Several empirical studies report violations of the asset-pricing model of Sharpe (1964), Lintner (1965), and Black (1972). But, there is no consensus on specification in this literature, as such studies typically consider only a limited number of explanatory variables and do not satisfactorily control for previous findings. Extreme bound analysis (EBA), an imperfect but useful remedy for model uncertainty, suggests that comparatively few factors are robust. Given the cross-section of expected stock returns from July 1963 through December 2000, three of 23 variables - market size as well as short and medium run lagged return - pass the traditional EBA decision rule given all possible 3-, 4-, and 5-factor models of monthly stock returns. This paper also explores several potential improvements to EBA, including explicit consideration of possible multicollinearity, which largely does not affect the results, as well as sample divisions, which suggest that fewer variables are sturdy correlates of returns.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: