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Spanning Tests in Return and Stochastic Discount Factor Mean Variance Frontiers: A Unifying Approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Peñaranda, Francisco
Sentana, Enrique
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We propose new approaches to test for spanning in the return and stochastic discount factor mean-variance frontiers, which assess if either the centred or uncentred mean and cost representing portfolios are shared by the initial and extended sets of assets. We show that our proposed tests are asymptotically equivalent to the existing spanning tests under the null and sequences of local alternatives, and analyse their asymptotic relative efficiency. We also extend the theory of optimal GMM inference to deal with the singularities that arise in some spanning tests. Finally, we include an empirical application to money markets in Europe.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
4422.
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Date of creation: Jun 2004Date of revision:
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Keywords: asset pricing asymptotic slopes GMM matrix representing portfolios singular covariance Other versions of this item:
Find related papers by JEL classification: C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
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