Extreme versions of Wang risk measures and their estimation for heavy-tailed distributions
DOI10.5705/SS.202015.0460zbMath1362.62183OpenAlexW2810971860MaRDI QIDQ2977536
Gilles Stupfler, Jonathan El Methni
Publication date: 18 April 2017
Published in: Statistica Sinica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.5705/ss.202015.0460
asymptotic normalityheavy-tailed distributionextreme-value statisticsdistortion risk measureextreme value-at-riskconditional tail momentadapted estimators
Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70) Extreme value theory; extremal stochastic processes (60G70) Statistics of extreme values; tail inference (62G32)
Related Items (12)
This page was built for publication: Extreme versions of Wang risk measures and their estimation for heavy-tailed distributions