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A comparison of mean-variance efficiency tests

[journal article]

Amengual, Dante; Sentana, Enrique

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Abstract We analyse the asymptotic properties of mean-variance efficiency tests based on generalised methods of moments, and parametric and semiparametric likelihood procedures that assume elliptical innovations. We study the trade-off between efficiency and robustness, and prove that the parametric estimators provide asymptotically valid inferences when the conditional distribution of the innovations is elliptical but possibly misspecificed and heteroskedastic. We compare the small sample performance of the alternative tests in a Monte Carlo study, and find some discrepancies with their asymptotic properties. Finally, we present an empirical application to US stock returns, which rejects the mean-variance efficiency of the market portfolio.
Classification Political Economy; Economic Statistics, Econometrics, Business Informatics
Free Keywords C12; C13; C14; C16; G11; G12; Adaptivity; Elliptical distributions; Financial returns; Portfolio choice; Semiparametric estimators
Document language English
Publication Year 2009
Page/Pages p. 16-34
Journal Journal of Econometrics, 154 (2009) 1
DOI http://dx.doi.org/10.1016/j.jeconom.2009.06.006
Status Postprint; reviewed
Licence PEER Licence Agreement (applicable only to documents from PEER project)
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