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Forecasting robust value-at-risk estimates : evidence from UK banks
Sampid, Marius Galabe; Hasim, Haslifah Mohamad - In: Quantitative finance 21 (2021) 11, pp. 1955-1975
Persistent link: https://www.econbiz.de/10012696799
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Time-varying parameters realized GARCH models for tracking attenuation bias in volatility dynamics
Gerlach, Richard; Naimoli, Antonio; Storti, Giuseppe - In: Quantitative finance 20 (2020) 11, pp. 1849-1878
Persistent link: https://www.econbiz.de/10012295647
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Assessing the accuracy of exponentially weighted moving average models for value-at-risk and expected shortfall of crypto portfolios
Alexander, Carol; Dakos, Michael - In: Quantitative finance 23 (2023) 3, pp. 393-427
Persistent link: https://www.econbiz.de/10014232660
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Point and density prediction of intra-day volume using Bayesian linear ACV models : evidence from the Polish stock market
Huptas, Roman - In: Quantitative finance 18 (2018) 5, pp. 749-760
Persistent link: https://www.econbiz.de/10011907915
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Backtesting expected shortfall and beyond
Deng, Kaihua; Qiu, Jie - In: Quantitative finance 21 (2021) 7, pp. 1109-1125
Persistent link: https://www.econbiz.de/10012588022
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GARCH-UGH : a bias-reduced approach for dynamic extreme Value-at-Risk estimation in financial time series
Kaibuchi, Hibiki; Kawasaki, Yoshinori; Stupfler, G. - In: Quantitative finance 22 (2022) 7, pp. 1277-1294
Persistent link: https://www.econbiz.de/10013367899
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Short-term volatility forecasting with kernel support vector regression and Markov switching multifractal model
Khashanah, Khaldoun; Shao, Chenjie - In: Quantitative finance 22 (2022) 2, pp. 241-253
Persistent link: https://www.econbiz.de/10013167735
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Bayesian model averaging and the conditional volatility process : an application to predicting aggregate equity returns by conditioning on economic variables
Nonejad, Nima - In: Quantitative finance 21 (2021) 8, pp. 1387-1411
Persistent link: https://www.econbiz.de/10012608655
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Jumps and oil futures volatility forecasting : a new insight
Ma, Feng; Liang, Chao; Zeng, Qing; Li, Haibo - In: Quantitative finance 21 (2021) 5, pp. 853-863
Persistent link: https://www.econbiz.de/10012500197
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A neural network enhanced volatility component model
Zhai, Jia; Cao, Yi; Liu, Xiaoquan - In: Quantitative finance 20 (2020) 5, pp. 783-797
Persistent link: https://www.econbiz.de/10012262620