Empirical asset pricing and statistical power in the presence of weak risk factors

Empirical asset pricing and statistical power ...
Craig Burnside, Craig Burnside
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Last edited by WorkBot
January 31, 2010 | History

Empirical asset pricing and statistical power in the presence of weak risk factors

"The risk factors in many consumption-based asset pricing models display statistically weak correlation with the returns being priced. Some GMM-based procedures used to test these models have very low power to reject proposed stochastic discount factors (SDFs) when they are misspecified and the covariance matrix of the asset returns with the risk factors has less than full column rank. Consequently, these estimators provide potentially misleading positive assessments of the SDFs. Working with SDFs specified in terms of demeaned risk factors improves the performance of GMM but the power to reject misspecified SDFs may remain low. Two summary tests for failure of the rank condition have reasonable power, and lead to no Type I errors in Monte Carlo experiments"--National Bureau of Economic Research web site.

Publish Date
Language
English
Pages
67

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Book Details


Edition Notes

"August 2007"

Includes bibliographical references (p. 39-40).

Also available in PDF from the NBER world wide web site (www.nber.org).

Published in
Cambridge, Mass
Series
NBER working paper series -- working paper 13357., Working paper series (National Bureau of Economic Research) -- working paper no. 13357.

The Physical Object

Pagination
67 p. :
Number of pages
67

ID Numbers

Open Library
OL17635290M
OCLC/WorldCat
170935200

Source records

Oregon Libraries MARC record

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January 31, 2010 Edited by WorkBot add more information to works
December 9, 2009 Created by WorkBot add works page