Unpacking IFRS 17: The Premium Allocation Approach (PAA) and its Challenges

A New Era of Insurance Reporting

IFRS 17, effective from 1 January 2023, has redefined how insurance contracts are measured and reported globally. Replacing IFRS 4, this new standard aims to increase transparency, consistency, and comparability in financial statements by applying a uniform approach to insurance contract valuation. Among its key features is the Premium Allocation Approach (PAA) — a simplified method of calculating liabilities, targeted primarily at short-duration contracts.

While the PAA promises operational relief compared to the General Measurement Model (GMM), its implementation reveals a landscape more complex than initially expected. This article dissects the structure, advantages, and real-world difficulties of the PAA, highlighting three critical areas: eligibility, onerous contracts, and discounting requirements.

What is the Premium Allocation Approach (PAA)?

The PAA is designed to reduce the administrative burden of applying the full GMM, offering a cost-effective and pragmatic alternative for contracts of shorter duration — generally less than 12 months — or those whose measurement under the PAA closely approximates that under the GMM.

Benefits of the PAA

• Simplified liability calculations.

• No need to estimate future claims or calculate the Contractual Service Margin (CSM).

• Lower operational and system requirements, reducing costs.

• More intuitive recognition of premium income over the coverage period.

However, beneath these simplifications lies a framework that still demands granular data, sophisticated judgments, and robust audit trails.

Key Challenge 1: PAA Eligibility – Simpler Said than Proven

Although contracts with coverage periods not exceeding 12 months automatically qualify for the PAA, longer-term contracts may only be eligible if their Liability for Remaining Coverage (LRC) is similar under both the PAA and GMM.

Practical Barriers to Eligibility:

• Insurers often must run both models to demonstrate similarity in outcomes — countering the simplicity promise.

• The “passage of time” method in PAA differs significantly from the coverage unit approach in GMM, especially when the pattern of service delivery varies over time.

• Discounting assumptions, expected cash flow patterns, and product structures influence the LRC, creating divergence between models.

System and Process Implications:

• Existing systems designed under IFRS 4 may rely on premium receivables, whereas IFRS 17’s PAA focuses on cash received — requiring system overhauls.

• The requirement for increased data granularity (e.g., transaction-level LRC data) may demand new technology and data management tools.

• Audit readiness becomes more complex when eligibility assessments and assumptions are subjective or evolve with changes in the insurer’s product mix or duration.

Key Challenge 2: Identifying Onerous Contracts Under PAA

IFRS 17 requires insurers to immediately recognize losses for onerous contracts — those expected to generate losses over their lifetime. Under GMM, this determination is more formulaic, tied to a comparison of expected cash inflows and outflows including the CSM. In contrast, the PAA is less prescriptive.

Ambiguities and Audit Complexity:

• IFRS 17 allows the assumption that contracts are not onerous unless “facts and circumstances” suggest otherwise — a concept not explicitly defined.

• This leaves insurers reliant on judgment-based triggers, such as:

  • Modified combined ratios (adjusted for discounting and risk adjustment),

  • Pricing data and expected profitability,

  • Business plan forecasts.

Audit Risk and Data Exposure:

• Reliance on internal pricing or forecasting models introduces subjectivity and increases auditor scrutiny.

• Metrics that were non-financial or management-based (e.g., combined ratios, loss trends) must now be integrated into financial reporting and audit processes.

Key Challenge 3: Discounting and the Elusive “Simplification”

Discounting, although typically immaterial for short-term contracts, becomes necessary under the PAA in several cases:

• Expected cash flows beyond 12 months (e.g., large loss claims),

• Onerous contracts,

• When a significant financing component is present.

Complexity in Discount Rate Determination:

• IFRS 17 permits two approaches:

  • Top-down approach (adjusting observable market yields),

  • Bottom-up approach (risk-free rates plus illiquidity premiums).

• Both require assumptions and models for:

  • Asset reference portfolios (top-down),

  • Illiquidity premiums, which are difficult to define or quantify due to variability in liability liquidity.

Industry Practice Still Evolving:

• The standard offers limited guidance, leading to a lack of consensus in the market.

• This contributes to inconsistent discounting methodologies, undermining comparability — one of IFRS 17’s foundational goals.

Strategic Reflection: Is the PAA Worth the Effort?

For many insurers, especially those dealing with simple, short-duration products, the PAA continues to offer a practical compliance path. However, the need to prove eligibility, handle onerous contract assessments, and manage discounting for certain contracts adds unexpected operational and audit burdens.

Key Questions Insurers Must Ask:

• Will the effort to implement and maintain the PAA exceed the cost savings it offers?

• Is the firm’s business model evolving toward longer-term or more complex products?

• How frequently must the eligibility assessment be repeated, and are systems flexible enough to adapt?

Conclusion

The Premium Allocation Approach under IFRS 17 is not a silver bullet. While its simplicity is appealing on paper, in practice, insurers face considerable complexity in data handling, model development, and audit compliance. For firms weighing their options between PAA and GMM, a holistic review of contract types, data readiness, and audit tolerance is essential.

Recommendations for Dawgen Global Clients

As trusted advisors, Dawgen Global recommends that insurers:

1. Evaluate eligibility holistically, considering future product development and portfolio shifts.

2. Develop a roadmap for transitioning systems, focusing on data granularity and cash-based measurements.

3. Engage proactively with auditors to agree on methodologies for assessing onerous contracts and discounting.

4. Consider strategic investment in tools that enable dual model assessment for PAA eligibility validation.

Next Step!