IDEAS home Printed from https://ideas.repec.org/a/fst/rfsisf/v16y2024i9p81-95.html
   My bibliography  Save this article

European Financial Markets Exposed to Exogenous Shocks: Communication Dynamics Among Investors and Tech Models to Detect Financial Contagion

Author

Listed:
  • Cecilia Ciocîrlan

    (National University of Political Studies and Public Administration, Bucharest, Romania)

  • Andreea Popescu-Crețulescu

    (Bucharest University of Economics Studies, Bucharest, Romania)

  • Andreea Mădălina Stancea

    (National University of Political Studies and Public Administration, Bucharest, Romania)

Abstract

Brexit, the Covid Pandemic and the Russia-Ukraine War represent the latest three major global events that have demonstrated that financial contagion is a phenomenon that needs careful study because its global effects can cause unprecedented shocks to regional and global financial markets. The main reason is related to the interconnectedness of these markets, the interdependence between countries, and the connections created over decades between national and international financial institutions. In this paper, we aim to analyze, using the Diebold-Yilmaz (DY) methodology proposed by Diebold and Yilmaz in 2014, the effects of financial contagion in the three major crises Brexit, Covid and the Russia-Ukraine war (first year). Financial contagion is primarily a fear-driven phenomenon. Financial network connectivity has the potential to change due to investors’ fear during events that are disturbing and cause exogenous turbulence. We use the network analysis established by Diebold and Yilmaz (2014) to study how SCDS (Credit Default Sovereign Markets) markets changed their interconnectedness around exogenous shocks in the last decade (Brexit, the Covid-19 pandemic, and the Russian invasion of Ukraine).

Suggested Citation

  • Cecilia Ciocîrlan & Andreea Popescu-Crețulescu & Andreea Mădălina Stancea, 2024. "European Financial Markets Exposed to Exogenous Shocks: Communication Dynamics Among Investors and Tech Models to Detect Financial Contagion," Journal of Financial Studies, Institute of Financial Studies, vol. 16(9), pages 81-95, May.
    • Handle: RePEc:fst:rfsisf:v:16:y:2024:i:9:p:81-95
    DOI: 10.55654/JFS.2024.9.16.06
    as

