Sang Hu

Publisher:严继臧Release time:2026-03-10Viewer:685

Name: Hu Sang

Title: Associate Professor

Research direction: Financial Technology, Behavioral Finance, Risk Management

Professor's Course:

E - mail: husang@sufe.edu.cn

Telephone:


Research Project

Number

Name

Resource

Time

Funds

1

Research on Asset Allocation, Timing, 

and Pricing Issues within the Framework of Behavioral Finance

National Natural Science Foundation of China General Project

2023.1-2026.12

724,000

2

Research on the Stopping Strategy of Gamblers Based on Prospect Theory

National Natural Science Foundation of China Youth Project

2020.1-2022.12

226,000

Research Field

Financial Engineering, Financial Mathematics

Educational Background

PhD from The Chinese University of Hong Kong

First Class Honours Bachelor's Degree from The Chinese University of Hong Kong

Work Experience

The Chinese University of Hong Kong (Shenzhen) School of Data Science

The Chinese University of Hong Kong (Shenzhen) Polytechnic

National University of Singapore Risk Management Institute



Research Achievements

X He, S Hu, and S Kou. (2025). Menuless and preference-free screening contracts for fund managers. Operations Research.


X He and S Hu. (2024). Never stop or never start? Optimal stopping under a mixture of CPT and EUT preferences. Journal of Economic Theory, 222, 105925.


S Hu, J Obloj, and X Zhou. (2023). A casino gambling model under cumulative prospect theory: Analysis and algorithm. Management Science, Vol. 69, No. 4, pp. 2474-2496.


X He, S Hu, J Obloj, and X Zhou. (2019). Two explicit Skorokhod embeddings on simple symmetric random walk. Stochastic Processes and their Applications, Vol. 129, No. 9, pp. 3431-3445.


X He, S Hu, J Obloj, and X Zhou. (2019). Optimal exit time from casino gambling: Strategies of precommitted and naïve gamblers. SIAM Journal on Control and Optimization, Vol. 57, No. 3, pp. 1845-1868.


X He, S Hu, J Obloj, and X Zhou. (2017). Randomized and path-dependent strategies in Barberis' casino gambling model. Operations Research, Vol. 65, No. 1, pp. 97-103.


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