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Athen's game of chicken or the conditional dependence between the Greek banks

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  • Abdelkader Derbali
  • Slaheddine Hallara
  • Aida Sy

Abstract

In this paper, we investigate empirically evidence to examine the conditional dependence between the Grecian banks. Then, we use, first, the methodology GARCH-DCC based on the dynamic process of dependence and, second, we use the methodology GARCH-DECO based on the constant process of dependence. The two methodologies DCC and DECO proposed, respectively, by Engle (2002), and Engle and Kelly (2009) are improved from a sample composed by 18 Grecian banks listed in the Athens Exchange over the period 2nd January 2006 from 31st December 2012. The results show the effect of time varying variance and dynamic correlations on the assets returns of all banks listed in the stock market of Greece. These results show that asset returns of banks are highly correlated positively, especially, after the outbreak of the financial crisis of 2007.

Suggested Citation

  • Abdelkader Derbali & Slaheddine Hallara & Aida Sy, 2016. "Athen's game of chicken or the conditional dependence between the Greek banks," International Journal of Economics and Accounting, Inderscience Enterprises Ltd, vol. 7(1), pages 1-26.
  • Handle: RePEc:ids:ijecac:v:7:y:2016:i:1:p:1-26
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    1. Ing-Haw Cheng & Wei Xiong, 2014. "Financialization of Commodity Markets," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 419-441, December.
    2. Creti, Anna & Joëts, Marc & Mignon, Valérie, 2013. "On the links between stock and commodity markets' volatility," Energy Economics, Elsevier, vol. 37(C), pages 16-28.
    3. repec:dau:papers:123456789/14980 is not listed on IDEAS
    4. Kee-Hong Bae & G. Andrew Karolyi & René M. Stulz, 2003. "A New Approach to Measuring Financial Contagion," The Review of Financial Studies, Society for Financial Studies, vol. 16(3), pages 717-763, July.
    5. A. G. Malliaris & Jorge L. Urrutia, 2005. "The International Crash of October 1987: Causality Tests," World Scientific Book Chapters, in: Economic Uncertainty, Instabilities And Asset Bubbles Selected Essays, chapter 16, pages 251-262, World Scientific Publishing Co. Pte. Ltd..
    6. Silvennoinen, Annastiina & Thorp, Susan, 2013. "Financialization, crisis and commodity correlation dynamics," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 42-65.
    7. Rachael Carroll & Colm Kearney, 2012. "Do trading volumes explain the persistence of GARCH effects?," Applied Financial Economics, Taylor & Francis Journals, vol. 22(23), pages 1993-2008, December.
    8. Christodoulakis, George A. & Satchell, Stephen E., 2002. "Correlated ARCH (CorrARCH): Modelling the time-varying conditional correlation between financial asset returns," European Journal of Operational Research, Elsevier, vol. 139(2), pages 351-370, June.
    9. Gilmore, Claire G. & McManus, Ginette M., 2002. "International portfolio diversification: US and Central European equity markets," Emerging Markets Review, Elsevier, vol. 3(1), pages 69-83, March.
    10. Robert-Jan Gerrits & Ayse Yuce, 1999. "Short- and long-term links among European and US stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 9(1), pages 1-9.
    11. Annastiina Silvennoinen & Timo Teräsvirta, 2005. "Multivariate Autoregressive Conditional Heteroskedasticity with Smooth Transitions in Conditional Correlations," Research Paper Series 168, Quantitative Finance Research Centre, University of Technology, Sydney.
    12. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    13. Robert Engle, 2001. "GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 157-168, Fall.
    14. Tse, Y K & Tsui, Albert K C, 2002. "A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 351-362, July.
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    Cited by:

    1. Abdelkader DERBALI & Ali LAMOUCHI, 2020. "RETRACTED ARTICLE: The triple (T3) dimension of systemic risk: identifying systemically important banks in Eurozone Abstract: Editor’s Note - This paper has been retracted from our journal due to bogu," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 11, pages 87-122, June.

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