Assistant professor |School of Business, Department of Finance
Ti Zhou received his PhD in finance from Hong Kong University of Science and Technology (HKUST). He obtained a master degree in Applied Math and Statistics from State University of New York at Stony Brook and a Bachelor degree in Mathematics from Sun Yat-sen University. His current research interests include asset pricing, option implied information, portfolio choice, and big data analysis.
Personal Profile
Research interests
Asset pricing, Option-implied information, Fintech
Education
2011-2016 Hong Kong University of Science and Technology, PhD in Finance
2007-2009 State University of New York, Stony Brook, Master in Applied Math and Statistics
2003-2007 Sun Yat-sen University, Bachelor in Mathematics
Working experience
2016.8- Assistant professor, Department of Finance, SUSTech
2009.9-2011.8 Shanghai Guotai Junan Asset Management, Quantitative Investment Group, Research Association,
2009.6-2009.8 Citi group, GTS, Summer Intern
Teaching
Empirical Methods for Finance(UG/PG)
Quantitative Investment Analysis(UG/PG)
Financial Derivatives(UG)
Team members
Research Assistant:Chen Yu, Jian Zhang
PhD student: Yunqi Wang
Research
Asset pricing, Option-implied information, Portfolio choice, Big data and machine learning in finance
Teaching
Financial Derivatives(UG), Quantitative Investment Analysis(UG/PG), Empirical Methods in Finance(UG), Financial Econometrics(PG)
Publications Read More
Publications:
1. Out-of-Sample Equity Premium Prediction: The Role Option-Implied Constraints (with Yunqi Wang), Journal of Empirical Finance, Vol.70, pp. 199-226,
2. Higher-order Moment Risk and Stock Market Returns: Evidence from the China’s Options Market (with Yunqi Wang), Journal of Management Sciences in China, DOI:10.19920/j.cnki.jmsc.2024.05.007
3. Macroeconomic Expectations and Expected Returns (with Yizhe Deng and Yunqi Wang), Journal of Financial and Quantitative Analysis, DOI:10.1017/S0022109024000279
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Working papers:
1. International Stock Return Predictability: The Role of U.S. Volatility Risk (with Yizhe Deng, Fuwei Jiang and Yuqi Wang), Under revision
presented: 2021第三届双法研究会量化金融分会, 第四届厦门大学金融工程与量化金融论坛, 2022中国青年衍生品论坛(西交利物浦), IRMC 2022,2022中国金融学年会, FMCG2023, CIRF2023, 第二十届金融系统工程与风险管理国际年会, Five-star workshop 2023
2. Optimal Portfolio Choice under Parameter Uncertainty and Return Predictability (with Yunqi Wang), Under revision
presented: SUSTech Financial Engineering Workshop 2021, 6th PKU-NUS Annual International Conference on Quantitative Finance and Economics
3. On the Optimal Combination of Portfolio Strategies (with Yifan Ye), Under revision
presented: 2022第四届双法研究会量化金融分会, 中国运筹学会金融工程与金融风险管理分会第十一届学术年会, 7th PKU-NUS Annual International Conference on Quantitative Finance and Economics
4. There is No Place to Hide: Tail Risk Connectedness among Equity Anomalies (with Di Zhang), Under revision
presented: 2023第五届双法研究会量化金融分会, 第二十届金融系统工程与风险管理国际年会,
5. Approaching the Mean-variance Efficiency in a High Dimension: Exploiting High-dimensional Characteristics in the Equity Cross-Section (with Luo Bin), Working paper
presented: 2023第五届双法研究会量化金融分会, 第二十届金融系统工程与风险管理国际年会, 第七届中国金融科技学年会, 第六届大数据、人工智能与金融科技会议, 第六届中国计量经济学者论坛
6. A multi-asset allocation study based on a time-varying hidden Markov Regime-Switching model (with Jiaqi Hu, Zhongfei Li), Submitted
presented: 第一届中国金融学科年会
7. The Economic Value of Conditioning Information in Portfolio Choice: An Out-of-Sample Analysis (with Qiqian Li and Yifan Ye), Submitted
8. Term Structure of Recession Probabilities and the Cross-Section of Asset Returns, Working paper
presented: AFA 2018, EFA 2017, FMA Asia 2017, AFBC 2016, 1st Greater China Area Finance Conference
9. Forward-Looking Tail Risk Measures (with Markus Huggenberger and Chu Zhang), Working paper
presented: Asian Quantitative Finance Conference 2018, CICF 2018, SoFiE 2018, DGF 2017, IFABS 2017 Oxford, SoFiE 2017 Summer School
10. The Peso Problem: Evidence from the S&P 500 Options Market (with Chu Zhang), Working paper
presented: SoFiE 2017 Summer School, AFBC 2015 (Best paper of PhD Forum, 3rd Prize), CICF 2015
Join us
a master degree in finance or related fields, such as financial mathematics, economics, or statistics;
proficient user of at least one piece of data analysis software, like SAS/MATLAB/R/Stata/Python.
strong interests in academic research
Send you CV and academic papers (if available) to zhout@sustech.edu.cn. If you are short-listed, we will contact you.