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Forecasting the real prices of crude oil using robust regression models with regularization constraints
Hao, Xianfeng; Zhao, Yuyang; Wang, Yudong - In: Energy economics 86 (2020), pp. 1-12
Persistent link: https://www.econbiz.de/10012512193
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Forecasting commodity prices out-of-sample : can technical indicators help?
Wang, Yudong; Liu, Li; Wu, Chongfeng - In: International journal of forecasting 36 (2020) 2, pp. 666-683
Persistent link: https://www.econbiz.de/10012415323
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Momentum of return predictability
Wang, Yudong; Liu, Li; Ma, Feng; Diao, Xundi - In: Journal of empirical finance 45 (2018), pp. 141-156
Persistent link: https://www.econbiz.de/10012102447
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Forecasting the real prices of crude oil : a robust weighted least squares approach
Wang, Yudong; Hao, Xianfeng - In: Energy economics 116 (2022), pp. 1-18
Persistent link: https://www.econbiz.de/10013542061
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Nowcasting in a pandemic using non-parametric mixed frequency VARs
Huber, Florian; Koop, Gary; Onorante, Luca; Pfarrhofer, … - In: Journal of econometrics 232 (2023) 1, pp. 52-69
Persistent link: https://www.econbiz.de/10013472832
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The predictive effect of risk aversion on oil returns under different market conditions
Xiao, Jihong; Wang, Yudong; Wen, Danyan - In: Energy economics 126 (2023), pp. 1-15
Persistent link: https://www.econbiz.de/10014483433
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Forecasting the real prices of crude oil : what is the role of parameter instability?
Wang, Yudong; Hao, Xianfeng - In: Energy economics 117 (2023), pp. 1-20
Persistent link: https://www.econbiz.de/10014436646
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Forecasting US inflation using bayesian nonparametric models
Clark, Todd E.; Huber, Florian; Koop, Gary; Marcellino, … - 2023
Persistent link: https://www.econbiz.de/10014326677
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Tail forecasting with multivariate bayesian additive regression trees
Clark, Todd E.; Huber, Florian; Koop, Gary; Marcellino, … - 2022
Persistent link: https://www.econbiz.de/10013281184
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Forecasting Bitcoin volatility : a new insight from the threshold regression model
Zhang, Yaojie; He, Mengxi; Wen, Danyan; Wang, Yudong - In: Journal of forecasting 41 (2022) 3, pp. 633-652
Persistent link: https://www.econbiz.de/10013166172