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The Global Component of Inflation Volatility

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  • Carriero, Andrea
  • Corsello, Francesco
  • Marcellino, Massimiliano

Abstract

Global developments play an important role for domestic inflation rates. Earlier literature has found that a substantial amount of the variation in a large set of national inflation rates can be explained by a single global factor. However, inflation volatility has been typically neglected, while it is clearly relevant both from a policy point of view and for structural analysis and forecasting. We study the evolution of inflation rates in several countries, using a novel model that allows for commonality in both levels and volatilities, in addition to country-specific components. We find that inflation volatility is indeed important, and a substantial fraction of it can be attributed to a global factor that is also driving inflation levels and their persistence. While various phenomena may contribute to global inflation dynamics, it turns out that since the early '90s level and volatility of the estimated global factor are correlated with the Chinese PPI and Oil inflation. The extent of commonality among core inflation rates and volatilities is substantially smaller than for overall inflation, which leaves scope for national monetary policies. Finally, we show that the point and density forecasting performance of the model is good relative to standard benchmarks, which provides additional evidence on its reliability.

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  • Carriero, Andrea & Corsello, Francesco & Marcellino, Massimiliano, 2019. "The Global Component of Inflation Volatility," CEPR Discussion Papers 13470, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:13470
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    4. Stefano Neri & Stefano Siviero, 2018. "The Non-Standard Monetary Policy Measures of the ECB: Motivations, Effectiveness and Risks," Credit and Capital Markets, Credit and Capital Markets, vol. 51(4), pages 513-560.
    5. Luis J. Álvarez & Ana Gómez-Loscos & María Dolores Gadea, 2019. "Inflation interdependence in advanced economies," Working Papers 1920, Banco de España;Working Papers Homepage.
    6. Fabio Busetti & Michele Caivano & Davide Delle Monache, 2019. "Domestic and global determinants of inflation: evidence from expectile regression," Temi di discussione (Economic working papers) 1225, Bank of Italy, Economic Research and International Relations Area.
    7. Feldkircher, Martin & Siklos, Pierre L., 2019. "Global inflation dynamics and inflation expectations," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 217-241.

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    More about this item

    Keywords

    Forecasting; Global factors; inflation; large datasets; Multivariate Autoregressive Index models; Reduced Rank Regressions; volatility;
    All these keywords.

    JEL classification:

    • 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
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • F62 - International Economics - - Economic Impacts of Globalization - - - Macroeconomic Impacts

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