
  • marginal expected shortfall
  • tail dependence coefficient

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