Bayesian Inference and Portfolio Efficiency

Shmuel Kandel, Robert McCulloch and Robert Stambaugh

No 134, NBER Technical Working Papers from National Bureau of Economic Research, Inc

Abstract: A Bayesian approach is used to investigate a sample's information about a portfolio's degree of inefficiency. With standard diffuse priors, posterior distributions for measures of portfolio inefficiency can concentrate well away from values consistent with efficiency, even when the portfolio is exactly efficient in the sample. The data indicate that the NYSE-AMEX market portfolio is rather inefficient in the presence of a riskless asset, although this conclusion is justified only after an analysis using informative priors. Including a riskless asset significantly reduces any sample's ability to produce posterior distributions supporting small degrees of inefficiency.

Date: 1993-05
Note: AP
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Published as in Review of Financial Studies August 1995, pp.1-53.

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Related works:
Journal Article: Bayesian Inference and Portfolio Efficiency (1995)
Working Paper: Bayesian Inference and Portfolio Efficiency (1991)
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