What is IFRS 9?

Sataporn Ungcharoenwong

29.01.2026

IFRS 9 is the International Financial Reporting Standard for financial instruments that replaced IAS 39 in 2018. This forward-looking standard requires financial institutions to calculate expected credit losses rather than waiting for actual losses to occur. Understanding IFRS 9 helps risk managers implement proactive credit risk management and maintain regulatory compliance in an increasingly complex financial environment.

What is IFRS 9 and why does it matter for financial institutions?

IFRS 9 is the International Financial Reporting Standard that governs how financial institutions account for financial instruments, particularly credit losses. It replaced the old IAS 39 standard and fundamentally changed how banks, credit unions, and other financial institutions approach credit risk management and financial reporting.

The standard matters because it shifts financial institutions from reactive to proactive risk management. Instead of recognising losses only when they actually occur, IFRS 9 requires you to anticipate and provision for potential losses based on expected credit loss models. This approach provides stakeholders with more transparent and timely information about an institution’s financial health.

For risk managers, IFRS 9 represents both a challenge and an opportunity:

Challenge: Implementing sophisticated models that can accurately predict future losses across different economic scenarios
Opportunity: Developing more robust risk management frameworks that help your institution make better lending decisions and maintain stronger capital positions
Global consistency: Enhancing comparability across financial institutions worldwide through standardised forward-looking approaches

This standardisation enables investors and regulators to better assess relative performance and risk profiles across different markets and institutions, creating a more transparent and stable financial ecosystem.

How does the IFRS 9 expected credit loss model actually work?

The IFRS 9 expected credit loss model operates through a three-stage approach that categorises financial instruments based on credit risk deterioration since initial recognition:

Stage 1: Performing loans with 12-month expected losses for financial instruments that haven’t experienced significant credit deterioration since origination
Stage 2: Underperforming loans requiring lifetime expected losses when credit risk increases significantly, though the loan isn’t yet impaired
Stage 3: Credit-impaired assets where lifetime expected losses are calculated using more individualised approaches for loans where default has likely occurred or is imminent

The forward-looking methodology requires you to incorporate reasonable and supportable forecasts about future economic conditions, meaning your models must consider how factors like unemployment rates, GDP growth, and interest rate changes might affect your portfolio’s credit performance over time.

What’s the difference between IFRS 9 and the old IAS 39 standard?

The fundamental differences between IFRS 9 and IAS 39 span timing, methodology, and risk management requirements:

Timing approach: IAS 39 used an incurred loss model recognising losses only after they occurred, while IFRS 9 anticipates potential losses before they materialise
Evidence requirements: IAS 39 waited for objective evidence of impairment, creating “too little, too late” provisioning that contributed to the 2008 financial crisis
Classification methodology: IAS 39 used complex rules-based categories, while IFRS 9 employs principles-based approaches focusing on business models and contractual cash flow characteristics
Data infrastructure demands: IFRS 9 requires sophisticated systems processing forward-looking scenarios and tracking portfolio-wide credit deterioration

These changes represent a complete philosophical shift from reactive loss recognition to proactive risk management, demanding more advanced modelling capabilities and real-time data processing across financial institutions.

How do you implement IFRS 9 without overwhelming your risk team?

Successful IFRS 9 implementation requires a strategic, phased approach that builds capabilities systematically:

Data foundation: Establish robust data governance frameworks ensuring consistent, high-quality information flows for historical data, current portfolios, and forward-looking economic indicators
Technology leverage: Consider cloud-based IFRS 9 platforms that handle computational demands of real-time credit loss calculations, replacing inadequate overnight batch processing systems
Cross-functional collaboration: Build teams combining risk management expertise with finance, IT, and data analytics capabilities since implementation touches multiple departments
Parallel testing: Implement dual-methodology periods calculating provisions under both old and new approaches to build team confidence and identify potential issues
Continuous improvement: Treat implementation as an ongoing process requiring regular model validation, back-testing, and refinement as experience grows

This structured approach transforms what could be an overwhelming regulatory burden into manageable phases that build organisational capability while maintaining operational stability throughout the transition.

IFRS 9 represents a fundamental shift towards forward-looking risk management that benefits both financial institutions and their stakeholders. While implementation requires significant effort and resources, the resulting improvements in risk visibility and management capabilities make the investment worthwhile. We help financial institutions navigate this transition with cloud-native solutions that transform complex regulatory requirements into manageable, real-time processes that support better decision-making and regulatory compliance.

If you’re interested in learning more, contact our experts today.

This content was generated with the help of AI and it may contain mistakes