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Do long-memory GARCH-type-value-at-risk models outperform none-and semi-parametric value-at-risk models?
Buberkoku, Onder - In: International Journal of Energy Economics and Policy : IJEEP 9 (2019) 2, pp. 199-215
Persistent link: https://www.econbiz.de/10012027037
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Estimating dynamic copula dependence using intraday data
Grossmass, Lidan; Poon, Ser-Huang - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 19 (2015) 4, pp. 501-529
Persistent link: https://www.econbiz.de/10011339412
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Conditional Value-at-Risk : semiparametric estimation and inference
Wang, Chuan-Sheng; Zhao, Zhibiao - In: Journal of econometrics 195 (2016) 1, pp. 86-103
Persistent link: https://www.econbiz.de/10011705234
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Forecasting Value-at-Risk and Expected Shortfall Using Fractionally Integrated Models of Conditional Volatility : International Evidence
Degiannakis, Stavros Antonios - 2018
The present study compares the performance of the long memory FIGARCH model, with that of the short memory GARCH specification, in the forecasting of multi-period Value-at-Risk (VaR) and Expected Shortfall (ES) across 20 stock indices worldwide. The dataset is comprised of daily data covering...
Persistent link: https://www.econbiz.de/10012910119
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Semi-parametric dynamic asymmetric Laplace models for tail risk forecasting, incorporating realized measures
Gerlach, Richard; Wang, Chao - In: International journal of forecasting 36 (2020) 2, pp. 489-506
Persistent link: https://www.econbiz.de/10012415185
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Modeling CAC40 volatility using ultra-high frequency data
Degiannakis, Stavros; Floros, Christos - In: Research in international business and finance 28 (2013), pp. 68-81
Persistent link: https://www.econbiz.de/10009725156
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Empirical evidence on the importance of aggregation, asymmetry, and jumps for volatility prediction
Duong, Diep; Swanson, Norman R. - In: Journal of econometrics 187 (2015) 2, pp. 606-621
Persistent link: https://www.econbiz.de/10011499786
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Realizing the extremes : estimation of tail-risk measures from a high-frequency perspective
Bee, Marco; Dupuis, Debbie J.; Trapin, Luca - In: Journal of empirical finance 36 (2016), pp. 86-99
Persistent link: https://www.econbiz.de/10011662757
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Volatility analysis for the GARCH-Itô-Jumps model based on high-frequency and low-frequency financial data
Fu, Jin-Yu; Lin, Jin-Guan; Hao, Hong-Xia - In: International journal of forecasting 39 (2023) 4, pp. 1698-1712
Persistent link: https://www.econbiz.de/10014465345
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Do realized higher moments have information content? : VaR forecasting based on the realized GARCH-RSRK model
Wang, Tianyi; Liang, Fang; Huang, Zhuo; Yan, Hong - In: Economic modelling 109 (2022), pp. 1-13
Persistent link: https://www.econbiz.de/10013348237