Xingxuan Zhuo

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Exploring Multisource High‐Dimensional Mixed‐Frequency Risks in the Stock Market: A Group Penalized Reverse Unrestricted Mixed Data Sampling Approach

Oct 9, 2024 | onlinelibrary.wiley.com | Xingxuan Zhuo |Management Fuzhou Fuzhou |Statistics Fuzhou Fuzhou |Shunfei Luo

Conflicts of Interest The authors declare no conflicts of interest. References , , , and . 2024. “Dissecting the Long-Term Performance of the Chinese Stock Market.” Journal of Finance 79: 993–1054. https://doi.org/10.1111/jofi.13312 , , , and . 2024. “Panel Data Nowcasting: The Case of Price–Earnings Ratios.” Journal of Applied Econometrics 39: 292–307. https://doi.org/10.1002/jae.3028 , , and . 2017.
Prediction of daily tourism volume based on maximum correlation minimum redundancy feature selection and long short‐term memory network

Sep 29, 2023 | onlinelibrary.wiley.com | Management Fuzhou Fuzhou |Feiya Lu |Xingxuan Zhuo

REFERENCES , , & (2020). An optimized model using LSTM network for demand forecasting. Computers & Industrial Engineering, 143, 106435. https://doi.org/10.1016/j.cie.2020.106435 , , & (2021). Tourism demand forecasting with time series imaging: A deep learning model. Annals of Tourism Research, 90, 103255. https://doi.org/10.1016/j.annals.2021.103255 , , & (2020). Daily tourism volume forecasting for tourist attractions. Annals of Tourism Research, 83, 102923.

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