For Students & Researchers
Resources
My CV, plus the data sources and tools I actually use and recommend to students getting started in empirical finance and economics.
Curriculum Vitae
Full academic CV: education, research, teaching, and professional experience.
Data Sources I Use
Financial & Banking Data
- WRDS: CRSP, Compustat, IBES, TRACE, DealScan
- FFIEC: U.S. bank call reports & regulatory filings
- SEC EDGAR: corporate filings, full-text search
- FRED: macro & financial time series
- FDIC BankFind: bank financials & failures
Economics & Development Data
- World Bank Open Data
- IMF Data
- CEPII: gravity & trade databases
- GTAP: global trade analysis
- U.S. Census Bureau
Learning & Tools
Coding for Research
- QuantEcon: quantitative economics in Python & Julia
- Tidy Finance: empirical finance in R & Python
- scikit-learn · PyTorch · XGBoost
- statsmodels: econometrics in Python
Research & Writing
- SSRN: working papers in finance & economics
- NBER Working Papers
- arXiv q-fin: quantitative finance preprints
- Overleaf: collaborative LaTeX
For My Students
Course materials, syllabi, and problem sets are distributed through Canvas. If you are a current student, use the course Canvas page first; for anything else, including recommendation letters, research assistance opportunities, or questions about graduate school in finance and economics, get in touch.