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Least Squares Predictions and Mean-Variance Analysis

  • Sentana, Enrique

We compare the Sharpe ratios of investment funds which combine one riskless and one risky asset following: i) timing strategies which forecast excess returns using simple regressions; ii) a strategy which uses multiple regression instead; and iii) a passive allocation which combines the funds in i) with constant weightings. We show that iii) dominates i) and ii), as it implicitly uses the linear forecasting rule that maximises the Sharpe ratio of actively traded portfolios, but the relative ranking of i) and ii) is generally unclear. We also discuss under what circumstances the performance of ii) and iii) coincides.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 2088.

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Date of creation: Feb 1999
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Handle: RePEc:cpr:ceprdp:2088
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  1. Peter J. Knez & Zhiwu Chen, 1998. "Portfolio Performance Measurement: Theory and Applications," Yale School of Management Working Papers ysm48, Yale School of Management.
  2. Admati, Anat R & Pfleiderer, Paul, 1990. "Direct and Indirect Sale of Information," Econometrica, Econometric Society, vol. 58(4), pages 901-28, July.
  3. Sanford J Grossman & Joseph E Stiglitz, 1997. "On the Impossibility of Informationally Efficient Markets," Levine's Working Paper Archive 1908, David K. Levine.
  4. Hansen, Lars Peter & Richard, Scott F, 1987. "The Role of Conditioning Information in Deducing Testable," Econometrica, Econometric Society, vol. 55(3), pages 587-613, May.
  5. Arellano, Manuel, 1989. "On the efficient estimation of simultaneous equations with covariance restrictions," Journal of Econometrics, Elsevier, vol. 42(2), pages 247-265, October.
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