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TITLE:
Tail risk measures using flexible parametric distributions - RP:4681

Author, as appears in the article.:Prieto, Faustino
Chuliá, Helena
Guillen, Montserrat
Sarabia, José María
Journal publication year:2019
Publication Type:##rt.metadata.pkp.peerReviewed##
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
Abstract:We propose a new type of risk measure for non-negative random variables that focuses on the tail of the distribution. The measure is inspired in general parametric distributions that are well-known in the statistical analysis of the size of income. We derive simple expressions for the conditional moments of these distributions, and we show that they are suitable for analysis of tail risk. The proposed method can easily be implemented in practice because it provides a simple one-step way to compute value-at-risk and tail value-at-risk. We show an illustration with currency exchange data. The data and implementation are open access for reproducibility.
Keywords:Moments
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