WTW (NASDAQ: WTW) launched a new version of its Geospatial Mortality Model (GMM) tailored to the U.S. pension risk transfer (PRT) market. The model, already used by pension plan sponsors, is now available to insurers and reinsurers to support PRT pricing and longevity risk management.
According to WTW, GMM combines participant pension data with geographic, socioeconomic, and health-related factors, trained on nearly four million life-years of mortality data, including post-COVID experience through 2024, to refine mortality assumptions and support asset-liability management.
Set against a backdrop of low short positioning and recent Net Buying by senior insiders, this produ...
Analysis
Set against a backdrop of low short positioning and recent Net Buying by senior insiders, this product launch fits WTW’s pattern of frequent analytics upgrades. Investors may watch whether this PRT-focused tool affects future news-driven price reactions, which have been uneven.
Key Figures
Mortality data exposure:nearly four million life-yearsExperience window:through 2024Socioeconomic factors evaluated:over 200 factors
3 metrics
Mortality data exposurenearly four million life-yearsTraining dataset for Geospatial Mortality Model
Experience windowthrough 2024Includes post-COVID mortality experience in model training
Socioeconomic factors evaluatedover 200 factorsUsed to identify health, wealth and lifestyle drivers of longevity
Enhanced Climate Diagnostic model within Risk IQ for property climate‑risk analytics.
24h Move is the share-price change in the day after each event; other market factors may also have contributed.
Pattern Detected
Recent product and research launches have drawn mixed share reactions, with some technology rollouts sold into despite generally constructive news flow.
"intended for the U.S. pension risk transfer (PRT) market that will enable"
A pension risk transfer is when a company pays an insurer to take over its obligation to pay retirees, effectively handing off future pension payments in exchange for a one-time fee. It matters to investors because it removes a long-term, uncertain liability from the company’s balance sheet and shifts the funding and longevity risk to the insurer, like moving a mortgage from a homeowner to a bank, which can make the company’s finances more predictable and change cash needs and valuation.
longevity riskfinancial
"to more accurately price and manage longevity risk."
Longevity risk is the danger that people live longer than expected, forcing pension plans, annuity providers, insurers and governments to pay benefits for a longer time than budgeted. For investors, it matters because unexpectedly higher lifetime payments can raise liabilities, lower returns and change which assets or hedges are needed—like planning a road trip that turns out to be far longer than your fuel supply.
asset-liability managementfinancial
"enhance PRT pricing, strengthen asset-liability management, and improve"
A risk-management process banks and other financial firms use to match the timing and size of what they own (assets) with what they owe (liabilities) so they can meet payments, avoid losses from rate changes, and keep operations funded. Think of it like a household balancing savings, mortgages and bills to make sure cash will be available when bills come due; investors watch it because weak management can signal liquidity trouble, volatile earnings, or higher funding costs.
mortality assumptionsfinancial
"produces smarter, more flexible mortality assumptions by harnessing"
Mortality assumptions are the estimated patterns of death rates or life expectancy used by insurers, pension funds, and other financial firms to project future cash flows for pensions, life insurance, and similar obligations. Like guessing the average lifespan of a group to plan how long payments will be needed, these assumptions affect the size of reserves, liability values, premium pricing, and funding requirements, so small changes can materially alter reported liabilities and financial ratios.
NEW YORK, July 14, 2026 (GLOBE NEWSWIRE) -- WTW (NASDAQ: WTW) today announced the launch of a new version of its Geospatial Mortality Model (GMM) intended for the U.S. pension risk transfer (PRT) market that will enable insurers and reinsurers to more accurately price and manage longevity risk.
The model – already used by U.S. pension plan sponsors to set longevity assumptions – is now available to insurers to enhance PRT pricing, strengthen asset-liability management, and improve visibility into longevity risk.
WTW’s GMM produces smarter, more flexible mortality assumptions by harnessing the predictive power of both pension and geographic data. Leveraging insights gleaned from where participants live, the model incorporates socioeconomic and health-related factors alongside participant-specific pension data that have been shown to be strongly predictive of life expectancy.
The model has been trained on nearly four million life-years of mortality data, including post-COVID experience through 2024, and developed by evaluating over 200 socioeconomic factors to specifically identify the health, wealth, and lifestyle factors most predictive of longevity. This ensures that GMM delivers the accuracy needed to gain a strategic edge in PRT pricing and asset-liability management, as well as mitigating unexpected outcomes.
Beth Ashmore, Senior Managing Director, Retirement, WTW, said: “We are thrilled to partner with our colleagues in Insurance Consulting and Technology to expand the reach of WTW’s Geospatial Mortality Model (GMM). GMM has already provided pension plan sponsors better insights into their plans’ unique longevity and we’re excited to bring this enhanced capability to the insurance market.”
Karen Grote, Managing Director and North American Life Division Leader, Insurance Consulting and Technology, WTW, said: “For insurers, accurate mortality assumptions are foundational to pricing and risk management. By making this proven model available to the insurance community, we’re giving PRT writers a powerful new way to sharpen pricing, enhance longevity risk management, and compete with greater confidence.”
About WTW
At WTW (NASDAQ: WTW), we provide data-driven, insight-led solutions in the areas of people, risk and capital. Leveraging the global view and local expertise of our colleagues serving 140 countries and markets, we help organisations sharpen their strategy, enhance organisational resilience, motivate their workforce and maximise performance.
Working shoulder to shoulder with our clients, we uncover opportunities for sustainable success – and provide perspective that moves you.
What did WTW (NASDAQ: WTW) announce about its Geospatial Mortality Model on July 14, 2026?
WTW announced a new version of its Geospatial Mortality Model (GMM) for the U.S. pension risk transfer market. According to WTW, the upgraded model supports insurers and reinsurers in pricing pension risk transfers and managing longevity risk using enhanced mortality assumptions.
How does WTW’s Geospatial Mortality Model help U.S. pension risk transfer (PRT) insurers?
WTW’s Geospatial Mortality Model is designed to improve PRT pricing accuracy and longevity risk management for insurers. According to WTW, the model supports asset-liability management and offers better visibility into longevity risk by refining mortality assumptions using detailed participant and geographic information.
What data does WTW’s Geospatial Mortality Model (GMM) use to predict mortality and longevity?
WTW’s GMM uses both participant-specific pension data and geographic, socioeconomic, and health-related factors. According to WTW, the model was trained on nearly four million life-years of mortality data, including post-COVID experience through 2024, to identify factors most predictive of longevity.
How is WTW’s updated Geospatial Mortality Model different for insurers and reinsurers in the PRT market?
The updated GMM version is now specifically available to insurers and reinsurers in the U.S. PRT market. According to WTW, it enables PRT writers to sharpen pricing, enhance longevity risk management, and support asset-liability management using more granular mortality assumptions.
What role do socioeconomic factors play in WTW’s Geospatial Mortality Model for PRT pricing?
Socioeconomic factors are used to refine mortality assumptions by capturing differences in health, wealth, and lifestyle. According to WTW, the model evaluates over 200 socioeconomic variables, combining them with geographic and pension data to better predict life expectancy for PRT applications.
Does WTW’s Geospatial Mortality Model include post-COVID mortality experience in its assumptions?
Yes, WTW’s Geospatial Mortality Model incorporates post-COVID mortality experience through 2024. According to WTW, training the model on this updated data helps ensure mortality assumptions reflect recent longevity patterns, which is important for accurate pricing and risk management in the pension risk transfer market.
