IFRS 17 in Practice: Implementation Challenges for Asian Insurers

From Standard to Practice

When IFRS 17 was finalised and the implementation timeline confirmed, most insurers focused initially on understanding the accounting model: the General Measurement Model, the Premium Allocation Approach, the Variable Fee Approach, the Contractual Service Margin and how these connected to the financial statements. That analytical work was necessary and in many cases well executed.

What has become clear in the years since implementation is that the accounting model was the more tractable part of the challenge. The harder work has been operational: building the data infrastructure, actuarial models, system architecture, disclosure frameworks and governance processes that a live IFRS 17 reporting environment demands on a quarterly or annual cycle.

For Asian insurers that implemented on schedule, the first full reporting periods have exposed gaps that were not visible in the parallel run phase. For smaller insurers and those in markets where implementation support was less readily available, those gaps have sometimes been significant. This briefing addresses the areas where implementation challenges have been most persistent and what a sustainable IFRS 17 operating model looks like.

The Data Challenge Is Bigger Than It Looks

IFRS 17 is data-intensive in ways that differ from earlier accounting frameworks. The calculation of insurance contract liabilities requires granular data about individual contracts or groups of contracts, cash flow projections, discount rate inputs, risk adjustment calculations and, for participating contracts, assumptions about the dividend crediting mechanism.

What many insurers underestimated was the combination of:

• The volume of historical data required to populate opening balance sheets and track movements
• The frequency at which assumptions need to be updated and the data feeds required to support that
• The need for contract grouping at initial recognition that is then locked in for the life of the group
• The granularity of data required for the variable fee approach on with-profit and participating contracts

Asian insurers with older policy administration systems have found that the data quality and accessibility assumptions embedded in their IFRS 17 design needed revisiting once live operations began. Data remediation programmes that were scoped as one-time exercises have in some cases become ongoing activities.

The contract grouping decisions made at initial recognition -- dividing contracts into annual cohorts, distinguishing onerous from non-onerous groups -- create a data structure that must be maintained consistently over multi-decade contract lifetimes. The governance of that data structure, including how exceptions and edge cases are handled, requires more formal process than many insurers initially built.

Actuarial Model Complexity and Run Time

The actuarial models that produce the cash flow projections underpinning IFRS 17 liabilities are more complex and computationally demanding than the models used under previous reserving frameworks for most Asian insurers. The requirement to project cash flows on a best-estimate basis, calculate risk adjustments, and run scenario analysis for the Contractual Service Margin creates a model architecture that differs materially from what existed before.

For life insurers with participating or universal life products, the variable fee approach requires projection of future fees and policyholder participation benefits, which depends on stochastic or deterministic scenario analysis of investment returns. This is actuarially demanding and the model validation requirements are significant.

Run time is a practical operational constraint that is sometimes underestimated. Models that take hours to run are manageable for annual reporting but create difficulties when quarterly reporting deadlines are tight and the model needs to be re-run with corrected data or revised assumptions. Investment in model efficiency -- through better coding, parallel processing or selective use of approximation approaches -- is often necessary to make the reporting cycle sustainable.

Model change governance under IFRS 17 is more demanding than under previous frameworks because model changes can affect the Contractual Service Margin and create earnings volatility. The documentation, approval and disclosure requirements for actuarial model changes need to be built into the governance framework explicitly.

Discount Rate Methodology and Assumptions

IFRS 17 requires that insurance contract liabilities be discounted using rates that reflect the characteristics of the insurance liability, derived from observable market rates. The methodology for determining these discount rates, and the process for updating them at each reporting date, is an area where practice has varied and where regulatory scrutiny has been active.

The top-down and bottom-up approaches to deriving discount rates each have practical challenges in Asian markets. The bottom-up approach starts with a risk-free rate and adds an illiquidity premium; the top-down approach starts with the yield on a reference asset portfolio and subtracts credit risk. In markets where liquid bond markets are less developed, both approaches require judgement and the range of defensible answers is wider than in deeper capital markets.

Currency considerations add complexity for regional insurers writing business in multiple currencies. Each currency requires its own discount rate derivation, and the governance of discount rate assumptions across a multi-currency book needs to be coordinated at group level.

The interaction between discount rates and the contractual service margin means that changes in discount rates affect the P&L through the insurance finance income or expense line. The accounting policy choice between presenting finance income and expense in the income statement or splitting between income statement and other comprehensive income has implications for earnings volatility that boards and analysts should understand.

Disclosure Requirements and Investor Communication

IFRS 17 requires substantially more disclosure than previous insurance accounting standards. The disclosure package includes reconciliations of opening and closing balances, analysis of the sources of change in insurance contract liabilities, sensitivity analysis, and qualitative information about significant judgements.

For listed insurers and those with external investors or regulators who use the financial statements, managing this disclosure is not purely a technical exercise. The disclosures tell a story about the business that analysts and regulators will read and interpret.

Common disclosure challenges:

The reconciliation of insurance revenue and insurance service expenses is new information that requires explanation. Analysts accustomed to gross written premium as the primary top-line metric need to understand what insurance revenue represents under IFRS 17 and how it relates to premium flows.

The Contractual Service Margin movement reconciliation reveals how the insurer is releasing profit over the coverage period and how new business is contributing to future profit. This is commercially sensitive information that is nonetheless required to be disclosed in sufficient detail to be useful.

Risk adjustment disclosures require an explanation of the methodology and the confidence level implied by the risk adjustment. This requires internal consensus on what confidence level the risk adjustment represents, which in turn requires actuarial judgement and governance.

Governance and Internal Control

The IFRS 17 close process involves actuarial, finance, IT and risk functions working together under tight deadlines. The governance of that process -- who approves what, how discrepancies are investigated, what controls exist over data flows and model outputs -- needs to be formally designed rather than evolving organically.

Control points that require particular attention:

The interface between actuarial systems and finance systems is a common source of error risk. The data that flows from the actuarial model to the financial accounting system needs to be fully reconciled, with clear ownership of any differences.

Assumption governance under IFRS 17 needs to address both the update frequency and the approval process. Current period assumptions affect the current period P&L and the Contractual Service Margin. Material assumption changes require board or audit committee visibility.

The judgement-intensive areas of IFRS 17 -- contract grouping, discount rate methodology, risk adjustment -- require documented policies that are reviewed and approved at an appropriate governance level and applied consistently between periods.

What a Sustainable Operating Model Looks Like

An IFRS 17 operating model that was adequate for the first reporting period may not be adequate for sustained high-quality reporting over the contract lifetimes of a multi-decade life insurance book. Building toward a sustainable model requires ongoing investment in several areas.

Data infrastructure needs to support not just current period reporting but the long-term maintenance of contract group data, assumption histories and model version control.

Actuarial model efficiency needs to allow for the reporting cycle to be completed within available time, including time for review and correction.

Finance and actuarial integration needs to be close enough that discrepancies are identified and resolved quickly rather than discovered late in the close process.

Disclosure quality needs to be reviewed each period not just for technical accuracy but for whether the disclosures communicate the economics of the business clearly to the intended audience.

We work with insurers across Asia Pacific on actuarial consulting encompassing IFRS 17 model development and review, assumption governance frameworks and actuarial peer review. Our financial modelling practice supports the business planning and capital analysis that connects to the IFRS 17 reporting environment. If your organisation is working through IFRS 17 implementation challenges or reviewing its operating model for sustained reporting quality, our team is available to discuss your specific position.