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Journal of Finance Vol. 52 No. 2 1997

Assessing Goodness-of-Fit of Asset Pricing Models: The Distribution of the Maximal R-Squared.

F. Douglas Foster; Tom Smith; Robert E. Whaley

Abstract

The development of asset pricing models that rely on instrumental variables together with the increased availability of easily accessible economic time-series have renewed interest in predicting security returns. Evaluating the significance of these new research findings, however, is no easy task. Because these asset pricing theory tests are not independent, classical methods of assessing goodness-of-fit are inappropriate. This study investigates the distribution of the maximal R-square when k of m regressors are used to predict security returns. The authors provide a simple procedure that adjusts critical R-square values to account for selecting variables by searching among potential regressors.

Volume
52
Issue
2
Pages
591-607
Sources
bibtex:phds-export.bib

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