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Willis and Cornell University launch partnership focused on correlated catastrophe research

Willis (NASDAQ: WTW) announced a scientific partnership with Cornell University and the Atkinson Center to study correlated natural catastrophes.

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Willis (NASDAQ: WTW) announced a scientific partnership with Cornell University and the Atkinson Center to study correlated natural catastrophes. WTW provided initial one-year funding to model whether major perils have become more synchronized and to project correlated-catastrophe behavior over the next one to five years.

The work will combine large-ensemble climate simulations and statistical analysis to inform insurers and reinsurers about aggregate exposure and geographic-diversification limits in a changing climate.

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Positive

  • Initial one-year funding agreement established to support the research
  • Partnership with Cornell and Atkinson Center provides academic expertise
  • Focus on 1–5 year projections for evolving peril correlations
  • Large-ensemble simulations and physics-informed analysis planned to improve risk modeling

Negative

  • No financial impact or cost figures disclosed for shareholders
  • Funding limited to one year, which may constrain longer-term studies
  • No immediate changes to underwriting, capital, or guidance disclosed
Argus May 6 session
-2.72% close to close Open Argus
Details

News Market Reaction – WTW

On May 6, the day this news came out, WTW closed 2.72% below the previous close.

Data tracked by StockTitan Argus for the May 6 session.

Key Figures

Initial funding term: one-year Modeling horizon: one to five years
Initial funding term
one-year
Initial funding agreement for WTW–Cornell catastrophe correlation research
Modeling horizon
one to five years
Expected evolution of correlated catastrophes to be modeled

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Key Terms

reinsurers, ensemble simulations, physics-informed statistical analysis
3 terms
reinsurers financial
"The research ... will offer insurers and reinsurers new insights into the synchrony"
Reinsurers are companies that sell insurance to other insurance companies, taking on part of their losses so the original insurers are less exposed to big claims. For investors this matters because reinsurers help prevent a single large disaster from wiping out an insurer’s finances, influence industry pricing and profitability, and can themselves be sensitive to catastrophic events and capital needs—think of them as a backup safety net for insurance firms.
ensemble simulations technical
"account for the chaotic nature of weather through large ensemble simulations and physics-informed"
Ensemble simulations are collections of many computer-run scenarios that repeat a model with slightly different inputs or assumptions to produce a range of possible outcomes instead of a single forecast. For investors they matter because the spread and likelihoods from the ensemble reveal uncertainty and rare-but-important risks—like consulting many weather forecasts to see the chance of a storm—helping assess downside exposure, stress-test positions and make more informed decisions under uncertainty.
physics-informed statistical analysis technical
"through large ensemble simulations and physics-informed statistical analysis."
Physics-informed statistical analysis blends known physical laws or engineering principles with data-driven statistical models to make predictions about real-world systems. Think of it as using a roadmap (the physics) together with live traffic reports (the data) so forecasts are grounded in how things must behave, not just past patterns; for investors this typically yields more reliable forecasts, clearer operational risk signals, and better-informed estimates of future performance for companies whose results depend on physical processes.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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LONDON, May 06, 2026 (GLOBE NEWSWIRE) -- Willis, a WTW business (NASDAQ: WTW), today announced a new scientific partnership with researchers at Cornell University and the Atkinson Center for a Sustainable Future to identify evolving threats from correlated natural catastrophes. The research, funded by WTW through an initial one-year funding agreement, will offer insurers and reinsurers new insights into the synchrony of major perils and its potential effects on the industry’s collective exposure to catastrophic losses.  

Catastrophic natural hazards cause large losses for insurers and reinsurers, so the industry pays close attention to aggregate behavior of tropical cyclones, wildfires, severe convective storms, and other leading perils. The insurance sector relies on geographic diversification to reduce its collective exposure to natural catastrophes, assuming that major catastrophes are not likely to occur in the same year in different parts of the world. Historically, peril-to-peril correlations have been weak, and statistical models do not generally justify holding additional capital to guard against the possibility of multiple, synchronized catastrophic events. 

