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Assessing Assets Pricing Anomalies Author info | Abstract | Publisher info | Download info | Related research | Statistics Michael Brennan (Anderson School of Management)
Yihong Xia (University of Pennsylvania)
The optimal portfolio strategy is developed for an investor who has detected an asset pricing anomaly but is not certain that the anomaly is genuine rather than merely apparent. He analysis takes account of the fact that the parameters of both the underlying asset pricing model and the anomalous returns are estimated rather than known. The value that an investor would place on the ability to invest to exploit the apparent anomaly is also derived an illustrative calculations are presented for the Fama and French SMB and HML portfolios, whose returns are anomalous relative to the CAPM.
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Paper provided by Anderson Graduate School of Management, UCLA in its series University of California at Los Angeles, Anderson Graduate School of Management with number
1098.
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Date of creation: 01 Jan 1999Date of revision:
Handle: RePEc:cdl:anderf:1098Note: oai:cdlib1:anderson/fin-1098Contact details of provider: Postal: 110 Westwood Plaza, Los Angeles, CA. 90095 Web page: http://repositories.cdlib.org/anderson/fin/ More information through EDIRC
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references Cited by : (explanations , 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.)
Yihong Xia, 2000.
"Learning About Predictability: The Effects of Parameter Uncertainty on Dynamic Asset Allocation ,"
University of California at Los Angeles, Anderson Graduate School of Management
1057, Anderson Graduate School of Management, UCLA.
[Downloadable!]
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