Forecasting New Energy Market Volatility under Extreme Uncertainty: A Machine Learning Approach with Heterogeneous Information Sources (with Shaohao Fang and Yudong Wang, Current version: August, 2026)
Climate Attention Risk Aligned: An Informative Predictor for Global Stock Market Volatility (with Lingjun Liu and Yuhan Zhang, Current version: August, 2026)
Forecasting Agricultural Commodity Futures Volatility: Physical or Transition Climate Risk? (with Yuhan Zhang and Lingjun Liu, Current version: August, 2026)
Difference Between Equal-Weighted and Value-Weighted Market Returns: A New Predictor for Realized Volatility (with Yiduo Tian, Current version: July, 2026)
Forecasting Stock Market Risk with Climate Attention: Individual or News-Based Attention? (with Xiaodan Li, Current version: May, 2026)
Dynamic Correlations and Drivers of Cross-Border Risk: Evidence from China’s Southbound and Northbound Capital Flows and Bond Markets (with Futing Ge, Pei Huang, and Minrui Hu, Current version: August, 2025)
A novel image-generation based hybrid model for IPO mispricing prediction (with Xuan Ouyang, Weiguo Zhang and Yuan Zhao, Current version: December, 2024)
Climate information and oil price volatility forecasting: Evidence from machine learning (with Jiahao Peng, Yuan Zhao and Minna Zhou, Current version: December, 2024)
Forecasting foreign exchange volatility in times of uncertainty (with Jiahao Peng, Xiaodan Li and Lu Xing. Current version: August, 2024)
Forecasting gold futures volatility with a large set of behavioral factors based on a novel combination approach (with Aoran Hong, and Yudong Wang. Current version: November, 2022)
The theoretical evolution and measurement method of investor sentiment——Progress and prospects (with Yuanwei Ni, Weiguo Zhang, and Weijun Xu. Current version: August, 2021)
In Chinese, 《投资者情绪的理论演化及度量方法——现状与展望》
Appendix: Appendix_file
Predicting stock market volatility with a large set of predictors: Contrastive evidence from China and the US (with Weiguo Zhang, Chao Wang and Weijun Xu. Current version: November, 2020)
In Chinese, 《考虑大规模因子的股市波动率预测研究—基于中美对比分析》