Reproducible Python research on liquidity, risk, and capital-market development in Rwanda.
# Rwanda Capital Market Lab
Open, reproducible financial-engineering research for a deeper, safer, and more inclusive Rwandan capital market.
## Featured research output
📄 **Read the first RSE Baseline Market Brief**
A decision-focused analysis of trading activity, zero-volume securities, and turnover concentration in the initial illustrative RSE snapshot.
## Decision question
Which measurable constraints—liquidity, turnover, concentration, volatility, investor participation, issuer supply, market infrastructure, or information quality—most limit the Rwanda Stock Exchange's contribution to long-term financing and economic development?
## Why this matters
Capital markets can complement bank financing by mobilizing long-term savings, supporting corporate and public-sector issuance, distributing risk, and improving price discovery. This project will test those channels rather than assume that a larger exchange automatically produces growth.
## Initial analytical framework
```mermaid
flowchart TD
A[Validated market and macro data] --> B[Market diagnostics]
B --> C[Econometric and risk models]
B --> D[Portfolio and investor analysis]
C --> E[Policy scenarios]
D --> E
E --> F[Technical report and leadership brief]
```
## Baseline indicators
- Trading activity: value and volume traded, active-security ratio, zero-trade ratio, turnover velocity.
- Liquidity: Amihud illiquidity, bid-ask spread when quotes exist, price-impact proxies, zero-return measures.
- Market structure: market-cap concentration, turnover concentration, domestic/cross-listed composition.
- Risk: volatility, downside risk, VaR/Expected Shortfall, drawdown, regime and stress behavior.
- Development: market capitalization and turnover relative to GDP, capital raised, listings, investor base, bond-market depth.
- Integrity: missingness, stale prices, outliers, revisions, survivorship bias, and source provenance.
## What the first snapshot says
The included CSV is a user-supplied illustration …