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Predicting Stock Price Movements: Regressions versus Economists

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  • Paul Söderlind

Abstract

The out-of-sample forecasting performance of traditional stock return models (dividend yield, t-bill rate, etc.) is compared with the forecasting performance of the Livingston survey. The results suggest that the survey forecasts are much like a "too large" forecasting model: poor performance and too sensitive to irrelevant information.

Suggested Citation

  • Paul Söderlind, 2007. "Predicting Stock Price Movements: Regressions versus Economists," University of St. Gallen Department of Economics working paper series 2007 2007-23, Department of Economics, University of St. Gallen.
    • Handle: RePEc:usg:dp2007:2007-23
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    References listed on IDEAS

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    1. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
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    5. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    6. Pearce, Douglas K, 1984. "An Empirical Analysis of Expected Stock Price Movements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 16(3), pages 317-327, August.
    7. Dokko, Yoon & Edelstein, Robert H, 1989. "How Well Do Economists Forecast Stock Market Prices? A Study of the Livingston Surveys," American Economic Review, American Economic Association, vol. 79(4), pages 865-871, September.
    8. Jack W. Wilson, 2002. "An Analysis of the S&P 500 Index and Cowles's Extensions: Price Indexes and Stock Returns, 18701999," The Journal of Business, University of Chicago Press, vol. 75(3), pages 505-534, July.
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    Cited by:

    1. Silvija Vlah Jerić & Mihovil Anđelinović, 2019. "Evaluating Croatian stock index forecasts," Empirical Economics, Springer, vol. 56(4), pages 1325-1339, April.
    2. A. Belenky & L. Egorova, 2016. "Two approaches to modeling the interaction of small and medium price-taking traders with a stock exchange by mathematical programming techniques," Papers 1610.05703, arXiv.org.
    3. Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2013. "What do professional forecasters' stock market expectations tell us about herding, information extraction and beauty contests?," Journal of Empirical Finance, Elsevier, vol. 20(C), pages 109-129.
    4. Pierdzioch, Christian & Rülke, Jan-Christoph, 2012. "Forecasting stock prices: Do forecasters herd?," Economics Letters, Elsevier, vol. 116(3), pages 326-329.
    5. Björn Fastrich & Peter Winker, 2014. "Combining Forecasts with Missing Data: Making Use of Portfolio Theory," Computational Economics, Springer;Society for Computational Economics, vol. 44(2), pages 127-152, August.

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    More about this item

    Keywords

    Livingston survey; out-of-sample forecasts;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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