Bayesian Inference and Portfolio Efficiency
Shmuel Kandel (deceased)
Robert E. McCulloch
University of Chicago - Booth School of Business
Robert F. Stambaugh
University of Pennsylvania - The Wharton School; National Bureau of Economic Research (NBER)
NBER Working Paper No. t0134
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.
Number of Pages in PDF File: 47working papers series
Date posted: December 29, 2006
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