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The evolution of inflation expectations in euro area markets

Author

Listed:
  • Ricardo Gimeno

    (Banco de España)

  • Eva Ortega

    (Banco de España)

Abstract

This paper explores the behaviour of inflation expectations across countries that share their monetary policy, in particular those of the European Monetary Union. We investigate the possible common features at the various horizons, as well as differentials across euro area countries. A multi-country dynamic factor model based on Diebold et al. (2008), where we also add a liquidity risk component, is proposed and estimated using daily data from inflation swaps for Spain, Italy, France, Germany and the euro area as a whole, and for a wide range of horizons. It allows us to calculate the proportion of common vs country-specific components in the term structure of inflation expectations. We find sizable differences in inflation expectations across the main euro area countries only at short maturities, while in general a common component predominates throughout the years, especially at long horizons. The common long-run level of infl ation expectations is estimated to have fallen since late 2014, while an increased persistence of lower expected inflation and for longer horizons is estimated from 2012. There has been no reversal in either of these characteristics following the announcement and implementation of the ECB’s unconventional monetary policy measures.

Suggested Citation

  • Ricardo Gimeno & Eva Ortega, 2016. "The evolution of inflation expectations in euro area markets," Working Papers 1627, Banco de España.
    • Handle: RePEc:bde:wpaper:1627
    as

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    File URL: http://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosTrabajo/16/Fich/dt1627e.pdf
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    References listed on IDEAS

    as
    1. Scott Joslin & Kenneth J. Singleton & Haoxiang Zhu, 2011. "A New Perspective on Gaussian Dynamic Term Structure Models," The Review of Financial Studies, Society for Financial Studies, vol. 24(3), pages 926-970.
    2. Gimeno, Ricardo & Nave, Juan M., 2009. "A genetic algorithm estimation of the term structure of interest rates," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2236-2250, April.
    3. Diebold, Francis X. & Rudebusch, Glenn D. & Borag[caron]an Aruoba, S., 2006. "The macroeconomy and the yield curve: a dynamic latent factor approach," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 309-338.
    4. Fama, Eugene F & Bliss, Robert R, 1987. "The Information in Long-Maturity Forward Rates," American Economic Review, American Economic Association, vol. 77(4), pages 680-692, September.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Morana, Claudio, 2017. "Macroeconomic and financial effects of oil price shocks: Evidence for the euro area," Economic Modelling, Elsevier, vol. 64(C), pages 82-96.
    2. M. Deroose & A. Stevens, 2017. "Low inflation in the euro area : Causes and consequences," Economic Review, National Bank of Belgium, issue i, pages 111-125, June.
    3. Burriel, Pablo & Galesi, Alessandro, 2018. "Uncovering the heterogeneous effects of ECB unconventional monetary policies across euro area countries," European Economic Review, Elsevier, vol. 101(C), pages 210-229.
    4. Ciccarelli, Matteo & Osbat, Chiara, 2017. "Low inflation in the euro area: Causes and consequences," Occasional Paper Series 181, European Central Bank.
    5. Zanxin Wang & Rui Wang & Yaqing Liu, 2024. "The macroeconomic effect of petroleum product price regulation in alleviating the crude oil price volatility," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-22, April.

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    More about this item

    Keywords

    inflation expectations; monetary union; inflation-linked swaps; multicountry dynamic factor model; liquidity risk premium.;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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