Hong Kong IPO Market
Project Description
This project pertains to the Hong Kong IPO market and generates comprehensive insights of latest IPO market sentiment by tacking 4 major factors including Fundamentals, Technical, Market and Psychological aspects. It aims to provide a general picture of the overall Hong Kong IPO market, while focusing on various sectors during different periods.
Supervisor
ZHANG, Chu
Quota
6
Course type
UROP1100
UROP2100
Applicant's Roles
Each applicant will (1) collect data related to Hong Kong IPO market from Bloomberg, Factiva, and Google Trend, guided by the supervisor, (2) read important published research papers on IPO related issues and obtain insights during this processes, (3) analyze data and discover important patterns, (4) write a short report on the research results.
Applicant's Learning Objectives
1. Learn and practice data processing techniques and statistical methods using Python or Stata.
2. Understand the relationship between IPO sentiment and various financial variables
3. Get basic research experience on financial markets and skills necessary for future career development.
2. Understand the relationship between IPO sentiment and various financial variables
3. Get basic research experience on financial markets and skills necessary for future career development.
Complexity of the project
Moderate