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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 R2

F. Douglas Foster1; Tom Smith2; Robert E. Whaley3,4

1 University of Iowa · 2 UNSW Sydney · 3 Duke University · 4 Department of Finance

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 when k of m regressors are used to predict security returns. We provide a simple procedure that adjusts critical values to account for selecting variables by searching among potential regressors.

DOI
10.1111/j.1540-6261.1997.tb04814.x
Volume
52
Issue
2
Pages
591-607
Language
en
Sources
openalex crossref

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