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Predictive Systems: Living with Imperfect Predictors

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Author Info
Pástor, Luboš
Stambaugh, Robert F

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Abstract

The standard regression approach to modeling return predictability seems too restrictive in one way but too lax in another. A predictive regression models expected returns as an exact linear function of a given set of predictors but does not exploit the likely economic property that innovations in expected returns are negatively correlated with unexpected returns. We develop an alternative framework---a predictive system---that accommodates imperfect predictors and beliefs about that negative correlation. In this framework, the predictive ability of imperfect predictors is supplemented by information in lagged returns as well as lags of the predictors. Compared to predictive regressions, predictive systems deliver different and substantially more precise estimates of expected returns as well as different assessments of a given predictor's usefulness.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 6076.

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Date of creation: Feb 2007
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Handle: RePEc:cpr:ceprdp:6076

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Related research
Keywords: expected stock return; predictability; predictive regression; predictive system; state space model;

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G1 - Financial Economics - - General Financial Markets

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Full 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.)

  1. Lubos Pastor & Robert F. Stambaugh, 2009. "Are Stocks Really Less Volatile in the Long Run?," NBER Working Papers 14757, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  2. Schrimpf, Andreas, 2008. "International Stock Return Predictability Under Model Uncertainty," ZEW Discussion Papers 08-048, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research. [Downloadable!]
  3. Miguel A. Ferreira & Pedro Santa-Clara, 2008. "Forecasting Stock Market Returns: The Sum of the Parts is More than the Whole," NBER Working Papers 14571, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  4. Schmeling, Maik, 2008. "Investor sentiment and stock returns: Some international evidence," Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät der Universität Hannover dp-407, Universität Hannover, Wirtschaftswissenschaftliche Fakultät. [Downloadable!]
  5. Gianni Amisano & Roberto Savona, 2008. "Imperfect predictability and mutual fund dynamics. How managers use predictors in changing systematic risk," Working Paper Series 881, European Central Bank. [Downloadable!]
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