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Volatility impacts on the European banking sector: GFC and COVID-19

Author

Listed:
  • Jonathan A. Batten

    (RMIT University College of Business)

  • Tonmoy Choudhury

    (King Fahd University of Petroleum & Minerals)

  • Harald Kinateder

    (University of Passau)

  • Niklas F. Wagner

    (University of Passau)

Abstract

This paper analyses the volatility transmission between European Global Systemically Important Banks (GSIBs) and implied stock market volatility. A Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroskedasticity model is applied to determine the dynamic correlation between returns of Europe’s GSIBs and the world’s most prominent measure of market “fear”, the CBOE Volatility Index (VIX). The results identify a higher negative co-relationship between the VIX and GSIB returns during the COVID-19 period compared with the Global Financial Crisis (GFC), with one-day lagged changes in the VIX negatively Granger-causing bank returns. The asymmetric impact of changes in implied volatility is examined by quantile regressions, with the findings showing that in the lower quartile–where extreme negative bank returns are present–jumps in the VIX are highly significant. This effect is more pronounced during COVID-19 than during the GFC. Additional robustness analysis shows that these findings are consistent during the periods of the Swine Flu and Zika virus epidemics.

Suggested Citation

  • Jonathan A. Batten & Tonmoy Choudhury & Harald Kinateder & Niklas F. Wagner, 2023. "Volatility impacts on the European banking sector: GFC and COVID-19," Annals of Operations Research, Springer, vol. 330(1), pages 335-360, November.
    • Handle: RePEc:spr:annopr:v:330:y:2023:i:1:d:10.1007_s10479-022-04523-8
    DOI: 10.1007/s10479-022-04523-8
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    as
    1. Silvia Gabrieli & Dilyara Salakhova, 2019. "Cross-border interbank contagion in the European banking sector," International Economics, CEPII research center, issue 157, pages 33-54.
    2. Zhiyuan Pan & Yudong Wang & Li Liu & Qing Wang, 2019. "Improving volatility prediction and option valuation using VIX information: A volatility spillover GARCH model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(6), pages 744-776, June.
    3. Saeed Sazzad Jeris & Ridoy Deb Nath, 2021. "US banks in the time of COVID-19: fresh insights from the wavelet approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(2), pages 349-361, June.
    4. Petr Teply & Tomas Klinger, 2019. "Agent-based modeling of systemic risk in the European banking sector," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 811-833, December.
    5. Pancotto, Livia & ap Gwilym, Owain & Williams, Jonathan, 2019. "The European Bank Recovery and Resolution Directive: A market assessment," Journal of Financial Stability, Elsevier, vol. 44(C).
    6. Aloui, Riadh & Aïssa, Mohamed Safouane Ben & Nguyen, Duc Khuong, 2011. "Global financial crisis, extreme interdependences, and contagion effects: The role of economic structure?," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 130-141, January.
    7. Kang, Sang Hoon & Maitra, Debasish & Dash, Saumya Ranjan & Brooks, Robert, 2019. "Dynamic spillovers and connectedness between stock, commodities, bonds, and VIX markets," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    8. John Davis, 2020. "EU‐UK Brexit Negotiations, Covid‐19 and Key Roles for Economists," EuroChoices, The Agricultural Economics Society, vol. 19(1), pages 3-3, April.
    9. Ilyes Abid & Abderrazak Dhaoui & Stéphane Goutte & Khaled Guesmi, 2020. "Hedging and diversification across commodity assets," Applied Economics, Taylor & Francis Journals, vol. 52(23), pages 2472-2492, May.
    10. El Hedi Arouri, Mohamed & Jouini, Jamel & Nguyen, Duc Khuong, 2011. "Volatility spillovers between oil prices and stock sector returns: Implications for portfolio management," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1387-1405.
    11. Shehzad, Khurram & Xiaoxing, Liu & Kazouz, Hayfa, 2020. "COVID-19’s disasters are perilous than Global Financial Crisis: A rumor or fact?," Finance Research Letters, Elsevier, vol. 36(C).
    12. Brahim Gaies & Stéphane Goutte & Khaled Guesmi, 2019. "FDI, banking crises and growth: direct and spill over effects," Applied Economics Letters, Taylor & Francis Journals, vol. 26(20), pages 1655-1658, November.
    13. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    14. Löffler, Gunter & Raupach, Peter, 2018. "Pitfalls in the Use of Systemic Risk Measures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(1), pages 269-298, February.
    15. Batten, Jonathan A. & Kinateder, Harald & Szilagyi, Peter G. & Wagner, Niklas F., 2021. "Hedging stocks with oil," Energy Economics, Elsevier, vol. 93(C).
    16. Ahnert, Toni & Georg, Co-Pierre, 2018. "Information contagion and systemic risk," Journal of Financial Stability, Elsevier, vol. 35(C), pages 159-171.
    17. Adam Clements & Ayesha Scott & Annastiina Silvennoinen, 2019. "Volatility-dependent correlations: further evidence of when, where and how," Empirical Economics, Springer, vol. 57(2), pages 505-540, August.
