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Should we expect significant out-of-sample results when predicting stock returns? Author info | Abstract | Publisher info | Download info | Related research | Statistics Erik Hjalmarsson
Using Monte Carlo simulations, I show that typical out-of-sample forecast exercises for stock returns are unlikely to produce any evidence of predictability, even when there is in fact predictability and the correct model is estimated.
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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series International Finance Discussion Papers with number
855.
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Date of creation: 2006Date of revision:
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Keywords: Stock price forecasting ; This paper has been announced in the following NEP Reports :
References listed on IDEAS 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.: Amit Goval & Ivo Welch, 2004.
"A Comprehensive Look at the Empirical Performance of Equity Premium Prediction ,"
NBER Working Papers
10483, National Bureau of Economic Research, Inc.
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Other versions: John Y. Campbell & Samuel B. Thompson, 2005.
"Predicting the Equity Premium Out of Sample: Can Anything Beat the Historical Average? ,"
Harvard Institute of Economic Research Working Papers
2084, Harvard - Institute of Economic Research.
[Downloadable!]
Other versions: John Y. Campbell & Motohiro Yogo, 2003.
"Efficient Tests of Stock Return Predictability ,"
NBER Working Papers
10026, National Bureau of Economic Research, Inc.
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Other versions:
John Y. Campbell & Motohiro Yogo, 2002.
"Efficient Tests of Stock Return Predictability ,"
Harvard Institute of Economic Research Working Papers
1972, Harvard - Institute of Economic Research.
[Downloadable!] Campbell, John Y. & Yogo, Motohiro, 2006.
"Efficient tests of stock return predictability ,"
Journal of Financial Economics ,
Elsevier, vol. 81(1), pages 27-60, July.
[Downloadable!] (restricted) Diebold, Francis X & Mariano, Roberto S, 1995.
"Comparing Predictive Accuracy ,"
Journal of Business & Economic Statistics ,
American Statistical Association, vol. 13(3), pages 253-63, July.
Other versions:
Francis X. Diebold & Robert S. Mariano, 1994.
"Comparing Predictive Accuracy ,"
NBER Technical Working Papers
0169, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted) Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy ,"
Journal of Business & Economic Statistics ,
American Statistical Association, vol. 20(1), pages 134-44, January.
Andrews, Donald W K & Monahan, J Christopher, 1992.
"An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator ,"
Econometrica ,
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Other versions: Amit Goyal & Ivo Welch, 2002.
"Predicting the Equity Premium With Dividend Ratios ,"
NBER Working Papers
8788, National Bureau of Economic Research, Inc.
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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.)
Laurence Fung & Ip-wing Yu, 2008.
"Predicting Stock Market Returns by Combining Forecasts ,"
Working Papers
0801, Hong Kong Monetary Authority.
[Downloadable!]
Pástor, Luboš & Stambaugh, Robert F, 2007.
"Predictive Systems: Living with Imperfect Predictors ,"
CEPR Discussion Papers
6076, C.E.P.R. Discussion Papers.
[Downloadable!] (restricted)
Other versions:
Lubos Pastor & Robert F. Stambaugh, 2007.
"Predictive Systems: Living with Imperfect Predictors ,"
NBER Working Papers
12814, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted) Lubos Pastor & Robert F. Stambaugh, 2008.
"Predictive Systems: Living with Imperfect Predictors ,"
NBER Working Papers
13804, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted) Lubos Pástor & Robert F. Stambaugh, 2009.
"Predictive Systems: Living with Imperfect Predictors ,"
Journal of Finance ,
American Finance Association, vol. 64(4), pages 1583-1628, 08.
[Downloadable!] (restricted)
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