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Original Articles

GJR-GARCH model in value-at-risk of financial holdings

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Pages 1819-1829 | Published online: 19 Sep 2011

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P. Mantalos, A. Karagrigoriou, L. Střelec, P. Jordanova, P. Hermann, J. Kiseľák, J. Hudák & M. Stehlík. (2020) On improved volatility modelling by fitting skewness in ARCH models. Journal of Applied Statistics 47:6, pages 1031-1063.
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Yuyun Hidayat, Titi Purwandari, Sukono, Igif Gimin Prihanto, Rizki Apriva Hidayana & Riza Andrian Ibrahim. (2023) Mean-Value-at-Risk Portfolio Optimization Based on Risk Tolerance Preferences and Asymmetric Volatility. Mathematics 11:23, pages 4761.
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D B Nugroho, D Kurniawati, L P Panjaitan, Z Kholil, B Susanto & L R Sasongko. (2019) Empirical performance of GARCH, GARCH-M, GJR-GARCH and log-GARCH models for returns volatility. Journal of Physics: Conference Series 1307:1, pages 012003.
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Xiao-Li Gong, Xi-Hua Liu & Xiong Xiong. (2019) Measuring tail risk with GAS time varying copula, fat tailed GARCH model and hedging for crude oil futures. Pacific-Basin Finance Journal 55, pages 95-109.
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Carol Alexander, Andreas Kaeck & Anannit Sumawong. (2019) A parsimonious parametric model for generating margin requirements for futures. European Journal of Operational Research 273:1, pages 31-43.
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