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Measuring Financial Contagion and Spillover Effects with a State-Dependent Sensitivity Value-at-Risk Model

Author

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  • Alin Marius Andries

    (Faculty of Economics and Business Administration, Alexandru Ioan Cuza University of Iasi and Institute for Economic Forecasting, Romanian Academy, 22 Carol I Boulevard, 700505 Iasi, Romania)

  • Elena Galasan

    (Faculty of Economics and Business Administration, Alexandru Ioan Cuza University of Iasi and Institute for Economic Forecasting, Romanian Academy, 22 Carol I Boulevard, 700505 Iasi, Romania)

Abstract

In this paper, we measure the size and the direction of the spillover effects among European commercial banks, with respect to their size, geographical position, income sources, and systemic importance for the period from 2006 to 2016, using a state-dependent sensitivity value-at-risk model, conditioning on the state of the financial market. Low during normal times, the same shocks cause notable spillover effects during the volatile period. The results suggest a high level of interconnectedness across all the European regions, highlighting the importance of large and systemic important banks that create considerable systemic risk during the entire period. Regarding the non-interest income banks, the outcomes reveals an alert signal concerning the spillovers spread to interest income banks.

Suggested Citation

  • Alin Marius Andries & Elena Galasan, 2020. "Measuring Financial Contagion and Spillover Effects with a State-Dependent Sensitivity Value-at-Risk Model," Risks, MDPI, vol. 8(1), pages 1-20, January.
  • Handle: RePEc:gam:jrisks:v:8:y:2020:i:1:p:5-:d:307357
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    References listed on IDEAS

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    1. Acharya, Viral V., 2009. "A theory of systemic risk and design of prudential bank regulation," Journal of Financial Stability, Elsevier, vol. 5(3), pages 224-255, September.
    2. Gropp, Reint & Moerman, Gerard, 2004. "Measurement of contagion in banks' equity prices," Journal of International Money and Finance, Elsevier, vol. 23(3), pages 405-459, April.
    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. Paolo Giudici & Laura Parisi, 2018. "CoRisk: Credit Risk Contagion with Correlation Network Models," Risks, MDPI, vol. 6(3), pages 1-19, September.
    5. Reint Gropp & Arjan Kadareja, 2012. "Stale Information, Shocks, and Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(6), pages 1117-1149, September.
    6. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
    7. Bekaert, Geert & Harvey, Campbell R. & Lundblad, Christian, 2005. "Does financial liberalization spur growth?," Journal of Financial Economics, Elsevier, vol. 77(1), pages 3-55, July.
    8. Laeven, Luc & Ratnovski, Lev & Tong, Hui, 2016. "Bank size, capital, and systemic risk: Some international evidence," Journal of Banking & Finance, Elsevier, vol. 69(S1), pages 25-34.
    9. Jeffrey D. Sachs & Aaron Tornell & Andrés Velasco, 1996. "Financial Crises in Emerging Markets: The Lessons from 1995," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(1), pages 147-216.
    10. Varotto, Simone & Zhao, Lei, 2018. "Systemic risk and bank size," Journal of International Money and Finance, Elsevier, vol. 82(C), pages 45-70.
    11. Gorton, Gary & Metrick, Andrew, 2012. "Securitized banking and the run on repo," Journal of Financial Economics, Elsevier, vol. 104(3), pages 425-451.
    12. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    13. Giudici, Paolo & Abu-Hashish, Iman, 2019. "What determines bitcoin exchange prices? A network VAR approach," Finance Research Letters, Elsevier, vol. 28(C), pages 309-318.
    14. Allen, Franklin & Carletti, Elena & Gale, Douglas, 2009. "Interbank market liquidity and central bank intervention," Journal of Monetary Economics, Elsevier, vol. 56(5), pages 639-652, July.
    15. Ballester, Laura & Casu, Barbara & González-Urteaga, Ana, 2016. "Bank fragility and contagion: Evidence from the bank CDS market," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 394-416.
    16. 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.
    17. Grant Kirkpatrick, 2009. "The corporate governance lessons from the financial crisis," OECD Journal: Financial Market Trends, OECD Publishing, vol. 2009(1), pages 61-87.
    18. Graham Bird & Ramkishen S. Rajan, 2001. "Banks, Financial Liberalisation and Financial Crises in Emerging Markets," The World Economy, Wiley Blackwell, vol. 24(7), pages 889-910, July.
    19. Tuomas Antero Peltonen & Michela Rancan & Peter Sarlin, 2019. "Interconnectedness of the banking sector as a vulnerability to crises," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(2), pages 963-990, April.
    20. Ricardo J. Caballero & Alp Simsek, 2013. "Fire Sales in a Model of Complexity," Journal of Finance, American Finance Association, vol. 68(6), pages 2549-2587, December.
    21. Boyd, John H. & Runkle, David E., 1993. "Size and performance of banking firms : Testing the predictions of theory," Journal of Monetary Economics, Elsevier, vol. 31(1), pages 47-67, February.
    22. Mr. Paul R Masson, 1998. "Contagion: Monsoonal Effects, Spillovers, and Jumps Between Multiple Equilibria," IMF Working Papers 1998/142, International Monetary Fund.
    23. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    24. Emidio Cocozza & Paolo Piselli, 2011. "Testing for East-West contagion in the European banking sector during the financial crisis," Temi di discussione (Economic working papers) 790, Bank of Italy, Economic Research and International Relations Area.
    25. Mark Mink & Jakob de Haan & Jakob de Haan, 2014. "Spillovers from Systemic Bank Defaults," CESifo Working Paper Series 4792, CESifo.
    26. Singh Amanjot, 2017. "Modeling Conditional Volatility of Indian Banking Sector’s Stock Market Returns," Scientific Annals of Economics and Business, Sciendo, vol. 64(3), pages 325-338, October.
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