    Download full text from publisher

    File URL: https://revista.isfin.ro/wp-content/uploads/2024/05/6.-Ciorcirlan-Cecilia-et.pdf
    Download Restriction: no
    File URL: https://revista.isfin.ro/2024/05/25/european-financial-markets-exposed-to-exogenous-shocks-communication-dynamics-among-investors-and-tech-models-to-detect-financial-contagion/
    Download Restriction: no
    File URL: https://libkey.io/10.55654/JFS.2024.9.16.06?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Qureshi, Anum & Rizwan, Muhammad Suhail & Ahmad, Ghufran & Ashraf, Dawood, 2022. "Russia–Ukraine war and systemic risk: Who is taking the heat?," Finance Research Letters, Elsevier, vol. 48(C).
    2. Ansgar Belke & Irina Dubova & Thomas Osowski, 2018. "Policy uncertainty and international financial markets: the case of Brexit," Applied Economics, Taylor & Francis Journals, vol. 50(34-35), pages 3752-3770, July.
    3. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    4. Simon Gilchrist & Egon Zakrajsek, 2012. "Credit Spreads and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 102(4), pages 1692-1720, June.
    5. Lo, Gaye-Del & Marcelin, Isaac & Bassène, Théophile & Sène, Babacar, 2022. "The Russo-Ukrainian war and financial markets: the role of dependence on Russian commodities," Finance Research Letters, Elsevier, vol. 50(C).
    6. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    7. Demian Pouzo & Ignacio Presno, 2016. "Sovereign Default Risk and Uncertainty Premia," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(3), pages 230-266, July.
    8. Bierth, Christopher & Irresberger, Felix & Weiß, Gregor N.F., 2015. "Systemic risk of insurers around the globe," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 232-245.
    9. Nikkinen, Jussi & Omran, Mohammad M. & Sahlstrom, Petri & Aijo, Janne, 2008. "Stock returns and volatility following the September 11 attacks: Evidence from 53 equity markets," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 27-46.
    10. Zaremba, Adam & Cakici, Nusret & Demir, Ender & Long, Huaigang, 2022. "When bad news is good news: Geopolitical risk and the cross-section of emerging market stock returns," Journal of Financial Stability, Elsevier, vol. 58(C).
    11. Dornbusch, Rudiger & Park, Yung Chul & Claessens, Stijn, 2000. "Contagion: Understanding How It Spreads," The World Bank Research Observer, World Bank, vol. 15(2), pages 177-197, August.
    12. González-Velasco, Carmen & García-López, Marcos & González-Fernández, Marcos, 2022. "Does sovereign risk impact banking risk in the Eurozone? Evidence from the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 47(PA).
    13. Kollias, Christos & Manou, Efthalia & Papadamou, Stephanos & Stagiannis, Apostolos, 2011. "Stock markets and terrorist attacks: Comparative evidence from a large and a small capitalization market," European Journal of Political Economy, Elsevier, vol. 27(S1), pages 64-77.
    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. Palomba, Giulio & Tedeschi, Marco, 2024. "Contagion among European financial indices, evidence from a quantile VAR approach," Economic Systems, Elsevier, vol. 48(2).
    2. Pan, Wei-Fong & Wang, Xinjie & Xiao, Yaqing & Xu, Weike & Zhang, Jinfan, 2024. "The effect of economic and political uncertainty on sovereign CDS spreads," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 143-155.
    3. Yilmazkuday, Hakan, 2024. "Geopolitical risk and stock prices," European Journal of Political Economy, Elsevier, vol. 83(C).
    4. Jalloul, Maya & Miescu, Mirela, 2023. "Equity market connectedness across regimes of geopolitical risks: Historical evidence and theory," Journal of International Money and Finance, Elsevier, vol. 137(C).
    5. Abakah, Emmanuel Joel Aikins & Adeabah, David & Tiwari, Aviral Kumar & Abdullah, Mohammad, 2023. "Effect of Russia–Ukraine war sentiment on blockchain and FinTech stocks," International Review of Financial Analysis, Elsevier, vol. 90(C).
    6. Geert Bekaert & Eric C. Engstrom & Nancy R. Xu, 2022. "The Time Variation in Risk Appetite and Uncertainty," Management Science, INFORMS, vol. 68(6), pages 3975-4004, June.
    7. Konstantinos Drakos, 2009. "Cross-Country Stock Market Reactions to Major Terror Events: The Role of Risk Perception," Economics of Security Working Paper Series 16, DIW Berlin, German Institute for Economic Research.
    8. Collet, Jerome & Ielpo, Florian, 2018. "Sector spillovers in credit markets," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 267-278.
    9. Umar, Muhammad & Riaz, Yasir & Yousaf, Imran, 2022. "Impact of Russian-Ukraine war on clean energy, conventional energy, and metal markets: Evidence from event study approach," Resources Policy, Elsevier, vol. 79(C).
    10. Kanga, Désiré & Soumaré, Issouf & Amenounvé, Edoh, 2023. "Can corporate financing through the stock market create systemic risk? Evidence from the BRVM securities market," Emerging Markets Review, Elsevier, vol. 55(C).
    11. Beyer, Andreas & Alter, Adrian, 2013. "The dynamics of spillover effects during the European sovereign debt crisis," Working Paper Series 1558, European Central Bank.
    12. Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Yousaf, Imran & Kumar Tiwari, Aviral & Li, Yanshuang, 2024. "Economic sanctions sentiment and global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    13. Maya Jalloul & Mirela Miescu, 2021. "Equity Market Connectedness across Regimes of Geopolitical Risks," Working Papers 324219805, Lancaster University Management School, Economics Department.
    14. Zhizhen Chen & Guifen Shi & Boyang Sun, 2024. "Cross-border spillovers in G20 sovereign CDS markets: cluster analysis based on K-means machine learning algorithm and TVP–VAR models," Empirical Economics, Springer, vol. 67(6), pages 2463-2502, December.
    15. Salisu, Afees A. & Ogbonna, Ahamuefula E. & Lasisi, Lukman & Olaniran, Abeeb, 2022. "Geopolitical risk and stock market volatility in emerging markets: A GARCH – MIDAS approach," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    16. Guhathakurta, Kousik & Dash, Saumya Ranjan & Maitra, Debasish, 2020. "Period specific volatility spillover based connectedness between oil and other commodity prices and their portfolio implications," Energy Economics, Elsevier, vol. 85(C).
    17. Nicholas Apergis & Matteo Bonato & Rangan Gupta & Clement Kyei, 2016. "Does Geopolitical Risks Predict Stock Returns and Volatility of Leading Defense Companies? Evidence from a Nonparametric Approach," Working Papers 201671, University of Pretoria, Department of Economics.
    18. Bergbrant, Mikael C. & Bradley, Daniel & Hunter, Delroy M., 2017. "Does bank loan supply affect the supply of equity capital? Evidence from new share issuance and withdrawal," Journal of Financial Intermediation, Elsevier, vol. 29(C), pages 32-45.
    19. Kaviani, Mahsa S. & Kryzanowski, Lawrence & Maleki, Hosein & Savor, Pavel, 2020. "Policy uncertainty and corporate credit spreads," Journal of Financial Economics, Elsevier, vol. 138(3), pages 838-865.
    20. Gök, Remzi & Bouri, Elie & Gemici, Eray, 2023. "Volatility spillovers between sovereign CDS and futures markets in various volatility states: Evidence from an emerging economy around the pandemic," Research in International Business and Finance, Elsevier, vol. 66(C).

    More about this item

    Keywords

    Financial contagion; DY methodology; VAR model; SCDS Markets; exogenous shocks.;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:fst:rfsisf:v:16:y:2024:i:9:p:81-95. 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: Cosmin Catalin Olteanu (email available below). General contact details of provider: https://edirc.repec.org/data/isfinro.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.