    18. Aboura, Sofiane & Wagner, Niklas, 2016. "Extreme asymmetric volatility: Stress and aggregate asset prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 47-59.
    19. Kinateder, Harald & Campbell, Ross & Choudhury, Tonmoy, 2021. "Safe haven in GFC versus COVID-19: 100 turbulent days in the financial markets," Finance Research Letters, Elsevier, vol. 43(C).
    20. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & José Álvarez-García, 2021. "A Markov-Switching VSTOXX Trading Algorithm for Enhancing EUR Stock Portfolio Performance," Mathematics, MDPI, vol. 9(9), pages 1-28, May.
    21. Grégory Claeys, 2020. "The European Central Bank in the COVID-19 crisis- whatever it takes, within its mandate," Bruegel Policy Contributions 36749, Bruegel.
    22. Yin-Siang Huang & You-Xun Lu & Yi-Chang Chen, 2021. "Three types of fear play market uncertainty: evidence from bank loan," Applied Economics Letters, Taylor & Francis Journals, vol. 28(1), pages 70-78, January.
    23. Christian Brownlees & Robert F. Engle, 2017. "SRISK: A Conditional Capital Shortfall Measure of Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 48-79.
    24. Ahmet Sensoy & Duc Khuong Nguyen & Ahmed Rostom & Erk Hacihasanoglu, 2019. "Dynamic integration and network structure of the EMU sovereign bond markets," Annals of Operations Research, Springer, vol. 281(1), pages 297-314, October.
    25. Ding, Wenjie & Mazouz, Khelifa & Wang, Qingwei, 2021. "Volatility timing, sentiment, and the short-term profitability of VIX-based cross-sectional trading strategies," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 42-56.
    26. Pagratis, Spyros & Topaloglou, Nikolas & Tsionas, Mike, 2017. "System stress testing of bank liquidity risk," Journal of International Money and Finance, Elsevier, vol. 73(PA), pages 22-40.
    27. Daly, Kevin & Batten, Jonathan A. & Mishra, Anil V. & Choudhury, Tonmoy, 2019. "Contagion risk in global banking sector," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    28. Shahzad, Syed Jawad Hussain & Aloui, Chaker & Jammazi, Rania, 2020. "On the interplay between US sectoral CDS, stock and VIX indices: Fresh insights from wavelet approaches," Finance Research Letters, Elsevier, vol. 33(C).
    29. Fassas, Athanasios P. & Siriopoulos, Costas, 2021. "Implied volatility indices – A review," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 303-329.
    30. Lin, Boqiang & Wesseh, Presley K. & Appiah, Michael Owusu, 2014. "Oil price fluctuation, volatility spillover and the Ghanaian equity market: Implication for portfolio management and hedging effectiveness," Energy Economics, Elsevier, vol. 42(C), pages 172-182.
    31. Djalilov, Abdulaziz & Ülkü, Numan, 2021. "Individual investors’ trading behavior in Moscow Exchange and the COVID-19 crisis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    32. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan & Nguyen, Duc Khuong, 2020. "Dynamic volatility spillover effects between oil and agricultural products," International Review of Financial Analysis, Elsevier, vol. 69(C).
    33. Massaporn Cheuathonghua & Chaiyuth Padungsaksawasdi & Pattana Boonchoo & Jittima Tongurai, 2019. "Extreme spillovers of VIX fear index to international equity markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(1), pages 1-38, March.
    34. Fousekis, Panos, 2020. "Sign and size asymmetry in the stock returns-implied volatility relationship," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    35. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    36. Eugenio Cerutti & Stijn Claessens & Lev Ratnovski, 2017. "Global liquidity and cross-border bank flows," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 32(89), pages 81-125.
    37. Akkoc, Ugur & Civcir, Irfan, 2019. "Dynamic linkages between strategic commodities and stock market in Turkey: Evidence from SVAR-DCC-GARCH model," Resources Policy, Elsevier, vol. 62(C), pages 231-239.
    38. Cai, Jian & Eidam, Frederik & Saunders, Anthony & Steffen, Sascha, 2018. "Syndication, interconnectedness, and systemic risk," Journal of Financial Stability, Elsevier, vol. 34(C), pages 105-120.
    39. Akyildirim, Erdinc & Corbet, Shaen & Lucey, Brian & Sensoy, Ahmet & Yarovaya, Larisa, 2020. "The relationship between implied volatility and cryptocurrency returns," Finance Research Letters, Elsevier, vol. 33(C).
    40. Mensi, Walid & Shahzad, Syed Jawad Hussain & Hammoudeh, Shawkat & Hkiri, Besma & Hamed Al Yahyaee, Khamis, 2019. "Long-run relationships between US financial credit markets and risk factors: Evidence from the quantile ARDL approach," Finance Research Letters, Elsevier, vol. 29(C), pages 101-110.
    41. Akhtaruzzaman, Md & Sensoy, Ahmet & Corbet, Shaen, 2020. "The influence of Bitcoin on portfolio diversification and design," Finance Research Letters, Elsevier, vol. 37(C).
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    More about this item

    Keywords

    COVID-19; Swine Flu (H1N1); Zika virus; GFC; DCC-GARCH; Europe; Global systemically important banks; Implied volatility;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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