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The Errors in the Variables Problem in the Cross-Section of Expected Stock Returns

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  • Kim, Dongcheol

Abstract

Recent research has documented the failure of market beta to capture the cross-section of expected returns within the context of a two-pass estimation methodology. However, the two-pass methodology suffers from the errors-in-variables (EIV) problem that could attenuate the apparent significance of market beta. This article provides a new correction for the EIV problem that is robust to conditional heteroscedasticity. After the correction, I find more support for the role of market beta and less support for the role of firm size in explaining the cross-section of expected returns. While the EIV correction leads to a diminished role of firm size, the size variable remains a significant force in explaining the cross-section of expected returns. Copyright 1995 by American Finance Association.

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Bibliographic Info

Article provided by American Finance Association in its journal Journal of Finance.

Volume (Year): 50 (1995)
Issue (Month): 5 (December)
Pages: 1605-34

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Handle: RePEc:bla:jfinan:v:50:y:1995:i:5:p:1605-34

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Cited by:
  1. Balduzzi, Pierluigi & Robotti, Cesare, 2008. "Mimicking Portfolios, Economic Risk Premia, and Tests of Multi-Beta Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 354-368.
  2. Crama, Y. & Leruth, L. & Renneboog, L.D.R. & Urbain, J-P., 1999. "Corporate Governance Structures, Control and Performance in European Markets: A Tale of Two Systems," Discussion Paper 1999-97, Tilburg University, Center for Economic Research.
  3. Wayne E. Ferson & Campbell R. Harvey, 1999. "Conditioning Variables and the Cross-Section of Stock Returns," NBER Working Papers 7009, National Bureau of Economic Research, Inc.
  4. Argiro Svingou, 2013. "Cross-sectional Analysis of Stock Returns in Athens Stock Exchange for the Period 2004-2011," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 63(1-2), pages 100-120, June.
  5. Yadav, Pradeep K. & Bardong, Florian & Bartram, Söhnke M., 2009. "Informed trading, information asymmetry and pricing of information risk: Empirical evidence from the NYSE," CFR Working Papers 09-08, University of Cologne, Centre for Financial Research (CFR).
  6. Don U.A. Galagedera, 2004. "A survey on risk-return analysis," Finance 0406010, EconWPA.
  7. Ron Balvers & Ding Du & Xiaobing Zhao, 2009. "What Do Financial Markets Reveal about Global Warming?," Working Papers 09-04, Department of Economics, West Virginia University.
  8. Cable, J & Holland, K, 1996. "Modelling Normal Returns in Event Studies: A Model-Selection Approach and Pilot Study," Working Papers 96-13, University of Wales, Aberystwyth, Department of Economics.
  9. Wayne E. Ferson & Campbell R. Harvey, 1996. "Fundamental Determinants of National Equity Market Returns: A Perspective on Conditional Asset Pricing," NBER Working Papers 5860, National Bureau of Economic Research, Inc.
  10. Alexandra Tabova, 2013. "Portfolio diversification and the cross-sectional distribution of foreign investment," International Finance Discussion Papers 1091, Board of Governors of the Federal Reserve System (U.S.).
  11. J. Cable & K. Holland, 1999. "Modelling normal returns in event studies: a model-selection approach and pilot study," The European Journal of Finance, Taylor & Francis Journals, vol. 5(4), pages 331-341.
  12. Jonathan B. Berk, 1998. "Sorting Out Sorts," NBER Technical Working Papers 0235, National Bureau of Economic Research, Inc.
  13. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer, vol. 26(1), pages 3-38, March.
  14. Murtazashvili, Irina & Vozlyublennaia, Nadia, 2012. "The performance of cross-sectional regression tests of the CAPM with non-zero pricing errors," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1057-1066.

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