IDEAS home Printed from https://ideas.repec.org/a/fau/fauart/v74y2024i1p105-140.html
   My bibliography  Save this article

Regime-Dependent Effects of Uncertainty Shocks. A Markov-Switching Approach for Central Eastern European Countries

Author

Listed:
  • Georgiana Plesa

    (Bucharest University of Economic Studies, Romania)

Abstract

Over the past decades, the Central Eastern European (CEE) economies have experienced events characterized by a high degree of uncertainty that have had adverse and persistent effects at the macroeconomic level. This paper analyzes the asymmetric effects of uncertainty shocks (alternately defined by a financial stress index and implied volatility) in two distinct regimes. Structural sudden regime shifts from a high-volatility regime to a low-volatility one are modeled using Markov-switching vector autoregressive models with sign restrictions, given that the probability transition matrix is either time-invariant or time-variant. Our results on key macroeconomic monthly indicators (industrial production, inflation, interest rate) suggest that uncertainty shocks produce significant short-term effects on industrial production and inflation, slightly different in these two regimes, along with a persistent effect on the interest rate.

Suggested Citation

  • Georgiana Plesa, 2024. "Regime-Dependent Effects of Uncertainty Shocks. A Markov-Switching Approach for Central Eastern European Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 74(1), pages 105-140, March.
  • Handle: RePEc:fau:fauart:v:74:y:2024:i:1:p:105-140
    as

    Download full text from publisher

    File URL: https://journal.fsv.cuni.cz/mag/article/show/id/1530
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Markov-switching; uncertainty shocks; time-varying probability; high-low volatility regimes;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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:fau:fauart:v:74:y:2024:i:1:p:105-140. 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: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.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.