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Navigating with a compass: Charting the course of underlying inflation

Author

Listed:
  • António Rua
  • Nuno Lourenço
  • João Quelhas

Abstract

We propose a novel tool to gauge price pressures resorting to circular statistics, the so-called inflation compass. We show that it provides a reliable indication on inflationary pressures in the euro area by focusing on key episodes of high and low inflation since the monetary union inception. Unlike most alternative measures of underlying inflation, the inflation compass does not exclude any subitems of inflation, ensuring that all disaggregated information is taken on board. Moreover, it is not subject to revisions, providing policymakers with real-time signals about the course of underlying inflation, while being easily understood and visually appealing. We also provide evidence of the usefulness of the inflation compass to forecast overall inflation up to 36 months ahead, even during periods of increased turbulence, such as those marked by the COVID-19 pandemic or the recent inflation surge. Our findings indicate that the inflation compass surpasses other widely used measures of underlying inflation for the euro area, leading to statistically significant improvements in forecast accuracy. Lastly, we show that our approach can handle large-dimensional data by leveraging on finer product-level and country-level data. In such environment, the inflation compass still exhibits higher accuracy, underscoring its robustness and reliability.

Suggested Citation

  • António Rua & Nuno Lourenço & João Quelhas, 2023. "Navigating with a compass: Charting the course of underlying inflation," Working Papers w202317, Banco de Portugal, Economics and Research Department.
  • Handle: RePEc:ptu:wpaper:w202317
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    File URL: https://www.bportugal.pt/sites/default/files/anexos/papers/wp202317.pdf
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    References listed on IDEAS

    as
    1. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    2. Chahad, Mohammed & Hofmann-Drahonsky, Anna-Camilla & Page, Adrian & Tirpák, Marcel & Meunier, Baptiste, 2022. "What explains recent errors in the inflation projections of Eurosystem and ECB staff?," Economic Bulletin Boxes, European Central Bank, vol. 3.
    3. Cogley, Timothy, 2002. "A Simple Adaptive Measure of Core Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 94-113, February.
    4. Nuno Lourenço & António Rua, 2023. "Correction to: Business cycle clocks: Time to get circular," Empirical Economics, Springer, vol. 65(5), pages 2499-2499, November.
    5. Nuno Lourenço & António Rua, 2023. "Business cycle clocks: Time to get circular," Empirical Economics, Springer, vol. 65(4), pages 1513-1541, October.
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    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • 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

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