Portfolio Formation, Measurement Errors, and Beta Shifts: A Random Sampling Approach?

45 Pages Posted: 3 Dec 2004

See all articles by Bing Liang

Bing Liang

University of Massachusetts Amherst - Department of Finance

Date Written: June 2000

Abstract

We demonstrate that portfolio approach could suffer a serious problem when the sorting variables contain not only true values but also measurement errors. The grouped measurement errors will be embedded into the data used to test financial models and further bias the testing results. To correct for this measurement error problem, we develop a random sampling approach to form portfolios. Results from this new methodology are unbiased and robust. By applying this methodology to investigate beta shifts, we show that the previous results about beta shifts are driven by measurement errors. The actual beta shift pattern is more complicated than that predicted by the previous studies. The risk shift hypothesis is unlikely to explain the De Bondt and Thaler's mean reversion puzzle (1985).

JEL Classification: G14

Suggested Citation

Liang, Bing, Portfolio Formation, Measurement Errors, and Beta Shifts: A Random Sampling Approach? (June 2000). Available at SSRN: https://ssrn.com/abstract=629284 or http://dx.doi.org/10.2139/ssrn.629284

Bing Liang (Contact Author)

University of Massachusetts Amherst - Department of Finance ( email )

Amherst, MA 01003
United States

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