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Estimation of the marginal expected shortfall under asymptotic independence

Research output: Contribution to JournalArticleAcademicpeer-review

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
Issue number1
Early online date2 Jun 2019
DOIs
Publication statusPublished - Mar 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • asymptotic independence
  • marginal expected shortfall
  • tail dependence coefficient

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