Transitioning to IFRS 9: Challenges and Opportunities for the Nepalese Banking Sector

By Muzammal Rahim··Updated June 11, 2026
Transitioning to IFRS 9: Challenges and Opportunities for the Nepalese Banking Sector

The transition to International Financial Reporting Standard 9 (IFRS 9) represents a major shift for the Nepalese banking sector, moving from the traditional “incurred loss” model to a forward-looking “Expected Credit Loss” (ECL) framework. As the Nepal Rastra Bank (NRB) continues to strengthen its prudential norms and risk-based supervision, understanding the implications of IFRS 9 is vital for ensuring the future stability and transparency of the nation’s financial institutions (Bank Supervision Report, 2024).

The Paradigm Shift: From Incurred to Expected

Under the previous International Accounting Standard (IAS 39), banks recognized credit losses only after they were “incurred.” This reactive approach often led to the “too little, too late” problem, where banks failed to adequately account for risks until they had already materialized (Awad, 2026; Flores, 2026).

IFRS 9 replaces this with an Expected Credit Loss (ECL) model. This framework requires banks to estimate potential credit losses based on:

  • Past events and historical data.
  • Current conditions in the market.
  • Reasonable forecasts of future macroeconomic variables (MEVs).

Assets are classified into three “stages” based on their credit quality, with Stage 1 requiring 12-month ECLs and Stages 2 and 3 requiring lifetime ECLs for assets showing a significant increase in credit risk (Flores, 2026).

Key Implementation Challenges

For a developing economy like Nepal, the transition to IFRS 9 is fraught with significant structural and technical hurdles (Awad, 2026).

Data Scarcity and Quality:

Accurate ECL modeling relies on granular, long-term historical data. Many Nepalese banks face gaps in high-quality data, making the calibration of Probability of Default (PD) and Loss Given Default (LGD) models challenging.

Technical Expertise Shortages: 

The shift requires advanced statistical and risk-modeling capabilities. There is a notable shortage of human capital in Nepal with the specialized skills needed to manage these complex, data-intensive models.

Subjectivity and Management Discretion:

Because IFRS 9 is a principles-based standard, it grants significant leeway for management judgment. There is a risk that this flexibility could be used to mask underlying model deficiencies or to “smooth” earnings, which undermines financial comparability (Awad, 2026; Flores, 2026).

IT Infrastructure Constraints: 

Many legacy banking systems in Nepal are not designed to track assets across the three stages of ECL or to integrate the required forward-looking macroeconomic data.

Strategic Opportunities

Despite the complexity, IFRS 9 offers a pathway to a more resilient and modern banking sector.

Proactive Risk Management:

By forcing banks to build reserves earlier, the ECL model acts as a cushion. This promotes a “forward-looking” culture that can protect banks during economic downturns (Awad, 2026).

Enhanced Transparency:

Aligned with international standards, IFRS 9 disclosures provide investors and regulators with a more realistic view of a bank’s credit health. This can strengthen investor confidence and facilitate deeper integration with international capital markets.

Systemic Modernization: 

The demand for high-quality data and better modeling will inevitably push Nepalese banks to modernize their core IT infrastructure and data governance frameworks, leading to long-term operational efficiency.

Conclusion

The transition to IFRS 9 is not merely an accounting exercise; it is a fundamental pillar of modern financial stability. For Nepal, success lies in a balanced, phased implementation. The Nepal Rastra Bank plays a crucial role in providing guidance, ensuring that the transition is proportional to the size and complexity of each institution. By focusing on building domestic modeling expertise and standardizing the use of macroeconomic variables, Nepalese banks can mitigate the risks of “opportunistic judgment” and emerge as more transparent, robust institutions capable of navigating the dynamic challenges of the global financial ecosystem.

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Published by

Muzammal Rahim

FineIT Private Limited — IASB quantitative advisor, BCBS member institution (est. 2001)

This article is published by FineIT Private Limited (est. 2001), a quantitative advisor to the International Accounting Standards Board (IASB) on Predictive Analytics and a member institution of the Basel Committee on Banking Supervision (BCBS). FineIT provides audit-ready IFRS 9, IFRS 16, IFRS 17, and Basel III/IV compliance software to 150+ financial institutions across 40+ countries.

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