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Censoring and its impact on multivariate testing of the Capital Asset Pricing Model

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  • Robert Brooks
  • Robert Faff
  • Tim Fry
  • Emma Newton

Abstract

The primary objective of this paper is to assess the affect of data 'censoring' on asset pricing tests. This is achieved by modifying tests to incorporate a 'selectivity bias' correction factor in a Gibbons (Journal of Financial Economics, 10, pp. 3-27, 1982) multivariate framework. The sample comprises daily Australian stock returns for 524 companies over the five-year period 1995 to 1999. First, it is found that the use of a 'selectivity bias' correction factor is generally justified in stocks with a degree of censoring at about 50% or above. This represents approximately 52% of the sample. Second, despite the first finding no evidence is found supporting the need for such a correction in asset pricing tests - the degree of support for the CAPM is not materially affected.

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  • Robert Brooks & Robert Faff & Tim Fry & Emma Newton, 2004. "Censoring and its impact on multivariate testing of the Capital Asset Pricing Model," Applied Financial Economics, Taylor & Francis Journals, vol. 14(6), pages 413-420.
    • Handle: RePEc:taf:apfiec:v:14:y:2004:i:6:p:413-420
    DOI: 10.1080/09603100410001673649
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    2. Bissoondoyal-Bheenick, Emawtee & Brooks, Robert D., 2010. "Does volume help in predicting stock returns? An analysis of the Australian market," Research in International Business and Finance, Elsevier, vol. 24(2), pages 146-157, June.

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