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The benefit of modeling jumps in realized volatility for risk prediction : evidence from Chinese mainland stocks
Liao, Yin - In: Pacific-Basin finance journal 23 (2013), pp. 25-48
Persistent link: https://www.econbiz.de/10009737829
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Forecasting the variance of stock index returns using jumps and cojumps
Clements, Ada; Liao, Yin - In: International journal of forecasting 33 (2017) 3, pp. 729-742
Persistent link: https://www.econbiz.de/10011746201
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Forecasting stock index price using the CEEMDAN-LSTM model
Lin, Yu; Yan, Yan; Xu, Jiali; Liao, Ying; Ma, Feng - In: The North American journal of economics and finance : a … 57 (2021), pp. 1-14
Persistent link: https://www.econbiz.de/10012822188
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Modeling the cross-section of stock returns using sensible models in a model pool
Chiang, I-Hsuan Ethan; Liao, Yin; Zhou, Qing - In: Journal of empirical finance 60 (2021), pp. 56-73
Persistent link: https://www.econbiz.de/10012692977
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Harnessing jump component for crude oil volatility forecasting in the presence of extreme shocks
Ma, Feng; Liao, Yin; Zhang, Yaojie; Cao, Yang - In: Journal of empirical finance 52 (2019), pp. 40-55
Persistent link: https://www.econbiz.de/10012170621
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Forecasting global equity market volatilities
Zhang, Yaojie; Ma, Feng; Liao, Yin - In: International journal of forecasting 36 (2020) 4, pp. 1454-1475
Persistent link: https://www.econbiz.de/10012546804
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An oil futures volatility forecast perspective on the selection of high-frequency jump tests
Li, Xiafei; Liao, Yin; Lu, Xinjie; Ma, Feng - In: Energy economics 116 (2022), pp. 1-18
Persistent link: https://www.econbiz.de/10013542124