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What can probability forecasts tell us about inflation risks?

Author

Listed:
  • Garcí­a, Juan Angel
  • Manzanares, Andrés

Abstract

A crucial but often ignored element of inflation expectations is the amount of perceived inflation risk. This paper estimates the degree of uncertainty and asymmetry in the probability forecasts of the Survey of Professional Forecasters (SPF) using a new methodology. The main conclusion from our analysis is that, when monitoring inflation expectations, limiting attention to a point prediction is not sufficient. The analysis of inflation expectations should take into account inflation risks. As an example, we show that our measures of inflation risks can better explain why inflation scares happened in the bond market during the Volcker disinflation. JEL Classification: C16, C42, E31, E47

Suggested Citation

  • Garcí­a, Juan Angel & Manzanares, Andrés, 2007. "What can probability forecasts tell us about inflation risks?," Working Paper Series 825, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:2007825
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    Citations

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    Cited by:

    1. Jane M. Ryngaert, 2023. "Balance of Risks and the Anchoring of Consumer Expectations," JRFM, MDPI, vol. 16(2), pages 1-18, January.
    2. Knüppel, Malte & Schultefrankenfeld, Guido, 2019. "Assessing the uncertainty in central banks’ inflation outlooks," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1748-1769.
    3. Manzan, Sebastiano, 2021. "Are professional forecasters Bayesian?," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
    4. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of CentER DP 2011-053)," Other publications TiSEM 38fac5ce-fe8f-4b61-a679-f, Tilburg University, School of Economics and Management.
    5. Malte Knüppel & Guido Schultefrankenfeld, 2012. "How Informative Are Central Bank Assessments of Macroeconomic Risks?," International Journal of Central Banking, International Journal of Central Banking, vol. 8(3), pages 87-139, September.
    6. Nikola Mirkov & Andreas Steinhauer, 2014. "Are subjective distributions in inflation expectations symmetric?," ECON - Working Papers 173, Department of Economics - University of Zurich.
    7. Garcí­a, Juan Angel & Werner, Thomas, 2010. "Inflation risks and inflation risk premia," Working Paper Series 1162, European Central Bank.
    8. Andrade, Philippe & Fourel, Valère & Ghysels, Eric & Idier, Julien, 2014. "The financial content of inflation risks in the euro area," International Journal of Forecasting, Elsevier, vol. 30(3), pages 648-659.
    9. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of EBC DP 2011-014)," Other publications TiSEM 2b92a09f-918e-4614-978d-0, Tilburg University, School of Economics and Management.
    10. Andrade, P. & Ghysels, E. & Idier, J., 2012. "Tails of Inflation Forecasts and Tales of Monetary Policy," Working papers 407, Banque de France.
    11. Paul Söderlind, 2011. "Inflation Risk Premia and Survey Evidence on Macroeconomic Uncertainty," International Journal of Central Banking, International Journal of Central Banking, vol. 7(2), pages 113-133, June.
    12. Victor Lopez-Perez, 2016. "Macroeconomic Forecast Uncertainty In The Euro Area," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 9-41, March.
    13. Koop, Gary & Onorante, Luca, 2011. "Estimating Phillips Curves in Turbulent Times using the ECB’s Survey of Professional Forecasters," SIRE Discussion Papers 2011-19, Scottish Institute for Research in Economics (SIRE).
    14. Montes, Gabriel Caldas & Curi, Alexandre, 2017. "Disagreement in expectations about public debt, monetary policy credibility and inflation risk premium," Journal of Economics and Business, Elsevier, vol. 93(C), pages 46-61.
    15. Petra M. Geraats, 2008. "ECB Credibility and Transparency," European Economy - Economic Papers 2008 - 2015 330, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    16. Ciccarelli, Matteo & Garcí­a, Juan Angel, 2009. "What drives euro area break-even inflation rates?," Working Paper Series 996, European Central Bank.
    17. Ryngaert, Jane M., 2022. "Inflation disasters and consumption," Journal of Monetary Economics, Elsevier, vol. 129(S), pages 67-81.
    18. Gary Koop & Luca Onorante, 2011. "Estimating Phillips Curves in Turbulent Times using the ECBs Survey of Professional Forecasters," Working Papers 1109, University of Strathclyde Business School, Department of Economics.
    19. Nikola Mirkov & Andreas Steinhauer, 2015. "Ben Bernanke vs. Janet Yellen: Exploring the (a)symmetry of individual and aggregate inflation expectations," Working Papers 2015-10, Swiss National Bank.

    More about this item

    Keywords

    inflation expectations; inflation risk; power divergence estimators; skew-normal distribution; Survey of Professional Forecasters (SPF);
    All these keywords.

    JEL classification:

    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

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