IDEAS home Printed from https://ideas.repec.org/p/bog/wpaper/350.html
   My bibliography  Save this paper

A new proposal for forecasting inflation in the eurozone. A global model

Author

Listed:
  • Georgios Angelopoulos

    (Department of Accounting and Finance, University of West Attica and Bank of Greece)

  • Zacharias Bragoudakis

    (Bank of Greece)

  • Dimitrios Dimitriou

    (Department of Accounting and Finance, University of West Attica)

  • Alexandros Tsioutsios

    (Department of Economics and UoA Center for Financial Studies, School of Economics and Political Sciences, National and Kapodistrian University of Athens)

Abstract

This paper evaluates the forecasting performance of the relatively new machine learning Global Unrefined (GlobalUN, hereafter) model with respect to inflation in the Eurozone. In this global pooled neural network framework, we use a quarterly panel dataset covering 20 euro-area countries (2001Q1–2025Q1) together with the EA-20 aggregate, which includes key variables such as HICP, energy prices, food, and others. Thus, the network remains simple yet flexible enough to absorb heterogeneity across countries. Our contribution of our work is crucial since monetary policy in the Eurozone hinges on accurate inflation forecasts (i.e., as ECB decisions target expected rather than current inflation). Our findings are crystal clear. The GlobalUn model outperforms all other benchmark models and the advanced machine learning XGBoost model in almost all Eurozone countries and horizons (i.e., the NAà VE model seems to outperform in a few cases). These results are useful for policymakers, central banks, and fiscal institutions, as they should take the GlobalUN model into account as part of their arsenal.

Suggested Citation

  • Georgios Angelopoulos & Zacharias Bragoudakis & Dimitrios Dimitriou & Alexandros Tsioutsios, 2025. "A new proposal for forecasting inflation in the eurozone. A global model," Working Papers 350, Bank of Greece.
  • Handle: RePEc:bog:wpaper:350
    DOI: 10.52903/wp2025350
    as

    Download full text from publisher

    File URL: https://doi.org/10.52903/wp2025350
    File Function: Full Text
    Download Restriction: no

    File URL: https://libkey.io/10.52903/wp2025350?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bog:wpaper:350. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anastasios Rizos (email available below). General contact details of provider: https://edirc.repec.org/data/boggvgr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.