IDEAS home Printed from https://ideas.repec.org/p/bdm/wpaper/2025-13.html
   My bibliography  Save this paper

Inflation volatility across advanced and emerging economies during the COVID-19 pandemic

Author

Listed:
  • Lenin Arango-Castillo
  • María José Orraca
  • Regina Briseño

Abstract

Using a sample of advanced and emerging economies, this paper studies the volatility of three inflation measures from January 2001 to March 2023, employing variants of the GARCH model that account for the sign, magnitude, and persistence of shocks. The results show that the inflation surge during the COVID-19 pandemic coincided with increased volatility in several countries. However, this is not the norm in the studied period. Descriptive evidence indicates that a strong positive correlation between inflation and its volatility within countries was observed at the beginning of the Global Financial Crisis and during the pandemic, two periods characterized by global inflationary pressures and high commodity prices, whereas in other periods, this correlation is nonexistent or weak.

Suggested Citation

  • Lenin Arango-Castillo & María José Orraca & Regina Briseño, 2025. "Inflation volatility across advanced and emerging economies during the COVID-19 pandemic," Working Papers 2025-13, Banco de México.
  • Handle: RePEc:bdm:wpaper:2025-13
    as

    Download full text from publisher

    File URL: https://www.banxico.org.mx/publications-and-press/banco-de-mexico-working-papers/%7BA878E916-1E6B-D82B-D52D-784A84C1FBBA%7D.pdf
    Download Restriction: no
    ---><---

    More about this item

    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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    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:bdm:wpaper:2025-13. 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: Subgerencia de desarrollo de sistemas (email available below). General contact details of provider: https://edirc.repec.org/data/bangvmx.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.