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Testing downside risk efficiency under market distress Author info | Abstract | Publisher info | Download info | Related research | Statistics Jesus Gonzalo
Jose Olmo
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In moments of distress downside risk measures like Lower Partial Moments (LPM) are more appropriate than the standard variance to characterize risk. The goal of this paper is to study how to compare portfolios in these situations. In order to do that we show the close connection between mean-risk efficiency sets and stochastic dominance under distress episodes of the market, and use the latter property to propose a hypothesis test to discriminate between portfolios across risk aversion levels. Our novel family of test statistics for testing stochastic dominance under distress makes allowance for testing orders of dominance higher than zero, for general forms of dependence between portfolios and can be extended to residuals of regression models. These results are illustrated in the empirical application for data from US stocks. We show that mean-variance strategies are stochastically dominated by mean-risk efficient sets in episodes of financial distress.
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Paper provided by Universidad Carlos III, Departamento de Economía in its series Economics Working Papers with number
we084321.
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Date of creation: Sep 2008Date of revision:
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Keywords: Comovements ; Downside risk ; Lower partial moments ; Market Distress ; Mean-risk models ; Mean-variance models ; Stochastic dominance ; Other versions of this item:
Find related papers by JEL classification: C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables G1 - Financial Economics - - General Financial Markets
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