R-codebase for a scientific research article, titled "Approaches for modelling the term-structure of default risk under IFRS 9: A tutorial using discrete-time survival analysis"
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Updated
Feb 18, 2026 - R
R-codebase for a scientific research article, titled "Approaches for modelling the term-structure of default risk under IFRS 9: A tutorial using discrete-time survival analysis"
This model estimates the 12-month Probability of Default (PD) for prime residential mortgage customers in the United Kingdom, aligned with the IFRS 9 impairment framework and calibrated to an adverse macroeconomic scenario. Version 1 (v1) is developed using gradient-boosted decision trees (GBDT)
Automated IFRS 9 ECL calculation system with Python, BigQuery, and SQL analytics
IFRS 9 SICR model Mortgages
Autonomous AI agent for IFRS 9 credit risk analysis using Google Gemini and BigQuery
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