But what has happened in the past may not remain the same in the future. The Earth’s climate is changing, and we do not yet know how this affects correlations across perils. Through this collaboration, experts at Cornell and Willis will examine whether major perils have already become more correlated in the present day and model the expected evolution of correlated catastrophes over the next one to five years. At Cornell, the research will be supported by the Atkinson Center for Sustainability and carried out by Dr. Jonathan Lin, Dr. Toby Ault, and Dr. Flavio Lehner in the university's Earth and Atmospheric Sciences Department. 

Scott St. George, Head of Weather and Climate Research for the Willis Research Network, said: “In a changing world, we can’t afford to look only in the rearview mirror. Geographic diversification has served the insurance industry well in the past, but if catastrophes become more correlated, that strategy will no longer be valid. Our partners at Cornell will help us determine the true risk of correlated catastrophes in the present day and get prepared for the possibility of greater synchrony in the near future.” 

Cameron Rye, Director of Natural Catastrophe Analytics for Willis Re, said: “Understanding how multiple natural perils may align in a warming world is becoming increasingly important for reinsurers, who have traditionally modelled the risk from different perils independently. By combining Cornell’s cutting-edge research with Willis’s deep industry experience, we can give our clients clearer visibility into evolving catastrophe risks and support more resilient decision-making.” 

Prof. Toby Ault, Associate Professor in the Department of Earth and Atmospheric Sciences at Cornell University added: "We're excited to work with WTW to translate cutting-edge climate and atmospheric science into actionable insights for the insurance industry. Our research has shown that to accurately assess correlated risks in a changing climate, one needs to account for the chaotic nature of weather through large ensemble simulations and physics-informed statistical analysis. By combining our expertise in drought research, climate variability, and hurricane risk with WTW's industry knowledge, we can better prepare for the complex climate risks of the future."

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 organizations sharpen their strategy, enhance organizational resilience, motivate their workforce and maximize performance. 

Working shoulder to shoulder with our clients, we uncover opportunities for sustainable success—and provide perspective that moves you. 

About Cornell University 
Cornell University is an Ivy League and statutory land-grant research university located in Ithaca, New York. Founded in 1865, Cornell is consistently ranked among the world's leading academic institutions, with strengths in atmospheric sciences, engineering, and environmental research. The university's Department of Earth and Atmospheric Sciences is internationally recognized for its leadership in climate science, drought research, and applied climatology. 

About the Atkinson Center  
The Atkinson Center for Sustainability supports interdisciplinary research on climate risk and resilience, helping translate Cornell’s academic expertise into practical insights with real-world impact. 

Media contacts

Jo Barrett
Jo.Barrett@wtwco.com / + 44 7940 703911

Lauren Ryan
Lauren.Ryan@wtwco.com / +1 845 598 4895


FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did WTW announce about a Cornell research partnership on May 6, 2026?

WTW announced a funded research partnership with Cornell and the Atkinson Center to study correlated catastrophes. According to the company, initial funding covers a one-year research agreement focused on peril synchrony and near-term projections.

What will the WTW–Cornell research on correlated catastrophes examine?

The research will examine whether major perils have become more correlated and model their near-term evolution. According to the company, work includes large-ensemble climate simulations and physics-informed statistical analysis.

How long will WTW fund the Cornell correlated-catastrophe study (WTW)?

WTW provided an initial one-year funding agreement to support the research. According to the company, that agreement funds the first year of collaboration and associated analyses.

How could the WTW–Cornell findings affect insurers and reinsurers (WTW)?

Findings could alter assumptions about geographic diversification and aggregate exposure to catastrophes. According to the company, clearer visibility into peril synchrony may inform risk models and decision-making for clients.

Who at Cornell will conduct the correlated-catastrophe research with WTW (WTW)?

Researchers include Dr. Jonathan Lin, Dr. Toby Ault, and Dr. Flavio Lehner in Earth and Atmospheric Sciences. According to the company, the Atkinson Center will support the university's work.

What timeline will the WTW–Cornell project model for correlated catastrophes (WTW)?

The project will model current-day correlations and expected evolution over the next one to five years. According to the company, the focus is on near-term synchrony of major perils.

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