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Predictive ability of financial variables in changing economic circumstances

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  • Kuosmanen, Petri
  • Rahko, Jaana
  • Vataja, Juuso

Abstract

We analyze three key financial variables, the term spread, real stock returns and the real short-term interest rate, and study which economic factors underlie changes in their predictive power for GDP growth in a large set of industrialized countries. Our results show that the enhanced predictive content of financial variables is connected to increased GDP and stock market volatility as well as turning points in business cycles. Periods with a zero lower bound of interest rates appear to reduce the predictive ability of stock markets. Moreover, we find qualified evidence that inflation persistence increases the predictive content of financial variables.

Suggested Citation

  • Kuosmanen, Petri & Rahko, Jaana & Vataja, Juuso, 2019. "Predictive ability of financial variables in changing economic circumstances," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 37-47.
  • Handle: RePEc:eee:ecofin:v:47:y:2019:i:c:p:37-47
    DOI: 10.1016/j.najef.2018.11.012
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    1. N. Bloom, 2016. "Fluctuations in uncertainty," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
    2. Menzie Chinn & Kavan Kucko, 2015. "The Predictive Power of the Yield Curve Across Countries and Time," International Finance, Wiley Blackwell, vol. 18(2), pages 129-156, June.
    3. Hännikäinen, Jari, 2015. "Zero lower bound, unconventional monetary policy and indicator properties of interest rate spreads," Review of Financial Economics, Elsevier, vol. 26(C), pages 47-54.
    4. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
    5. Benati, Luca & Goodhart, Charles, 2008. "Investigating time-variation in the marginal predictive power of the yield spread," Journal of Economic Dynamics and Control, Elsevier, vol. 32(4), pages 1236-1272, April.
    6. Petri Kuosmanen & Juuso Vataja, 2017. "The return of financial variables in forecasting GDP growth in the G-7," Economic Change and Restructuring, Springer, vol. 50(3), pages 259-277, August.
    7. Andrews, Donald W K & Chen, Hong-Yuan, 1994. "Approximately Median-Unbiased Estimation of Autoregressive Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 187-204, April.
    8. Ólan T. Henry & Nilss Olekalns & Jonathan Thong, 2004. "Do stock market returns predict changes to output? Evidence from a nonlinear panel data model," Empirical Economics, Springer, vol. 29(3), pages 527-540, September.
    9. Hännikäinen, Jari, 2017. "When does the yield curve contain predictive power? Evidence from a data-rich environment," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1044-1064.
    10. Ang, Andrew & Piazzesi, Monika & Wei, Min, 2006. "What does the yield curve tell us about GDP growth?," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 359-403.
    11. Mishkin, Frederic S., 2017. "Rethinking monetary policy after the crisis," Journal of International Money and Finance, Elsevier, vol. 73(PB), pages 252-274.
    12. Michael D. Bordo & Joseph G. Haubrich, 2004. "The Yield Curve, Recessions and the Credibility of the Monetary Regime: Long Run Evidence 1875-1997," NBER Working Papers 10431, National Bureau of Economic Research, Inc.
    13. Michael Dotsey, 1998. "The predictive content of the interest rate term spread for future economic growth," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 31-51.
    14. Olivier Blanchard & John Simon, 2001. "The Long and Large Decline in U.S. Output Volatility," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(1), pages 135-174.
    15. Luca Benati, 2008. "Investigating Inflation Persistence Across Monetary Regimes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(3), pages 1005-1060.
    16. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1120-1154, December.
    17. Ann M. Dombrosky & Joseph G. Haubrich, 1996. "Predicting real growth using the yield curve," Economic Review, Federal Reserve Bank of Cleveland, issue Q I, pages 26-35.
    18. Arturo Estrella & Anthony P. Rodrigues & Sebastian Schich, 2003. "How Stable is the Predictive Power of the Yield Curve? Evidence from Germany and the United States," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 629-644, August.
    19. Jon Faust & Simon Gilchrist & Jonathan H. Wright & Egon Zakrajšsek, 2013. "Credit Spreads as Predictors of Real-Time Economic Activity: A Bayesian Model-Averaging Approach," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1501-1519, December.
    20. Binswanger, Mathias, 2000. "Stock market booms and real economic activity: Is this time different?," International Review of Economics & Finance, Elsevier, vol. 9(4), pages 387-415, October.
    21. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    22. Arturo Estrella & Frederic S. Mishkin, 1996. "The yield curve as a predictor of U.S. recessions," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 2(Jun).
    23. Raffaella Giacomini & Barbara Rossi, 2006. "How Stable is the Forecasting Performance of the Yield Curve for Output Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(s1), pages 783-795, December.
    24. Bordo, Michael D. & Haubrich, Joseph G., 2008. "Forecasting with the yield curve; level, slope, and output 1875-1997," Economics Letters, Elsevier, vol. 99(1), pages 48-50, April.
    25. Arturo Estrella, 2005. "Why Does the Yield Curve Predict Output and Inflation?," Economic Journal, Royal Economic Society, vol. 115(505), pages 722-744, July.
    26. Kuosmanen, Petri & Nabulsi, Nasib & Vataja, Juuso, 2015. "Financial variables and economic activity in the Nordic countries," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 368-379.
    27. David C. Wheelock & Mark E. Wohar, 2009. "Can the term spread predict output growth and recessions? a survey of the literature," Review, Federal Reserve Bank of St. Louis, vol. 91(Sep), pages 419-440.
    28. Binswanger, Mathias, 2004. "Stock returns and real activity in the G-7 countries: did the relationship change during the 1980s?," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(2), pages 237-252, May.
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    More about this item

    Keywords

    Term spread; Short-term interest rates; Stock market; Forecasting; Macroeconomy;
    All these keywords.

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

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