A skewed distribution with asset pricing applications

Frans de Roon, P. Karehnke

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Recent research has identified skewness and downside risk as one of the most important features of risk. We present a new distribution which makes modeling skewed risks no more difficult than normally distributed (symmetric) risks. Our distribution is a combination of the “downside” and “upside” half of two normal distributions, and its parameters can be calculated in closed form to match a given mean, variance, and skewness. Value at risk, expected shortfall, portfolio weights, and risk premia have simple expressions for our distribution and show economically meaningful deviations from the normal case already for very modest levels of skewness. An empirical application suggests that our distribution fits the data well.
Original languageEnglish
Pages (from-to)2169-2197
JournalReview of Finance
Volume21
Issue number6
DOIs
Publication statusPublished - Oct 2017

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Asset pricing
Skewed distribution
Skewness
Deviation
Normal distribution
Expected shortfall
Downside risk
Value at risk
Mean-variance
Modeling
Risk premia

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de Roon, Frans ; Karehnke, P. / A skewed distribution with asset pricing applications. In: Review of Finance. 2017 ; Vol. 21, No. 6. pp. 2169-2197.
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A skewed distribution with asset pricing applications. / de Roon, Frans; Karehnke, P.

In: Review of Finance, Vol. 21, No. 6, 10.2017, p. 2169-2197.

Research output: Contribution to journalArticleScientificpeer-review

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