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Sorting Out Sorts

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  • Jonathan B. Berk

Abstract

In this paper we analyze the theoretical implications of sorting data into groups and then running asset pricing tests within each group. We show that the way this procedure is implemented introduces a severe bias in favor of rejecting the model under consideration. By simply picking enough groups to sort into even the true asset pricing model can be shown to have no explanatory power within each group.

Suggested Citation

  • Jonathan B. Berk, 1998. "Sorting Out Sorts," NBER Technical Working Papers 0235, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberte:0235
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    1. Litzenberger, Robert H. & Ramaswamy, Krishna, 1979. "The effect of personal taxes and dividends on capital asset prices : Theory and empirical evidence," Journal of Financial Economics, Elsevier, vol. 7(2), pages 163-195, June.
    2. Daniel, Kent & Titman, Sheridan, 1997. "Evidence on the Characteristics of Cross Sectional Variation in Stock Returns," Journal of Finance, American Finance Association, vol. 52(1), pages 1-33, March.
    3. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    4. Kim, Dongcheol, 1995. "The Errors in the Variables Problem in the Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 50(5), pages 1605-1634, December.
    5. Lo, Andrew W & MacKinlay, A Craig, 1990. "Data-Snooping Biases in Tests of Financial Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 3(3), pages 431-467.
    6. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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