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"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."
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Capital assets pricing modelEdition | Availability |
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1
Sampling properties of composite performance measures and their implications
1979, College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
in English
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Sampling properties of composite performance measures and their implications
1979, College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
in English
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Includes bibliographical references (p. 36-38).
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October 8, 2017 | Edited by MARC Bot | merge duplicate works of 'Sampling properties of composite performance measures and their implications' |
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