Main Romanian Commercial Banks’ Systemic Risk during Financial Crisis: a CoVar Approach

Gabriela Anghelache, Dumitru-Cristian Oanea

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References:

[1] Anghelache, V. G., Oanea, D. C. & Zugravu, B. (2013). General Aspects Regarding the Methodology for Prediction Risk. Romanian Statistical Review, Supplement no.2, pp. 66-71.

[2] Acharya, V., Pedersen, L., Philippon, T., & Richardson, M. P. (2010). Measuring systemic risk, Tehnical Report, Department of Finance, NYU Stern Faculty.

[3] Acharya, V., Engle, R. F. & Richardson M. (2012). Capital Shortfall: A New Approach to Ranking and Regulating Systemic Risks. American Economic Review, vol. 102 no. 3, pp. 59-64.

[4] Adrian, T. & Brunnermeier, M. (2008). CoVaR, FRB of New York Staff Report no 348.

[5] Bernardi, M., Gayraud, G. & Petrella, L., (2013). Bayesian inference for CoVaR, Preprint arXiv:1306.2834v3 [stat.ME], available online at: http://arxiv.org/abs/1306.2834.

[6] Bollerslev, T. (1986). Generalized autoregressive heteroskedasticity. Journal of Econometrics, no. 31, pp. 307-327.

[7] Borri, N., Caccavaio, M., Di Giorgio. & Sorrentino, A. M. (2012). Systemic Risk in the European Banking Sector. Arcelli Centre for Monetary and Financial Studies, Working Paper no. 11.

[8] Brownlees, C. T. & Engle, R. F. (2012). Volatility, Correlation and Tails for Systemic Risk Measurement. Available at SSRN: http://ssrn.com/abstract=1611229.

[9] Christoffersen, P. (1998). Evaluating Interval Forecasts. International Economic Review, vol. 39, no. 4, pp. 841-862.

[10] Davis, J., Wicas, N. & Kinniry, F. (2004). The Strengths and Weaknesses of Various Financial Simulation Methods. Journal of Wealth Management , vol. 6, no. 4, pp. 33-42.

[11] Engle, R. F. (1982). Autoregresive, conditional heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica, no. 50, pp. 987-1007.

[12] Galdi, F. & Pereira, L. (2007). Value at Risk (VaR) Using Volatility Forecasting Models: EWMA, GARCH and Stochastic Volatility. Brazilian Business Review, vol.4, no. 1, pp. 74-94.

[13] Huang, X., Zhou H. & Zhu H. (2009). A Framework for Assessing the Systemic Risk of Major Financial Institutions. Journal of Banking and Finance vol. 33 no. 11, pp. 2036-2049.

[14] Lambadiaris, G., Papadopoulou, L., Skiadopoulos, G. & Zoulis, Y. (2003). VAR: history or simulation? Multinational Finance Journal, pp. 123-126.

[15] Leavens, D. H. (1945). Diversification of investments. Trusts and Estates, vol. 80, no. 5, 469-473.

[16] López-Espinosa, G., Moreno, A., Rubia, A. & Valderrama, L. (2012). Short-term wholesale funding and systemic risk: A global CoVaR approach. Journal of Banking & Finance , vol. 36, no. 12, pp. 3150-3162.

[17] McMillan, D. & Kambouroudis, D. (2009). Are RiskMetrics forecasts good enough? Evidence from 31 stock markets. International Review Of Financial Analysis, vol. 18, no. 3, pp. 117-124.

[18] Mutu, S. (2012). Contagiunea pe Pia t a Bancara Europeana, Editura Casa Cartii de Stiinta, Cluj Napoca.

[19] Oanea, D. C., Anghelache, V. G. & Zugravu, B. (2013), Econometric Model for Risk Forecasting, Romanian Statistical Review, Supplement no.2, pp. 123-127.

[20] Patev, P., Kanaryan, N. & Lyroudi, K. (2009). Modeling and forecasting the volatility of thin emerging stock markets: the case of Bulgaria. Comparative Economic Research, vol. 12, no. 4, pp. 47- 60.

[21] Roengpitya, R. & Rungcharoenkitkul, P. (2011). Measuring Systemic Risk and Financial Linkages in the Thai Banking System, Systemic Risk, Basel III. Financial Stability and Regulation 2011.

[22] So, M.K.P. & Yo, P.L.H. (2006). Empirical Analysis of Garch Models in Value at Risk Estimation. Journal of international Financial Markets Institutions and Money, vol. 16, no. 2, pp. 180-197.

[23] Sollis, R. (2009). Value at risk: a critical overview. Journal of Finance Regulation and Compliance, no. 17, 398-414.

[24] Tse, Y. K. & Tung, S. H. (1992). Forecasting Volatility in the Singapore Stock Market. Asia Pacific Journal of Management, no. 9, pp. 1-13.

[25] Zugravu, B., Oanea, D. C. & Anghelache, V. G. (2013). Analysis Based on the Risk Metrics Model. Romanian Statistical Review, Supplement no.2, pp. 145-154.

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