PhD Seminar in Digital Finance
Advanced research-level seminar with paper discussions and quantitative analysis
12Lessons
4Themes
12Notebooks
12Reading Lists
Theme 1 Market Design & Infrastructure
| # | Title | Slides | Notebook | Readings |
|---|---|---|---|---|
| 1 | Platform Economics | Colab | List | |
| 2 | Microstructure | Colab | List | |
| 3 | Payment Systems | Colab | List |
Theme 2 Machine Learning & Prediction
| # | Title | Slides | Notebook | Readings |
|---|---|---|---|---|
| 4 | ML & Prediction | Colab | List | |
| 5 | Credit & Fairness | Colab | List | |
| 6 | Model Risk | Colab | List |
Theme 3 Distributed Ledger Technology
| # | Title | Slides | Notebook | Readings |
|---|---|---|---|---|
| 7 | Blockchain Consensus | Colab | List | |
| 8 | AMM & Lending | Colab | List | |
| 9 | Stablecoins | Colab | List |
Theme 4 Regulation & Society
| # | Title | Slides | Notebook | Readings |
|---|---|---|---|---|
| 10 | Regulation | Colab | List | |
| 11 | Financial Inclusion | Colab | List | |
| 12 | Frontiers | Colab | List |
Course Details
Target Audience
PhD students and advanced MSc students with strong quantitative background in finance or computer science.
Prerequisites
Quantitative finance fundamentals, programming proficiency (Python), statistics and econometrics.
Format
Seminar-style with paper discussions, student presentations, and critical analysis of current research.