Predicting persistency in an uncertain world

  • Insight
  • 3 minute read
  • December 19, 2025

Niall Naughton

Director, PwC Ireland (Republic of)

Lapse risks in Ireland’s shifting economy

Ireland’s economy continues to grow, with low inflation and strong tax receipts — but risks remain. A small number of firms drive much of our output, employment and revenue, making us vulnerable to global shocks. Life insurers must ask whether their lapse assumptions reflect today’s uncertainty, especially when recent data may not capture adverse conditions.

CBI Consultation Paper 160 — Insight | PwC Ireland

Risks to lapse assumption setting following a stable period

Evolving risks and uncertainties present real challenges for Ireland’s domestic life insurers as they set lapse (persistency) assumptions, whether for valuation, pricing or growth forecasting.

Our annual domestic life insurance assumptions survey shows that life insurers have experienced relatively benign lapse rates in recent years. On average, survey participants use five years of data to set their lapse assumptions. This means there’s a risk that truly adverse lapse experience, such as the significantly higher rates seen after 2008, may not be reflected in the data currently used by life insurers.

Survey participants indicate that they apply actuarial judgement to allow for ‘events not in data’ (ENIDs), as required under Solvency II. However, determining the right level of allowance is more challenging in uncertain environments, especially when experience data is limited to more recent years.

Level term assurance: an example

We have reviewed industry lapse experience for Level Term Assurance (LTA). The graph below presents the average lapse rate for LTA, based on survey participants’ responses dating back to 2008. This data shows that recent lapse experience averaged less than 5%, while it peaked at around 12% — approximately 2.5 times higher — between 2009 and 2012.

These figures highlight the potential impact on lapse rates if Ireland’s economy were to experience a significant downturn, whether through reduced tax revenues, increased unemployment or other factors.

Unemployment is widely recognised as closely correlated with lapse experience. In fact, several survey participants use unemployment figures to help predict future lapses. The graph below overlays the Irish unemployment rate since 2008, illustrating this connection. Comparable patterns between unemployment and lapse rates were also identified across other product categories in our survey results.

 

The future?

Despite growing global economic uncertainty, Ireland’s labour market remains resilient, with only a slight increase in the seasonally adjusted unemployment rate in July. With unemployment still below historic averages, life insurers may be asking how long this stability will last and whether their assumptions for lapses, and for new business, are robust enough to account for heightened uncertainty.

Key actions businesses can take today

Relying solely on recent data can mask risk. Expand your dataset to include periods of economic stress, such as post-2008, to better understand how lapse rates behave under pressure. This broader view helps build more resilient assumptions and supports better decision-making in volatile environments.

Use scenario testing to explore how lapse rates might respond to adverse conditions: rising unemployment, falling tax receipts or declining consumer sentiment. Stress-testing helps quantify exposure and ensures your models are robust enough to support pricing, capital planning and strategic forecasting.

Incorporate macroeconomic indicators like unemployment rates into your predictive models. These variables offer early signals of changing persistency trends and can improve forecasting accuracy. Aligning internal data with external trends helps insurers stay ahead of market shifts.

Actuarial judgement is essential, especially when accounting for ENIDs. But it must be applied consistently and transparently. Establish clear governance around judgement calls, document rationale and revisit assumptions regularly to ensure they remain fit for purpose.

Regular benchmarking helps validate your assumptions and identify outliers. Comparing lapse rates, modelling approaches and ENID allowances with industry peers provides valuable context and can highlight areas for improvement or recalibration.

We’re here to help you

PwC Ireland’s Risk Modelling Services team helps insurers navigate uncertainty with confidence. From assumption benchmarking to predictive modelling and regulatory support, we bring deep expertise and practical insight to help you meet your strategic goals. Contact our experts today.

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Contact us

Niall Naughton

Director, PwC Ireland (Republic of)

Tel: +353 86 385 0808

Donna McEneaney

Director, PwC Ireland (Republic of)

Tel: +353 87 3520970

Laren Gill

Senior Manager, PwC Ireland (Republic of)

Tel: +353 87 342 7921

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