Counterparty exposure and collateral risk analytics covering eligibility assessment, haircut application, collateral sufficiency, concentration monitoring, and stress testing.
-
Updated
Jun 9, 2026 - Python
Counterparty exposure and collateral risk analytics covering eligibility assessment, haircut application, collateral sufficiency, concentration monitoring, and stress testing.
A quantitative risk‑modelling toolkit for Lombard lending, providing volatility models, liquidity and concentration adjustments, stress utilities, and a unified haircut/LTV evaluation pipeline.
Portfolio monitoring on real SBA 7(a) commercial-loan data — industry and state concentration (HHI, top-N), charge-off rates, vintage cohort curves, loan-age transitions, and early-warning watchlists.
Turns public ABS / RBA / PTRS data into industry risk scores, downturn / stress overlays, and macro-regime flags for commercial credit — sector-risk and concentration support tables for portfolio review. Real public data only.
Add a description, image, and links to the concentration-risk topic page so that developers can more easily learn about it.
To associate your repository with the concentration-risk topic, visit your repo's landing page and select "manage topics."