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Benchmark forecast and error modeling
Chen, Zhao-Guo; Wu, Ka Ho - In: Journal of forecasting 36 (2017) 4, pp. 382-394
Persistent link: https://www.econbiz.de/10011860451
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Competition can help predict sales
Fortsch, Sima M.; Choi, Jeong Hoon; Khapalova, Elena A. - In: Journal of forecasting 41 (2022) 2, pp. 331-344
Persistent link: https://www.econbiz.de/10012817763
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Forecasting daily and monthly exchange rates with machine learning techniques
Plakandaras, Vasilios; Papadimitriou, Theophilos; … - In: Journal of forecasting 34 (2015) 7, pp. 560-573
Persistent link: https://www.econbiz.de/10011390457
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Forecasting the stock risk premium : a new statistical constraint
Hao, Xianfeng; Wang, Yudong - In: Journal of forecasting 42 (2023) 7, pp. 1805-1822
Persistent link: https://www.econbiz.de/10014432771
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A quantile regression approach to equity premium prediction
Meligkotsidou, Loukia; Panopulu, Aikaterinē; Vrontos, … - In: Journal of forecasting 33 (2014) 7, pp. 558-576
Persistent link: https://www.econbiz.de/10011282859
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Predictable return distributions
Pedersen, Thomas Q. - In: Journal of forecasting 34 (2015) 2, pp. 114-132
Persistent link: https://www.econbiz.de/10011305289
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Mixed-frequency predictive regressions with parameter learning
Leippold, Markus; Yang, Hanlin - In: Journal of forecasting 42 (2023) 8, pp. 1955-1972
Persistent link: https://www.econbiz.de/10014432824
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Modeling and forecasting aggregate stock market volatility in unstable environments using mixture innovation regressions
Nonejad, Nima - In: Journal of forecasting 36 (2017) 6, pp. 718-740
Persistent link: https://www.econbiz.de/10011861413
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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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Forecasting stock return volatility : the role of shrinkage approaches in a data-rich environment
Dai, Zhifeng; Li, Tingyu; Yang, Mi - In: Journal of forecasting 41 (2022) 5, pp. 980-996
Persistent link: https://www.econbiz.de/10013287893