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Zero lower bound, unconventional monetary policy and indicator properties of interest rate spreads

Author

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  • Jari Hännikäinen

    (School of Management, University of Tampere)

Abstract

This paper re-examines the out-of-sample predictive power of interest rate spreads when the short-term nominal rates have been stuck at the zero lower bound and the Fed has used unconventional monetary policy. Our results suggest that the predictive power of some interest rate spreads have changed since the beginning of this period. In particular, the term spread has been a useful leading indicator since December 2008, but not before that. Credit spreads generally perform poorly in the zero lower bound and unconventional monetary policy period. However, the mortgage spread has been a robust predictor of economic activity over the 2003–2014 period.

Suggested Citation

  • Jari Hännikäinen, 2014. "Zero lower bound, unconventional monetary policy and indicator properties of interest rate spreads," Working Papers 1495, Tampere University, Faculty of Management and Business, Economics.
    • Handle: RePEc:tam:wpaper:1495
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    File URL: http://urn.fi/URN:ISBN:978-951-44-9525-0
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    Cited by:

    1. Helen Louri & Petros M. Migiakis, 2019. "Bank lending margins in the euro area: Funding conditions, fragmentation and ECB's policies," Review of Financial Economics, John Wiley & Sons, vol. 37(4), pages 482-505, October.
    2. Petri Kuosmanen & Juuso Vataja, 2025. "Predictive Power of Key Financial Variables During the Unconventional Monetary Policy Era," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(3), pages 856-866, April.
    3. 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.
    4. Kuosmanen, Petri & Vataja, Juuso, 2019. "Time-varying predictive content of financial variables in forecasting GDP growth in the G-7 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 211-222.
    5. Zekeriya Yildirim & Mehmet Ivrendi, 2021. "Spillovers of US unconventional monetary policy: quantitative easing, spreads, and international financial markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-38, December.
    6. Stephanos Papadamou & Νikolaos A. Kyriazis & Panayiotis G. Tzeremes, 2020. "US non-linear causal effects on global equity indices in Normal times versus unconventional eras," International Economics and Economic Policy, Springer, vol. 17(2), pages 381-407, May.
    7. Jari Hännikäinen, 2014. "The mortgage spread as a predictor of real-time economic activity," Working Papers 1496, Tampere University, Faculty of Management and Business, Economics.
    8. 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.
    9. 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.

    More about this item

    Keywords

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    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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