Acerbi, C., & Tasche, D. (2002). Expected Shortfall: a natural coherent alternative to Value at Risk. Economic notes, 31(2), 379-388.
Artzner, P., Delbaen, F., Eber, J. & Heath, D. (1999). Coherent Risk Measures. Mathematical Finance, 9(3), 203-228.
Bajalan, S., Raei, R. & Mohammadi, S. (2016). Modeling Insurance Claims Distribution through Combining Generalized Hyperbolic Skew-t Distribution with Extreme Value Theory. Journal of Financial Research, 18(1), 39-58.
(in Persian)
Bali, T.G. & Neftci, S.N. (2003). Disturbing extremal behavior of spot rate dynamics. Journal of Empirical Finance, 10(4), 455-477.
Danielsson, J. & de Vries, C. G. (1997). Tail index and quantile estimation with very high frequency data. Journal of empirical Finance, 4(2), 241-257.
Dimitrakopoulos, D. N., Kavussanos, M. G., & Spyrou, S. I. (2010). Value at risk models for volatile emerging markets equity portfolios. The Quarterly Review of Economics and Finance, 50(4), 515-526.
Dowd, K. (2005). Measuring market risk. England, John Wiley & Sons.
Falahtalab, H., Azizi, M. (2014). Application of Extreme Value Theory in Value at Risk forecasting. Journal of Investment Knowledge, 3(12), 159-180.
(in Persian)
Fallahpour, S., Yar-Ahmadi, M., (2013). Estimation of Value at Risk by using Extreme Value Theory in Tehran Stock Exchange. Journal of Financial Engineering and Portfolio Management, 4(13), 133-158. (in Persian)
Gencay, R. & Selcuk, F. (2004). Extreme value theory and Value-at-Risk: Relative performance in emerging markets. International Journal of Forecasting, 20(2), 287-303.
Gençay, R. & Selçuk, F. (2006). Overnight borrowing, interest rates and extreme value theory. European Economic Review, 50(3), 547-563.
Hansen, P., Lunde, A. & Nason, J. (2011). The model confidence set. Econometrica, 79 (2), 453-497.
Ho, L. C., Burridge, P., Cadle, J. & Theobald, M. (2000). Value-at-risk: Applying the extreme value approach to Asian markets in the recent financial turmoil. Pacific-Basin Finance Journal, 8(2), 249-275.
Hull, J. (2015). Risk Management and Financial Institutions. (Vol. 733). John Wiley & Sons.
Karmakar, M. & Shukla, G. K. (2015). Managing extreme risk in some major stock markets: An extreme value approach. International Review of Economics & Finance, 35, 1-25.
Longin, F. M. (1996). The asymptotic distribution of extreme stock market returns. Journal of business, 69(3), 383-408.
McNeil, A. J., & Frey, R. (2000). Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach. Journal of empirical finance, 7(3), 271-300.
Müller, U. A., Dacorogna, M. M., & Pictet, O. V. (1998). Heavy tails in high-frequency financial data. A practical guide to heavy tails: Statistical techniques and applications, 55-78. ISBN: 0-8176-3951-9.
Mutu, S., Balogh, P. & Moldovan, D. (2011). The efficiency of value at risk models on central and eastern European stock markets. International Journal of Mathematics and Computers in Simulation, 5(2), 110-117.
Olsen, N.N. (2015). The Application of Historical Simulation in Expected Shortfall Prediction: An Empirical Analysis of Risk Models’ Forecasting Accuracy. Thesis for Master of Science in Finance, School of Business and Social Sciences Aarhus University.
Ray, C. I. (2010). Extreme risk management: revolutionary approaches to evaluating and measuring risk. McGraw-Hill.
Ren, F. & Giles, D. E. (2010). Extreme value analysis of daily Canadian crude oil prices. Applied Financial Economics, 20(12), 941-954.
Sajjad, R., Hedayati, S., Hedayati, S. (2014). Estimation of Value at Risk by using Extreme Value Theory. Journal of Investment Knowledge, 3(9), 133-158.
(in Persian)
Singh, A. K., Allen, D. E., & Robert, P. J. (2013). Extreme market risk and extreme value theory. Mathematics and computers in simulation, 94, 310-328.
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