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Bayesian Inference and Portfolio Efficiency


Shmuel Kandel (deceased)


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)


REVIEW OF FINANCIAL STUDIES, Volume 8 Issue 1

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 ineffciency can concentrate well away from values consistent with efficiency, even when the port- folio 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.

JEL Classification: G11, G12

Accepted Paper Series


Date posted: October 26, 1999  

Suggested Citation

Kandel (deceased), Shmuel, McCulloch, Robert E. and Stambaugh, Robert F., Bayesian Inference and Portfolio Efficiency. REVIEW OF FINANCIAL STUDIES, Volume 8 Issue 1. Available at SSRN: http://ssrn.com/abstract=5606

Contact Information

Shmuel Kandel (deceased)
Deceased
N/A
Robert E. McCulloch
University of Chicago - Booth School of Business ( email )
5807 S. Woodlawn Avenue
Chicago, IL 60637
United States
Robert F. Stambaugh (Contact Author)
University of Pennsylvania - The Wharton School ( email )
The Wharton School, Finance Department
University of Pennsylvania
Philadelphia, PA 19104-6367
United States
215-898-5734 (Phone)
215-898-6200 (Fax)

National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
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