THE METHODOLOGY FOR MEASURING FINANCIAL CONTAGION: THE CASE STUDY OF BANK DEFAULT RISK SIMULATION
https://doi.org/10.26794/2587-5671-2016-20-3-54-61
Abstract
The paper focuses on the methods used for measuring financial contagion through simulation of the bank default risk viewed as a trigger event. Systemic risk and financial contagion as well as the mechanism which enables system risk implementation are considered taking into account such aspects of financial contagion as the existence of overlapping channels of risk transfer, interbank and independent bank levels, and feedback loops impact. The methodology for analyzing financial contagion outcomes is based on the approach allowing for the latent factor. The author examines the methodology while applied for simulating bank default risk. Basic approaches to measure financial contagion in time and structural perspectives have been suggested. An important aspect of the financial effect of contagion is the fact that it occurs in the dynamics which implies a more significant impact than might initially be expected. A weak banking system may have a negative impact on the state as the subsidization of one bank may increase the risk to the whole banking system, which; in turn; will reduce the effectiveness of subsidies for chosen bank, etc. The lasting effect generates a reverse effect loop of financial contagion. The final part of the article shows the similar channels which eventually may provoke financial contagion in Russia.
About the Author
V. E. Rasskazov
Newcastle Business School at Northumbria University
Russian Federation
Russian Federation
References
1. Acharya V., Drechsler I., & Schnabl P. (2014). A Pyrrhic Victory? Bank Bailouts and Sovereign Credit Risk. The Journal of Finance, 69 (6), 2689-2739.
2. Smaga P. (2014). The Concept of Systemic Risk. SRC Special Paper No. 5.
3. Constâncio V. (2012). Contagion and the European debt crisis. Financial Stability Review, Banque De France, (No. 16), 110-111.
4. Altavilla C., Pagano M. & Simonelli S. (2015). Banks Exposures and Sovereign Stress Transmission. ESRB. (2015). Report on the regulatory treatment of sovereign exposures.
5. Rigobon R. (2002). Contagion: How to Measure It? In S. Edwards & J. Frankel, Preventing Currency Crises in Emerging Markets (1st ed.). National Bureau of Economic Research: University of Chicago Press.
6. Pritsker M. (2001). The Channels for Financial Contagion. International Financial Contagion, 67-95.
7. Bisias D., Flood M., Lo A. & Valavanis S. (2012). A Survey of Systemic Risk Analytics. Annu. Rev. Fin. Econ., 4 (1), 255-296.
8. Kaufman G. & Scott K. (2003). What Is Systemic Risk, and Do Bank Regulators Retard or Contribute to It? The Independent Review, VIII (3), 371-391.
9. Giesecke K. & Kim B. (2011). Systemic Risk: What Defaults Are Telling Us. Management Science, 57 (8), 1387-1405.
10. Perotti E., & Suarez J. (2009). Liquidity insurance for systemic crises.
11. Kaufman G. (1994). Bank contagion: A review of the theory and evidence. Journal of Financial Services Research, 8 (2), 123-150.
12. Markwat T., Kole E. & van Dijk D. (2009). Contagion as a domino effect in global stock markets.Journal Of Banking & Finance, 33 (11), 1996-2012.
13. De Bruyckere V., Gerhardt M., Schepens G., & Vander Vennet R. (2013). Bank/sovereign risk spillovers in the European debt crisis. Journal of Banking & Finance, 37 (12), 4793-4809.
14. Gai P. (2013). Systemic risk. Oxford: Oxford University Press.
15. Erce A. (2015). Bank and Sovereign Risk Feedback Loops.
16. Dungey M., Fry R., González-Hermosillo B. & Martin V. (2005). Empirical modelling of contagion: a review of methodologies. Quantitative Finance, 5 (1), 9-24.
17. Suh S. (2015). Measuring sovereign risk contagion in the Eurozone. International Review of Economics & Finance, 35, 45-65.
18. Altman E.I., Danovi A. & Falini A. (2013). Z-score models’ application to Italian companies subject to extraordinary administration. Journal of Applied Finance, 23 (1).
19. Hilscher J., & Nosbusch Y. (2010). Determinants of Sovereign Risk: Macroeconomic Fundamentals and the Pricing of Sovereign Debt. Review of Finance, 14 (2), 235-262.
20. Annaert J., De Ceuster M., Van Roy P. & Vespro C. (2013). What determines Euro area bank CDS spreads? Journal of International Money and Finance, 32, 444-461.
21. Fontana A., & Scheicher M. (2010). An Analysis of Euro Area Sovereign CDS and their Relation with Government Bonds.
22. Äijö J. (2008). Implied volatility term structure linkages between VDAX, VSMI and VSTOXX volatility indices. Global Finance Journal, 18 (3), 290-302.
Review
For citations:
Rasskazov V.E. THE METHODOLOGY FOR MEASURING FINANCIAL CONTAGION: THE CASE STUDY OF BANK DEFAULT RISK SIMULATION. Finance: Theory and Practice. 2016;20(3):54-61. (In Russ.) https://doi.org/10.26794/2587-5671-2016-20-3-54-61
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