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The European tango between market risk and credit risk: A non-linear approach

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  • Almeida, Dora
  • Ferreira, Paulo
  • Dionísio, Andreia

Abstract

Financial markets are closely connected, with credit and market risks dynamically influencing each other, particularly during extreme events. While their interdependence is well-documented in the literature, the direction and intensity of information flow remain uncertain. Using transfer entropy on European credit and stock volatility indices, we quantify this flow and its dynamics during the most recent extreme events. Our findings reveal a shifting dominance, with the credit market leading during extreme uncertainty, challenging the conventional view of risk market leadership. These patterns underscore the need to monitor the credit market as a potential early warning sign of financial instability.

Suggested Citation

  • Almeida, Dora & Ferreira, Paulo & Dionísio, Andreia, 2025. "The European tango between market risk and credit risk: A non-linear approach," Finance Research Letters, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:finlet:v:83:y:2025:i:c:s1544612325010025
    DOI: 10.1016/j.frl.2025.107744
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    References listed on IDEAS

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    1. Peng Yue & Qing Cai & Wanfeng Yan & Wei-Xing Zhou, 2020. "Information flow networks of Chinese stock market sectors," Papers 2004.08759, arXiv.org.
    2. Dimpfl Thomas & Peter Franziska Julia, 2013. "Using transfer entropy to measure information flows between financial markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(1), pages 85-102, February.
    3. Alexander, Carol & Kaeck, Andreas, 2008. "Regime dependent determinants of credit default swap spreads," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1008-1021, June.
    4. Fujio Toriumi & Kazuki Komura, 2018. "Investment Index Construction from Information Propagation Based on Transfer Entropy," Computational Economics, Springer;Society for Computational Economics, vol. 51(1), pages 159-172, January.
    5. Nicoló Andrea Caserini & Paolo Pagnottoni, 2022. "Effective transfer entropy to measure information flows in credit markets," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(4), pages 729-757, October.
    6. Dimpfl, Thomas & Peter, Franziska J., 2014. "The impact of the financial crisis on transatlantic information flows: An intraday analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 1-13.
    7. Dimpfl, Thomas & Peter, Franziska J., 2019. "Group transfer entropy with an application to cryptocurrencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 543-551.
    8. Breitenfellner, Bastian & Wagner, Niklas, 2012. "Explaining aggregate credit default swap spreads," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 18-29.
    9. Foglia, Matteo & Di Tommaso, Caterina & Wang, Gang-Jin & Pacelli, Vincenzo, 2024. "Interconnectedness between stock and credit markets: The role of European G-SIBs in a multilayer perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    10. Choe, Geon Ho & Choi, So Eun & Jang, Hyun Jin, 2020. "Assessment of time-varying systemic risk in credit default swap indices: Simultaneity and contagiousness," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    11. Da Fonseca, José & Gottschalk, Katrin, 2014. "Cross-hedging strategies between CDS spreads and option volatility during crises," Journal of International Money and Finance, Elsevier, vol. 49(PB), pages 386-400.
    12. Thai Hung, Ngo & Nguyen, Linh Thi My & Vinh Vo, Xuan, 2022. "Exchange rate volatility connectedness during Covid-19 outbreak: DECO-GARCH and Transfer Entropy approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    13. David P Shorten & Richard E Spinney & Joseph T Lizier, 2021. "Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data," PLOS Computational Biology, Public Library of Science, vol. 17(4), pages 1-45, April.
    14. Wisniewski, Tomasz Piotr & Lambe, Brendan John, 2015. "Does economic policy uncertainty drive CDS spreads?," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 447-458.
    15. Lim, Kyuseong & Kim, Sehyun & Kim, Soo Yong, 2017. "Information transfer across intra/inter-structure of CDS and stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 118-126.
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