The Economics of Data in Financial Markets
Project Description

"The world's most valuable resource is no longer oil, but data" (The Economist, 2017). This data economy demands a new understanding of the implications of data proliferation and what this means for modern data policies (e.g., antitrust for data giants, personal data privacy). This project includes both qualitative and quantitative analysis.

Supervisor
XIONG Yan
Quota
5
Course type
UROP1100
Applicant's Roles

1. To collect articles/literature regarding data issues in financial markets;
2. To conduct basic empirical analysis;
3. To develop algorithms to systematically extract data from the web.

Applicant's Learning Objectives

1. Students will better understand the implications of big data and data technologies in financial markets and the related data policies.
2. Students will learn how to apply formal economic theories to tackle real finance problems.
3. Students will gain familiarity with real-life finance data and improve their data management skills and overall analytical skills.

Complexity of the project
Moderate