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Forecasting Stock Price Changes: Is it Possible?

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Author Info
Pedro N. Rodríguez,
Simón Sosvilla-Rivero

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Abstract

We examine the relation between monthly stock returns and lagged publicly available information. Our primary objective is to determine whether the variables proposed in the literature to predict the equity premium contain incremental information to an investor. We find that certain variables do provide incremental information and may have some practical value. Although this not necessarily imply that return-forecasting models may be used to predict future stock returns, some model specifications may be used to predict future stock movements.

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Paper provided by FEDEA in its series Working Papers with number 2006-22.

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Date of creation: Oct 2006
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Handle: RePEc:fda:fdaddt:2006-22

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  5. Pesaran, M. Hashem & Timmermann, Allan, 2002. "Market timing and return prediction under model instability," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 495-510, December. [Downloadable!] (restricted)
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  14. Peter F. Christoffersen & Francis X. Diebold, 2003. "Financial Asset Returns, Direction-of-Change Forecasting, and Volatility Dynamics," NBER Working Papers 10009, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  15. Avramov, Doron, 2002. "Stock return predictability and model uncertainty," Journal of Financial Economics, Elsevier, vol. 64(3), pages 423-458, June. [Downloadable!] (restricted)
  16. Bossaerts, Peter & Hillion, Pierre, 1999. "Implementing Statistical Criteria to Select Return Forecasting Models: What Do We Learn?," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 12(2), pages 405-28.
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