How do I use this IFRS 9 template for credit risk modeling?

You can use this template as a project roadmap. Start by defining your 'Source Data' and 'Default Definition', then select the appropriate modeling approach—such as 'Generalized Linear Models (GLM)' or 'Machine Learning (ML) Modeling'—based on your portfolio's complexity and data availability.

Is this IFRS 9 cheat sheet suitable for low default portfolios?

Yes, the template explicitly includes nodes for 'Low Portfolio Modeling', 'Market Based Modeling', and 'Scarce Data Modeling', providing guidance for scenarios where historical default data is limited or unavailable.

Can I customize the validation steps in Xmind?

Absolutely. You can expand the 'ML Model Validation' or 'Survival Model Validation' branches to include your specific internal audit requirements, back-testing results, or sensitivity analysis parameters directly within the Xmind interface.

MindMap_IFRS_9

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Use cases

Law notes

About

The IFRS 9 mind map template is a technical framework designed for risk managers and financial analysts to navigate the complexities of International Financial Reporting Standard 9. This 55-node cheat sheet provides a comprehensive breakdown of Expected Credit Loss (ECL) components, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD). It specifically addresses advanced quantitative methodologies such as 'Transition Matrix Modelling', 'Survival Modelling', and 'Machine Learning (ML) Modeling' for credit risk assessment. By mapping out the 'Default Definition and Data Preparation' phase alongside specific validation techniques like 'Lifetime GLM Validation', this Xmind template serves as a robust blueprint for building and auditing regulatory-compliant financial models. It covers the entire lifecycle from 'Source Data' acquisition to 'ML Model Calibration', ensuring that all technical requirements for impairment accounting are met.

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Terms and Conditions

When to use this template

Risk Quant Analysts and Credit Risk Managers

Developing or updating Expected Credit Loss (ECL) models for regulatory compliance

Internal and External Auditors

Auditing financial instrument impairment processes and model documentation

Data Engineers and Financial Systems Architects

Designing data architecture for credit risk reporting systems

How to use this template

Step 1

Import the IFRS 9 file

Open the .xmind file in Xmind desktop or web app to view the full ECL modeling hierarchy.

Step 2

Select your modeling approach

Navigate to the 'PD' or 'LGD' branches and highlight the specific methods like 'GLM' or 'Survival Modelling' relevant to your portfolio.

Step 3

Map your data sources

Replace the generic 'Source Data' and 'LGD Database Elements' nodes with your specific internal database table names and variables.

Frequently asked questions

This template includes a structured breakdown of the three pillars of IFRS 9: classification, measurement, and impairment. It specifically focuses on the technical modeling aspects of Expected Credit Loss (ECL), covering 'PD', 'LGD', and 'EAD' components, as well as data preparation and model validation frameworks.

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