Green finance and sustainable investments
Project Description
The study would involve analysing financial data and performance metrics of companies or investment portfolios that prioritize environmental, social, and governance (ESG) factors in their investment decisions. This is a joint project with researchers from Harvard University.
Supervisor
ZHOU, Zoey Yiyuan
Quota
2
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles
The applicant will help organize large datasets and run preliminary statistical analyses on the cleaned-up data.
Baseline programming skills (e.g., Stata, R, Python, or SAS) are a plus.
Baseline programming skills (e.g., Stata, R, Python, or SAS) are a plus.
Applicant's Learning Objectives
Enhance their understanding of green and sustainable finance: The applicant aims to deepen their knowledge and comprehension of the principles, concepts, and practices related to green and sustainable finance, including the integration of environmental, social, and governance (ESG) factors into financial decision-making processes.
Acquire new skills in empirical corporate finance analysis: The applicant seeks to develop skills in conducting empirical analysis related to corporate finance, specifically focusing on studying the relationship between financial decisions and sustainability outcomes. This may involve analysing large datasets, applying econometric techniques, and interpreting empirical results.
Acquire new skills in empirical corporate finance analysis: The applicant seeks to develop skills in conducting empirical analysis related to corporate finance, specifically focusing on studying the relationship between financial decisions and sustainability outcomes. This may involve analysing large datasets, applying econometric techniques, and interpreting empirical results.
Complexity of the project
Moderate