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The Impact of the political instability on Conventional Banks’ stability: Evidence in Tunisia

Riadh Brini and Hatem Jemmali

Abstract

Using the GARCH, E-GARCH models, this paper analyzes the financial stability of a sample of nine Tunisian commercial banks listed in Tunisian Stock Exchange market (BVMT) pre and post the Jasmine revolution, using the daily returns for the period from 02/01/2009 to 29/06/2012. To evaluate the effects of this recent political crisis, we disjointedly consider the pre-crisis period, 2009-2010, the post crisis period, 2011-2012, and the whole period. Before performing the empirical investigation a set of required tests were applied such as the normality, unit root and Heteroskedasticity tests. The results showed that the Tunisian banking system were more stable before the fall of Ben Ali regime, which may due to the strong links with the political stability. The study recommended that banking system in Tunisia need some reforms to diversify their risks and to improve transparency in according loans.

Keywords

Conventional BanksFinancial StabilityBVMTJasmine revolutionGARCH Models.

References

Allen. W.A, and G, Wood. 2006. “Defining and Achieving Financial Stability”, Journal of Financial Stability, 2(2): pp. 152-172. Bollerslev, T. 1986. “Generalized Autoregressive Conditional Heteroskedasticity”, Journal of Econometrics, 31 (3): pp. 307-327. Boumedien, A, and J. Caby. 2009. “The Stability of Islamic Banks during the Subprime Crisis”. Available on: http://ssrn.com/abstract=1524 775 . Chant, J. 2003. “Financial Stability as a Policy Goal”, In Essays on Financial Stability, Bank of Canada. Technical Report No. 95. Cihák, M, and H, Hesse. 2008. “Islamic Banks and Financial Stability”, Journal of Financial Services Research. 38, pp. 95-113. Crockett, A. 1997, “Why is Financial Stability a Goal of Public Policy?, Article provided by Federal Reserve Bank of Kansas City in its Journal Economic Review, pp. 5-22. Davis, E. 2001. “A Typology of Financial Instability”, Oesterreichische National bank (Central Bank of Austria), Financial Stability Report No. 2, pp. 92-110. Elyasiani, E, M, Getmansky, and I, Mansur. 2010. “Asymmetry in, Hedge Fund Return Volatility: An EGARCH Approach”, Available on: http://www90.homepage.villanova.edu/michael.pagano/IM%20ASYMMETRY_IN HF_VOLATILITY.pdf Engle, R. F. 1982. “Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of United Kingdom Inflation”, Econometrica, 50 (4), p. 987–1007. Foot, M. 2003. “What is “financial stability” and how do we get it?” The Roy Bridge Memorial Lecture, Financial Services Authority, Available on: http://www.fsa.gov.uk/Pages/Library/Communication/Speeches/2003/sp122.shtml. Franses, P, H, and H, Ghijsels. 1999. “Additive outliers, GARCH and forecasting volatility”, International Journal of Forecasting, 15, pp. 1–9. Gadanecz, B, and K, Jayaram. 2009. “Measures of financial stability – a review”, IFC Bulletin (31), pp. 365-380. Gujarati, D, N, and D, C, Porter. 2010. Essentials of Economics, 04th edition. McGraw Hill Companies. Hesse, H, and M, Cihák. 2007. “Cooperative Banks and Financial Stability Prepared by Heiko and Martin”, International Monetary Fund, Working Paper No. 07/02. Mishkin, F. 1999. “Global Financial Instability: Framework, Events, Issues”, Journal of Economic Perspectives, 13(4), pp. 3-20. Nelson, D, B. 1991. “Conditional Heteroskedasticity in Asset Returns: A New Approach”, Econometrica, 59(2), pp. 347–370. Schinasi, G. 2004. “Defining Financial Stability”. IMF Working Paper No. WP/04/187, October. Available on: http://cdi.mecon.gov.ar/ biblio/docelec/fmi/wp/wp04187.pdf.