Financial Statement Analysis using Machine Learning/AI
Project Description
This project explores the use of state-of-the-art machine learning and AI algorithms to analyze financial statements for earnings forecasting and equity valuations.
Supervisor
CHO, Tony
Quota
1
Course type
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles
In this project, students will:
1) Conduct a literature review on fundamental analysis and the application of machine learning and AI algorithms.
2) Explore ways to effectively leverage various techniques to address key research questions.
3) Develop a working algorithm that makes a meaningful contribution to the academic literature.
Proficiency in Python is required.
1) Conduct a literature review on fundamental analysis and the application of machine learning and AI algorithms.
2) Explore ways to effectively leverage various techniques to address key research questions.
3) Develop a working algorithm that makes a meaningful contribution to the academic literature.
Proficiency in Python is required.
Applicant's Learning Objectives
1) Understand the current state of literature on fundamental analysis and various algorithms.
2) Familiarize with best practices for working with financial data.
3) Learn best practices for developing functional algorithms.
2) Familiarize with best practices for working with financial data.
3) Learn best practices for developing functional algorithms.
Complexity of the project
Challenging