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Predicting stock return volatility : can we benefit from regression models for return intervals?
Fischer, Henning; Blanco-Fernández, Ángela; Winker, Peter - In: Journal of forecasting 35 (2016) 2, pp. 113-146
Persistent link: https://www.econbiz.de/10011580244
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Backtesting value‐at‐risk : a generalized Markov test
Pajhede, Thor - In: Journal of forecasting 36 (2017) 5, pp. 597-613
Persistent link: https://www.econbiz.de/10011860704
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Taming data-driven probability distributions
Baruník, Jozef; Hanus, Luboš - In: Journal of forecasting 44 (2025) 2, pp. 676-691
Persistent link: https://www.econbiz.de/10015374076
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Bayesian analysis of Vector ARMA models using Gibbs sampling
Ravishanker, Nalini - In: Journal of forecasting 16 (1997) 3, pp. 177-194
Persistent link: https://www.econbiz.de/10001227335
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Density forecasting with time-varying higher moments : a model confidence set approach
Wilhelmsson, Anders - In: Journal of forecasting 32 (2013) 1, pp. 19-31
Persistent link: https://www.econbiz.de/10009758731
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Robust estimation of conditional variance of time series using density power divergences
Park, Jin‐Hong; Sriram, T. N. - In: Journal of forecasting 36 (2017) 6, pp. 703-717
Persistent link: https://www.econbiz.de/10011861411
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Dynamic density forecasts for multivariate asset returns
Polanski, Arnold; Stoja, Evarist - In: Journal of forecasting 30 (2011) 6, pp. 523-540
Persistent link: https://www.econbiz.de/10009354712
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Prediction of α‐stable GARCH and ARMA‐GARCH‐M models
Mohammadi, Mohammad - In: Journal of forecasting 36 (2017) 7, pp. 859-866
Persistent link: https://www.econbiz.de/10011860776
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Predicting the distribution of stock returns : model formulation, statistical evaluation, VaR analysis and economic significance
Massacci, Daniele - In: Journal of forecasting 34 (2015) 3, pp. 191-208
Persistent link: https://www.econbiz.de/10011305266
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Forecasting stock return volatility : realized volatility-type or duration-based estimators
Fei, Tianlun; Liu, Xiaoquan; Wen, Conghua - In: Journal of forecasting 42 (2023) 7, pp. 1594-1621
Persistent link: https://www.econbiz.de/10014432725