教育背景：

2015-2021德克萨斯农工大学博士

2013-2015德克萨斯农工大学硕士

2009-2013西南财经大学学士

工作经历：

2021-浙江工商大学国际商学院助理教授

2020-2021德克萨斯农工大学Graduate Instructor（独立教学）

研究领域：

虚拟货币市场分析、金融时间序列预测、风险管理、能源经济

所授课程：

金融时间序列分析、金融市场与衍生品、微观经济学

1. Ze Shen, Qing Wan, David J. Leatham, Bitcoin Return Volatility Forecasting: A Comparative Study of GARCH Model and Machine Learning Model, Agricultural & Applied Economics Association Annual Meeting 2019, Atlanta, Session Moderator & Presenter

2. Ze Shen, David J. Leatham, How Cryptocurrencies Prices Affect Each Other, Southern Agricultural Economic Association Annual Meeting 2019, Birmingham, Presenter

在研论文：

1. Tail Risk of Coal Futures in China

2. Multivariate Density Forecasts in Commodity Futures Market

3. On the Factors of Bitcoin Tail Risk: a LASSO Approach

4. Estimation of Tail Risk Measures in Cryptocurrency Market

5. Pension System Reform and Labor Supply