IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0514.html
   My bibliography  Save this article

Assessing the predictability of market interest rate changes on Central Bank of Russia press release days

Author

Listed:
  • Bannikova, Viktoriia

    (Lomonosov Moscow State University, RANEPA, Moscow, Russian Federation)

  • Kolesnik, Sofya

    (Lomonosov Moscow State University, Gaidar Institute for Economic Policy, Moscow, Russian Federation;)

Abstract

This study proposes a new approach to identifying monetary shocks for the Russian economy. Unlike existing research that applies high-frequency data, the presented method is based on a more precise definition of monetary policy shocks. The new identification explicitly considers the unpredictability of monetary shocks based on past information, specifically published macroeconomic forecasts. An instrumental approach is used because the regulator's forecasts typically incorporate the current key rate decision and are highly correlated with analysts’ forecasts known at the time of the Central Bank of Russia’s press release. Econometric estimates of impulse responses of macroeconomic variables show that traditional key rate regulation, along with the publication of medium-term economic forecasts by the Central Bank, has a statistically significant restraining effect on inflation and economic activity.

Suggested Citation

  • Bannikova, Viktoriia & Kolesnik, Sofya, 2025. "Assessing the predictability of market interest rate changes on Central Bank of Russia press release days," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 77, pages 25-45.
  • Handle: RePEc:ris:apltrx:0514
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    monetary shock; monetary policy surprises; high-frequency identification; predictability; Central Bank forecasts;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:ris:apltrx:0514. 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: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    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.