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A Test of the CAPM on Philippine Common Stocks

Author

Listed:
  • Joel C. Yu

    (College of Business Administration, University of the Philippines Diliman, Quezon City)

Abstract

This paper presents the results of an empirical test of the capital asset pricing model (CAPM) on the returns on Philippine common stocks from 1990 to 2000. The test uses the two-step cross sectional regression (CSR) procedure to compute for the beta of each asset and the parameters of the Sharpe-Lintner version of the CAPM. The basic data used in the study consist of average monthly returns of 50 representative common stocks drawn from a stratified random sampling process. Test results show that there are sub-periods that support the predictions of the CAPM, but other sub-periods yield results that run counter to the CAPM predictions. These results are unaltered after incorporating the Shanken correction factor that addresses the error-in-variables problem inherent in CSR. Further tests also show that, in the short run, factors other than risk explain the cross section of asset returns and that the relationship between return and risk may not be linear.

Suggested Citation

  • Joel C. Yu, 2002. "A Test of the CAPM on Philippine Common Stocks," Philippine Review of Economics, University of the Philippines School of Economics and Philippine Economic Society, vol. 39(1), pages 121-141, June.
    • Handle: RePEc:phs:prejrn:v:39:y:2002:i:1:p:121-141
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    File URL: http://pre.econ.upd.edu.ph/index.php/pre/article/view/58/563
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    Cited by:

    1. Rodolfo Aquino, 2006. "A variance equality test of the ICAPM on Philippine stocks: post-Asian financial crisis period," Applied Economics, Taylor & Francis Journals, vol. 38(3), pages 353-362.

    More about this item

    Keywords

    Asset pricing; capital asset pricing model;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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