IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0508.html
   My bibliography  Save this article

Assessment of the Russian stock market volatility impact on credit spreads of Russian corporate bonds

Author

Listed:
  • Patlasov, Dmitry

    (Perm State University, Perm, Russian Federation)

Abstract

This study evaluates the impact of stock market volatility in the Russian Federation on the size and dynamics of credit spreads for Russian corporate bonds. Credit spreads on corporate bonds represent a measure of the risk premium in the public lending market, while stock market indicates stock market instability. Analyzing the relationship between the bond market risk premium and the instability of the stock market is a pertinent task today because these processes may exhibit both direct and inverse correlations. Additionally, formulating hypotheses about whether stock market volatility positively or negatively affects credit spreads of corporate bonds, and vice versa, poses challenges. The study utilizes data on the Moscow Exchange index (MOEX), Russia’s volatility index (RVI), yields of Russian corporate bonds, and values of Russia’s zero-coupon yield curve (KBD). The research aims to identify patterns in the dynamics of the risk premium in the bond market in response to shocks in MOEX volatility. It also seeks to characterize the actions of investors and holders of Russian corporate bonds during periods of heightened volatility in the Russian stock market.

Suggested Citation

  • Patlasov, Dmitry, 2024. "Assessment of the Russian stock market volatility impact on credit spreads of Russian corporate bonds," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 76, pages 29-50.
  • Handle: RePEc:ris:apltrx:0508
    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

    credit spreads; volatility; corporate bonds; coupon-free yield curve; imputed volatility; EGARCH; VAR;
    All these keywords.

    JEL classification:

    • 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
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:0508. 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.