Prof. Xue-Zhong (Tony) He
Xi'an Jiaotong-Liverpool University, China
Email: Xuezhong.He@xjtlu.edu.cn
Qualifications
2001 Ph.D., University of Technology, Australia
1995 Ph.D., Flinders University, Australia
1987 M.Sc., Hebei Normal University, China
1982 B.Sc., Ningxia University, China
Publications (Selected)
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He, X. Z. T., Shi, L., & Tolotti, M. (2025). The social value of information uncertainty. Journal of Economic Behavior & Organization, 229, 106840.
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Foster, F. D., He, X., Kang, J., & Lin, S. (2024). The microstructure of endogenous liquidity provision. Available at SSRN 3482259.
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Menkveld, A. J., Dreber, A., Holzmeister, F., Huber, J., Johannesson, M., He, X., ... & Khomyn, M. K. (2024). Nonstandard errors. The Journal of Finance, 79(3), 2339-2390.
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Aliyev, N., & He, X. Z. (2023). Toward a general model of financial markets. In Artificial Intelligence, Learning and Computation in Economics and Finance (pp. 71-100). Cham: Springer International Publishing.
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Aliyev, N., & He, X. Z. (2023). Toward a general model of financial markets. In Artificial Intelligence, Learning and Computation in Economics and Finance (pp. 71-100). Cham: Springer International Publishing.
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Arifovic, J., He, X. Z., & Wei, L. (2022). Machine learning and speed in high-frequency trading. Journal of economic dynamics and control, 139, 104438.
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Chu, L., He, X. Z., Li, K., & Tu, J. (2022). Investor sentiment and paradigm shifts in equity return forecasting. Management Science, 68(6), 4301-4325.
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Dieci, R., & He, X. Z. (2021). Cross-section instability in financial markets: impatience, extrapolation, and switching. Decisions in Economics and Finance, 44(2), 727-754.
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Arifovic, J., He, X., & Wei, L. (2019). High Frequency Trading in FinTech age: AI with Speed. Available at SSRN 2771153.
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Vo, N. N., He, X., Liu, S., & Xu, G. (2019). Deep learning for decision making and the optimization of socially responsible investments and portfolio. Decision Support Systems, 124, 113097.
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He, X. Z., Li, Y., & Zheng, M. (2019). Heterogeneous agent models in financial markets: A nonlinear dynamics approach. International Review of Financial Analysis, 62, 135-149.
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He, X. Z., Li, K., & Li, Y. (2018). Asset allocation with time series momentum and reversal. Journal of Economic Dynamics and Control, 91, 441-457.
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He, X. Z., Li, K., & Wang, C. (2018). Time-varying economic dominance in financial markets: A bistable dynamics approach. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(5).
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Vo, N. N., Liu, S., He, X., & Xu, G. (2018). Multimodal mixture density boosting network for personality mining. In Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I 22 (pp. 644-655). Springer International Publishing.
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He, X. Z., & Li, Y. (2017). The adaptiveness in stock markets: testing the stylized facts in the DAX 30. Journal of Evolutionary Economics, 27(5), 1071-1094.
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Wei, L., Xiong, X., Zhang, W., He, X. Z., & Zhang, Y. (2017). The effect of genetic algorithm learning with a classifier system in limit order markets. Engineering Applications of Artificial Intelligence, 65, 436-448.
Profile Details
WoS ResearcherID: FXB-3816-2022
https://orcid.org/0000-0003-1446-9996
https://scholar.xjtlu.edu.cn/en/persons/XuezhongHe
https://scholar.google.com.hk/citations?user=JRCIBDMAAAAJ&hl=zh-CN&oi=sra