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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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Forecasting volatility with the realized range in the presence of noise and non-trading
Bannouh, Karim; Martens, Martin; Dijk, Dick van - In: The North American journal of economics and finance : a … 26 (2013), pp. 535-551
Persistent link: https://www.econbiz.de/10010370495
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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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Bayesian realized-GARCH models for financial tail risk forecasting incorporating the two-sided Weibull distribution
Wang, Chao; Chen, Qian; Gerlach, Richard - In: Quantitative finance 19 (2019) 6, pp. 1017-1042
Persistent link: https://www.econbiz.de/10012194739
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The information content of sentiment indices in forecasting Value at Risk and Expected Shortfall : a Complete Realized Exponential GARCH-X approach
Naimoli, Antonio - In: International economics : a journal published by CEPII … 176 (2023), pp. 1-12
Persistent link: https://www.econbiz.de/10014468603
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An approximate long-memory range-based approach for value at risk estimation
Meng, Xiaochun; Taylor, James W. - In: International journal of forecasting 34 (2018) 3, pp. 377-388
Persistent link: https://www.econbiz.de/10012030985
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Improving (E)GARCH forecasts with robust realized range measures : evidence from international markets
Mendes, Beatriz Vaz de Melo; Accioly, Victor Bello - In: Journal of economics and finance 41 (2017) 4, pp. 631-658
Persistent link: https://www.econbiz.de/10011802188
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Forecasting the volatility of S&P depositary receipts using GARCH-type models under intraday range-based and return-based proxy measures
Liu, Hung-Chun; Chiang, Shu-mei; Cheng, Nick Ying-pin - In: International review of economics & finance : IREF 22 (2012) 1, pp. 78-91
Persistent link: https://www.econbiz.de/10009618705
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The impact of trading volume, number of trades and overnight returns on forecasting the daily realized range
Todorova, Neda; Souček, Michael - In: Economic modelling 36 (2014), pp. 332-340
Persistent link: https://www.econbiz.de/10010415483
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Modeling and forecasting exchange rate volatility in time-frequency domain
Barunik, Jozef; Krehlik, Tomas; Vacha, Lukas - 2016
This paper proposes an enhanced approach to modeling and forecasting volatility using high frequency data. Using a forecasting model based on Realized GARCH with multiple time-frequency decomposed realized volatility measures, we study the influence of different timescales on volatility...
Persistent link: https://www.econbiz.de/10011412440