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Empirical analysis and forecasting of volatility dynamics in high-frequency returns with time-varying components
Man, Kasing; Wu, Chunchi - In: Journal of forecasting 29 (2010) 7, pp. 595-616
Persistent link: https://www.econbiz.de/10008935450
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Predicting cyclical turning points with leading index in a Markow switching model
Lahiri, Kajal - In: Journal of forecasting 13 (1994) 3, pp. 245-263
Persistent link: https://www.econbiz.de/10001157671
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Forecasting the different influencing factors of household food waste behavior in China under the COVID-19 pandemic
Shen, Xiangdong; Wang, Junbin; Wang, Li; Jiao, Chunlan - In: Journal of forecasting 42 (2023) 8, pp. 2322-2340
Persistent link: https://www.econbiz.de/10014432900
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A novel hybrid fine particulate matter (PM2.5) forecasting and its further application system : case studies in China
Du, Pei; Wang, Jianzhou; Yang, Wendong; Niu, Tong - In: Journal of forecasting 41 (2022) 1, pp. 64-85
Persistent link: https://www.econbiz.de/10012796269
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Forecasting oil futures realized range-based volatility with jumps, leverage effect, and regime switching : new evidence from MIDAS models
Lu, Xinjie; Ma, Feng; Wang, Jiqian; Liu, Jing - In: Journal of forecasting 41 (2022) 4, pp. 853-868
Persistent link: https://www.econbiz.de/10013287870
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Which factors drive Bitcoin volatility : macroeconomic, technical, or both?
Wang, Jiqian; Ma, Feng; Bouri, Elie; Guo, Yangli - In: Journal of forecasting 42 (2023) 4, pp. 970-988
Persistent link: https://www.econbiz.de/10014292892
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Electricity price forecasting using quantile regression averaging with nonconvex regularization
Jiang, He; Dong, Yao; Wang, Jianzhou - In: Journal of forecasting 43 (2024) 6, pp. 1859-1879
Persistent link: https://www.econbiz.de/10015110330
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Probabilistic electricity price forecasting based on penalized temporal fusion transformer
Jiang, He; Pan, Sheng; Dong, Yao; Wang, Jianzhou - In: Journal of forecasting 43 (2024) 5, pp. 1465-1491
Persistent link: https://www.econbiz.de/10015108399
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A novel hybrid forecasting model with feature selection and deep learning for wind speed research
Chen, Xuejun; Wang, Ying; Zhang, Haitao; Wang, Jianzhou - In: Journal of forecasting 43 (2024) 5, pp. 1682-1705
Persistent link: https://www.econbiz.de/10015108429
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Ensemble multitask prediction of air pollutants time series : based on variational inference, data projection, and generative adversarial network
Wang, Kang; Qu, Chao; Wang, Jianzhou; Li, Zhiwu; Lu, Haiyan - In: Journal of forecasting 44 (2025) 2, pp. 646-675
Persistent link: https://www.econbiz.de/10015374075