Mentored Research ProjectsRepresentative program

Data-Driven Finance: Research in Markets, Firms, and Investments

Investigate financial questions using empirical design, Stata, financial datasets, and a structured research project.

Overview

This research-focused program connects questions in financial markets and firm behavior with data collection, cleaning, and econometric analysis. Topics may include corporate finance, asset pricing, investor behavior, or emerging financial technologies. Learners develop an empirical argument and interpret results without presenting analysis as investment advice.

Learning goals and possible work

Proposed learning outcomes for this program example:

  • Formulate a feasible financial research question and empirical strategy.
  • Prepare data and conduct a documented statistical analysis.
  • Discuss findings, competing explanations, and limitations in a report.

Illustrative learning sequence

The sequence below illustrates how this program’s content can be organized. Topics, pacing, and project depth are adapted for each offering. This is not an archived record of a specific cohort’s weekly syllabus.

  1. 01Financial research questions: markets, firms, and investors
  2. 02Literature review, hypotheses, and empirical design
  3. 03Financial data sources, definitions, and access
  4. 04Data cleaning and descriptive analysis in Stata
  5. 05Regression and introductory econometric reasoning
  6. 06Choosing a bounded empirical strategy for the project
  7. 07Estimating models and interpreting results
  8. 08Robustness checks and alternative explanations
  9. 09Research writing, tables, and visual communication
  10. 10Project presentation and a plan for further research
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