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Macro expectations, aggregate uncertainty, and expected term premia

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  • Dick, Christian D.
  • Schmeling, Maik
  • Schrimpf, Andreas

Abstract

Based on individual expectations from the Survey of Professional Forecasters, we construct a real-time proxy for expected term premium changes on long-term bonds. We empirically investigate the relation of these bond term premium expectations with expectations about key macroeconomic variables as well as aggregate macroeconomic uncertainty at the level of individual forecasters. We find that expected term premia are (i) time-varying and reasonably persistent, (ii) strongly related to expectations about future output growth, and (iii) positively affected by uncertainty about future output growth and inflation rates. Expectations about real macroeconomic variables seem to matter more than expectations about nominal factors. Additional findings on term structure factors suggest that the level and slope factor capture information related to uncertainty about real and nominal macroeconomic prospects, and that curvature is related to subjective term premium expectations themselves. Finally, an aggregate measure of forecasters' term premium expectations has predictive power for bond excess returns over horizons of up to one year.

Suggested Citation

  • Dick, Christian D. & Schmeling, Maik & Schrimpf, Andreas, 2010. "Macro expectations, aggregate uncertainty, and expected term premia," ZEW Discussion Papers 10-064, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:10064
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    3. Dániel Horváth & Péter Kálmán & Zalán Kocsis & Imre Ligeti, 2014. "What factors influence the yield curve?," MNB Bulletin (discontinued), Magyar Nemzeti Bank (Central Bank of Hungary), vol. 9(1), pages 28-39, March.
    4. Vodwal, Sandeep & Bansal, Vishakha & Sinha, Pankaj, 2019. "Impact of Financial Crisis on Determinants of Capital Structure of Indian Non-financial Firms: Estimating Dynamic Panel Data Model using Two-Step System GMM," MPRA Paper 95482, University Library of Munich, Germany.
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    7. Hartmann, Matthias & Conrad, Christian, 2014. "Cross sectional evidence on the relation between monetary policy, macroeconomic conditions and low-frequency inflation uncertainty," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100477, Verein für Socialpolitik / German Economic Association.
    8. De Rezende, Rafael B., 2015. "Risks in macroeconomic fundamentals and excess bond returns predictability," Working Paper Series 295, Sveriges Riksbank (Central Bank of Sweden).
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    10. van Holle, Frederiek, 2017. "Essays in empirical finance and monetary policy," Other publications TiSEM 30d11a4b-7bc9-4c81-ad24-5, Tilburg University, School of Economics and Management.
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    19. Claeys, Peter & Cimadomo, Jacopo & Poplawski Ribeiro, Marcos, 2014. "How do financial institutions forecast sovereign spreads?," Working Paper Series 1750, European Central Bank.
    20. Helena Chuliá & Jorge M. Uribe, 2019. "“Expected, Unexpected, Good and Bad Uncertainty"," IREA Working Papers 201919, University of Barcelona, Research Institute of Applied Economics, revised Nov 2019.
    21. Guerello, Chiara, 2016. "The effect of investors’ confidence on monetary policy transmission mechanism," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 248-266.

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    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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