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Title:Sampling properties of composite performance measures and their implications / BEBR No. 541
Author(s):Lee, Cheng F.; Chen, Son-Nan
Contributor(s):University of Illinois at Urbana-Champaign. College of Commerce and Business Administration
Subject(s):Capital assets pricing model.
Issue Date:Jan 18 197
Publisher:[Urbana, Ill.] : College of Commerce and Business Administration, University of Illinois at Urbana-Champaign,
Series/Report:Faculty working papers ; no. 541
Type:Text
Language:English
Description:Includes bibliographical references (p. 36-38).
"The statistical relationship between estimated composite performance measures and their risk proxies are derived in accordance with statistical distribution theory. It is found that the estimated composite performance measures are generally highly correlated with their risk proxies. In general, sample size, investment horizon and the market condition are three important factors in determining the degree of relationship above-mentioned. It is shown that a larger number of historical observation and an appropriate investment horizon can generally be used to reduce the sample correlation between the estimated performance measures and their risk proxy. Sampling distributions for both Sharpe and Treynor measures are also derived."
URI:http://hdl.handle.net/2142/27165
Rights Information:In copyright. Digitized with permission of the University of Illinois Board of Trustees. Contact digicc@library.illinois.edu for information.
Copyright Jan 18 1979 Board of Trustees University of Illinois.
Date Available in IDEALS:2011-09-15
Has Version(s):http://hdl.handle.net/10111/UIUCOCA:samplingproperti541leec
http://www.archive.org/details/samplingproperti541leec
Identifier in Online Catalog:339803
OCLC Identifier:(OCoLC)ocm05341051


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