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.

    References listed on IDEAS

    as
    1. Li, Xiao-Lin & Li, Xin & Si, Deng-Kui, 2020. "Asymmetric determinants of corporate bond credit spreads in China: Evidence from a nonlinear ARDL model," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    2. Ann Marie Hibbert & Ivelina Pavlova & Joel Barber & Krishnan Dandapani, 2011. "Credit Spread Changes and Equity Volatility: Evidence from Daily Data," The Financial Review, Eastern Finance Association, vol. 46(3), pages 357-383, August.
    3. Bansal, Naresh & Connolly, Robert A. & Stivers, Chris, 2014. "The Stock-Bond Return Relation, the Term Structure’s Slope, and Asset-Class Risk Dynamics," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 699-724, June.
    4. Lee, Hwang Hee & Hyun, Jung-Soon, 2019. "The asymmetric effect of equity volatility on credit default swap spreads," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 125-136.
    5. Daniel Jubinski & Amy F. Lipton, 2012. "Equity volatility, bond yields, and yield spreads," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(5), pages 480-503, May.
    6. Doron Avramov & Gergana Jostova & Alexander Philipov, 2007. "Understanding Changes in Corporate Credit Spreads," Financial Analysts Journal, Taylor & Francis Journals, vol. 63(2), pages 90-105, March.
    7. Bewley, Ronald & Rees, David & Berg, Paul, 2004. "The impact of stock market volatility on corporate bond credit spreads," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(3), pages 363-372.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bansal, Naresh & Connolly, Robert A. & Stivers, Chris, 2015. "Equity volatility as a determinant of future term-structure volatility," Journal of Financial Markets, Elsevier, vol. 25(C), pages 33-51.
    2. Bouri, Elie & Gupta, Rangan & Tiwari, Aviral Kumar & Roubaud, David, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Finance Research Letters, Elsevier, vol. 23(C), pages 87-95.
    3. Okimoto, Tatsuyoshi & Takaoka, Sumiko, 2020. "No-arbitrage determinants of credit spread curves under the unconventional monetary policy regime in Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    4. Hsu, Chih-Hsiang & Lee, Hsiu-Chuan & Lien, Donald, 2020. "Stock market uncertainty, volatility connectedness of financial institutions, and stock-bond return correlations," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 600-621.
    5. Juan Carlos Reboredo & Nader Naifar, 2017. "Do Islamic Bond (Sukuk) Prices Reflect Financial and Policy Uncertainty? A Quantile Regression Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(7), pages 1535-1546, July.
    6. Bazgour Tarik & Heuchenne Cedric & Hübner Georges & Sougné Danielle, 2021. "How do volatility regimes affect the pricing of quality and liquidity in the stock market?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(1), pages 1-17, February.
    7. Lumengo Bonga-Bonga & Sefora Motena Rangoanana, 2022. "Carry Trade and Capital Market Returns in South Africa," JRFM, MDPI, vol. 15(11), pages 1-13, October.
    8. Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," MPRA Paper 63844, University Library of Munich, Germany.
    9. Nader Naifar, 2020. "What Explains the Sovereign Credit Default Swap Spreads Changes in the GCC Region?," JRFM, MDPI, vol. 13(10), pages 1-22, October.
    10. Tian, Lihui & Li, Xin & Lee, Cheng-Wen & Spulbăr, Cristi, 2024. "Investigating the asymmetric impact of artificial intelligence on renewable energy under climate policy uncertainty," Energy Economics, Elsevier, vol. 137(C).
    11. Bouri, Elie & Gupta, Rangan & Hosseini, Seyedmehdi & Lau, Chi Keung Marco, 2018. "Does global fear predict fear in BRICS stock markets? Evidence from a Bayesian Graphical Structural VAR model," Emerging Markets Review, Elsevier, vol. 34(C), pages 124-142.
    12. Miao Jia, 2016. "The Long-Run Effects of the Fed’s Monetary Policy on the Dynamics among Major Asset Classes," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 51(1), pages 9-19, September.
    13. Robert A Connolly & David Dubofsky & Chris Stivers, 2021. "Economic-State Variation in Uncertainty-Yield Dynamics [Do macro variables, asset markets, or surveys forecast inflation better?]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 11(1), pages 60-104.
    14. Radeef Chundakkadan & Subash Sasidharan, 2021. "Central bank's money market operations and daily stock returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 136-152, January.
    15. Gormus, Alper & Nazlioglu, Saban & Soytas, Ugur, 2018. "High-yield bond and energy markets," Energy Economics, Elsevier, vol. 69(C), pages 101-110.
    16. Ngene, Geoffrey M., 2021. "What drives dynamic connectedness of the U.S equity sectors during different business cycles?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    17. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    18. Lee, Geul & Ryu, Doojin, 2024. "Investor sentiment or information content? A simple test for investor sentiment proxies," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    19. Huang, Guan-Ying & Huang, Henry H. & Lee, Chun I, 2019. "Is CEO pay disparity relevant to seasoned bondholders?," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 271-289.
    20. Abad, Pilar & Robles, M. Dolores, 2014. "Credit rating agencies and idiosyncratic risk: Is there a linkage? Evidence from the Spanish Market," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 152-171.

    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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.