References
- Abad, P., Benito, S., López, C. (2014). A Comprehensive Review of Value at Risk Methodologies. The Spanish Review of Financial Economics, 12(1), 15-32.
- Alonso, J.C., Arcos, M.A. (2006). Cuatro Hechos Estilizados De Las Series De Rendimientos: Una Ilustración Para Colombia. Estudios Gerenciales, 22(100), 103-124.
- Angelidis, T., Benos, A., Degiannakis, S. (2004). The Use of GARCH Models in VaR Estimation. Statistical Methodology, 1(2), 105-128.
- Barone-Adesi, G., Giannopoulos, K., Vosper, L. (1999). VaR without Correlations for Nonlinear Portfolios. Journal of Futures Markets, 19(5), 583–602.
- Basle Committee on Banking Supervision, (1996). Supervisory Framework for the Use of “Backtesting” In Conjunction with the Internal Models Approach to Market Risk Capital Requirements.
- Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroscedasticity. Journal of Econometrics, 31(3), 307-327.
- Bollerslev, T. (1987). Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return. The Review of Economics and Statistics, 69(3), 542-547.
- Caporin, M. (2008). Evaluating Value-at-Risk Measures in Presence of Long Memory Conditional Volatility. Journal of Risk, 10(3), 79-110.
- Christoffersen, P. (1998). Evaluating Interval Forecasts. International Economic Review, 39(4), 841–862.
- Diebold, F.X., Mariano, R.S. (1995). Comparing Predictive Accuracy. Journal of Business & Economic Statistics, 20(1), 134-144.
- Dowd, K. (2002). Measuring Market Risk. Chichester: John Wiley & Sons, Ltd.
- Engle, R.F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50(4), 987-1007.
- Engle, R.F. (2001). GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics. Journal of Economic Perspectives, 15(4), 157-168.
- Engle, R.F. (2004). Risk and Volatility: Econometric Models and Financial Practice. The American Economic Review, 94(3), 405-420.
- Engle, R.F., Manganelli, S. (2001). Value at Risk Models in Finance. European Central Bank Working Papers, 75.
- Engle, R F., Manganelli, S. (2004). CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles. Journal of Business & Economic Statistics, 22(4), 367-381.
- Jorion, P. (2007). Value at Risk – The New Benchmark for Managing Financial Risk. New York: McGraw-Hill.
- Kupiec, P. (1995). Techniques for Verifying the Accuracy of Risk Management Models. Journal of Derivatives, 3(2), 73-84.
- McAleer, M., Jimenez-Martin, J.-A., Perez-Amaral, T. (2009). Has the Basel II Accord Encouraged Risk Management During the 2008-2009 Financial Crisis?
- Tsay, R.S. (2005). Analysis of Financial Time Series. Chicago: John Wiley & Sons, Ltd.
- Sarma, M., Thomas, S., Shah, A. (2003). Selection of Value-at-Risk Models. Journal of Forecasting, 22(4), 337-358.
- Shams, M., Sina, A. (2014). Evaluating Market Risk Assessment through VAR Approach before and after Financial Crisis in Tehran Stock Exchange Market (TSEM). Journal of Management and Sustainability, 4(2), 134-146.
- Su, J.B., Hung, J.C. (2011). Empirical Analysis of Jump Dynamics, Heavy-tails and Skewness on Value-at-risk Estimation. Economic Modelling, 28(3), 1117-1130.
- Tagliafichi, R.A. (2003). The Estimation of Market VaR using GARCH Models and a Heavy Tail Distributions. Paper presented at ASTIN Colloquium International Actuarial Association, Brussels.