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Are sectoral stock prices useful for predicting euro area GDP?

Author

Listed:
  • Andersson, Magnus

    (European Central Bank)

  • D'Agostino, Antonello

    (Central Bank and Financial Services Authority of Ireland)

Abstract

This paper evaluates how well sectoral stock prices forecast future economic activity compared to traditional predictors such as the term spread, dividend yield, exchange rates and money growth. The study is applied to euro area financial asset prices and real economic growth, covering the period 1973 to 2006. The paper finds that the term spread is the best predictor of future growth in the period leading up to the introduction of Monetary Union. After 1999, however, sectoral stock prices in general provide more accurate forecasts than traditional asset price measures across all forecast horizons.

Suggested Citation

  • Andersson, Magnus & D'Agostino, Antonello, 2008. "Are sectoral stock prices useful for predicting euro area GDP?," Research Technical Papers 2/RT/08, Central Bank of Ireland.
  • Handle: RePEc:cbi:wpaper:2/rt/08
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    References listed on IDEAS

    as
    1. Sims, Christopher A, 1980. "Comparison of Interwar and Postwar Business Cycles: Monetarism Reconsidered," American Economic Review, American Economic Association, vol. 70(2), pages 250-257, May.
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    3. Moneta, Fabio, 2003. "Does the yield spread predict recessions in the euro area?," Working Paper Series 294, European Central Bank.
    4. Todd Clark & Michael McCracken, 2005. "Evaluating Direct Multistep Forecasts," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 369-404.
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    6. Luigi Guiso & Monica Paiella & Ignazio Visco, 2005. "Do capital gains affect consumption? Estimates of wealth effects from Italian households� behavior," Temi di discussione (Economic working papers) 555, Bank of Italy, Economic Research and International Relations Area.
    7. Paiella, Monica, 2007. "Does wealth affect consumption? Evidence for Italy," Journal of Macroeconomics, Elsevier, pages 189-205.
    8. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    9. McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
    10. Frank Browne & David Doran, 2005. "Do equity index industry groups improve forecasts of inflation and production? A US analysis," Applied Economics, Taylor & Francis Journals, vol. 37(15), pages 1801-1812.
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    12. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, pages 788-829.
    13. Lieven Baele & Annalisa Ferrando & Peter Hördahl & Elizaveta Krylova & Cyril Monnet, 2004. "Measuring financial integration in the euro area," Occasional Paper Series 14, European Central Bank.
    14. Smets, Frank & Tsatsaronis, Kostas, 1997. "Why Does the Yield Curve Predict Economic Activity? Dissecting the Evidence for Germany and the United States," CEPR Discussion Papers 1758, C.E.P.R. Discussion Papers.
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    Cited by:

    1. Marie Bessec, 2013. "Short‐Term Forecasts of French GDP: A Dynamic Factor Model with Targeted Predictors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 500-511, September.
    2. repec:dau:papers:123456789/10079 is not listed on IDEAS
    3. Smimou, K. & Khallouli, W., 2015. "Does the Euro affect the dynamic relation between stock market liquidity and the business cycle?," Emerging Markets Review, Elsevier, vol. 25(C), pages 125-153.

    More about this item

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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