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 — recommendation letters, research assistance opportunities, or questions about graduate school in finance and economics — get in touch.