ifrs9-ecl

Calculates forward-looking expected credit losses for loan portfolios using PD, LGD, EAD, and macroeconomic scenarios.

28|19|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/panaversity/agentfactory-business-plugins --skill ifrs9-ecl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ifrs9-ecl
Source: https://github.com/panaversity/agentfactory-business-plugins/tree/main/banking/skills/ifrs9-ecl
Command: npx skills add https://github.com/panaversity/agentfactory-business-plugins --skill ifrs9-ecl

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

IFRS 9 requires forward-looking, probability-weighted impairment provisioning. This Skill provides a structured approach to calculate expected credit losses (ECL) for loan portfolios using PD, LGD, EAD, and macroeconomic scenarios, aligning with IFRS 9 requirements and IFRS 7 disclosures.

Core Features & Use Cases

  • Stage-based impairment calculations including 12-month and lifetime ECL.
  • Probability-weighted scenario generation with macroeconomic inputs and PMA considerations.
  • IFRS 7 disclosures preparation and provision movement tracking for regulatory reporting.
  • Real-world use: banks processing retail, SME, and corporate loan portfolios to produce compliant ECL results and audit-ready documentation.

Quick Start

Configure an IFRS 9 ECL model for a loan portfolio and generate a disclosure-ready calculation summary.

Frequently Asked Questions about ifrs9-ecl

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate expected credit loss under IFRS 9 using PD, LGD, and EAD?

Expected credit loss under IFRS 9 is calculated by combining Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) with forward-looking macroeconomic scenarios to produce probability-weighted impairment provisions.

What is the difference between 12-month and lifetime ECL for loan portfolios?

12-month ECL covers expected credit losses from default events occurring within the first year, while lifetime ECL discounts expected losses over the remaining loan duration, triggered by significant credit deterioration requiring stage migration.

Can I use this for IFRS 7 disclosure preparation and provision movement tracking?

Yes, this approach supports IFRS 7 disclosures by generating comprehensive provision movement tables and stage migration tracking for regulatory reporting across retail, SME, and corporate portfolios.

How do macroeconomic scenarios affect probability-weighted ECL modeling?

Macroeconomic scenarios affect ECL modeling by applying probability weights to multiple forward-looking economic forecasts, incorporating Post Models Adjustments (PMA) to align expected credit loss outputs with current economic conditions.

Does IFRS 9 ECL provisioning work for retail, SME, and corporate loan portfolios?

IFRS 9 ECL provisioning applies to retail, SME, and corporate loan portfolios, calculating forward-looking expected credit losses using portfolio-specific PD, LGD, and EAD estimations to produce compliant impairment results.

What's the best way to handle stage migrations and discounting for lifetime ECL?

Handling stage migrations and lifetime ECL discounting requires applying time-value adjustments to future expected credit losses and tracking significant increases in credit risk to transition accounts between Stage 1, 2, and 3.