irrbb

Auditable CRR III RWA, capital, IRRBB and ICAAP Python reference library

A modular Python engine for banking book ALM, integrating IRRBB, liquidity risk (LCR/NSFR), stress testing, and treasury management actions.

Python implementation of the BCBS 368 IRRBB standardised framework — EVE & NII sensitivity across 6 prescribed shock scenarios, 19 repricing buckets, full cash flow discounting, Streamlit dashboard.

Interest Sensitivity (IS) Gap–based IRRBB model to analyze Net Interest Income (NII) impact under upward and downward interest rate shocks, implemented in Python with FRM-aligned methodology.

Utiliser les taux d'intérêt canadiens pour prévoir les taux futurs et les récessions, puis mesurer ce qu'une hausse coûte à une banque fictive.

Python implementation of a leverage-adjusted Duration Gap model to estimate Economic Value of Equity (EVE) sensitivity under interest rate shocks, aligned with FRM and IRRBB methodology.

Yield curve bootstrap and rates pricing on real market data. USD curve bootstrapped from US Treasury CMT par yields (home.treasury.gov), EUR curve ingested from ECB AAA-govt zeros (Svensson model). Bond/swap pricing, IRRBB scenarios, 22 invariant tests. Reproducible in one command.

EU banking regulatory risk frameworks implemented in Python: IRRBB, FRTB, CSRBB, credit risk IRB, and liquidity risk (LCR, NSFR, stress testing, ILAAP).