Uncertainty is constant and catastrophe is unpredictable. As natural catastrophes grow in intensity and frequency, understanding and quantifying their potential impact — especially the tail risks and influence on earnings — has never been more crucial.
The insurance solutions team at Moody's is dedicated to delivering industry-leading catastrophe modeling that combines cutting-edge analytics, technology, and science. Discover what sets us apart.
Through our extensive suite of solutions and capabilities, we help the insurance industry evaluate and manage natural and man-made catastrophe risks, including perils ranging from earthquakes and hurricanes to floods and wildfires.
By harnessing an advanced temporal simulation framework and powerful, native, cloud-based computing, high-definition models deliver a more realistic representation of loss with deep insights into uncertainty, revolutionizing risk management practices and business decision-making.
Moody's RMS™ award-winning models cover natural risks including earthquakes, hurricanes, windstorms, flooding, wildfires, and climate change in addition to emerging risks like cyberattacks, terrorism, pandemics, and more.
Moody’s enriched datasets allow organizations to enhance the quality of their catastrophe modeling insights by providing high-quality exposure data and extensive analytics across all lines of business. Leveraging Moody’s deep property expertise, these datasets seamlessly integrate into our risk applications, improving risk insights for more than 112.5 million commercial locations.
With a team of more than 350 analysts on board, the insurance solutions team at Moody's delivers high-quality analytical intelligence across all aspects of catastrophe modeling and risk management. They leverage up-to-date data and models, along with robust, automated, and scalable processes and deep industry expertise to provide top-tier analytical insights.
High-definition modeling combines a simulation timeline of the hazard with ground-up simulation, sampling losses at every impacted location for each event. High-definition models can define the damaging features of the event in high resolution (up to a 1-meter grid) as well as any site conditions that could influence the impact of the event, which is crucial for high hazard gradient perils such as floods and wildfires.
Detailed loss modeling is an event-based modeling approach that quantifies a suite of potential events and their associated annual rates of occurrence. The uncertainty in severity is represented parametrically through distributions that provide a range of losses for each modeled event.
Aggregate loss modeling is a framework used for calculating financial loss statistics. Unlike detailed loss modeling or high-definition modeling, aggregate loss models are designed to handle situations where exposure information is not available on a location-by-location level. Instead, it uses aggregate exposure data to calculate potential losses.
Moody’s RMS extends its comprehensive catastrophe modeling to address climate change, helping (re)insurers and brokers understand the perils most affected by it. These models, calibrated for future risks under climate change scenarios, offer new event rates projected through 2100 and are available for selected countries and climate-related perils.
We offer a range of specialty models to complement its natural catastrophe modeling solutions. These include the Moody's RMS Builder's Risk Model, which evaluates risk throughout the construction life cycle for various buildings and structures. The Moody's RMS Industrial Facilities Model, an advanced vulnerability module, integrates with Moody's RMS earthquake, flood, and windstorm models to assess risks specific to industrial facilities. Additionally, the Moody's RMS Marine Cargo Model addresses cargo and specie risk at ports and inland storage facilities.
We designed Moody's RMS cyber models to cover the entire range of attritional and catastrophic cyber risks across an array of information technology and operational technology scenarios. These fully parameterized models account for both the frequency and severity of events by interpreting the underlying "physics" of cyberspace.
Moody’s Intelligent Risk Platform™ Open Modeling Engine unifies management and execution of over 700 Moody’s RMS™, third-party, and in-house models natively connecting to the Nasdaq Risk Modeling for Catastrophes environment.
Catastrophe modelers can build highly flexible, scalable, and resilient risk workflows using Moody’s Intelligent Risk Platform’s cloud-native data and applications architecture. By digitizing key steps in the catastrophe modeling workflow, organizations can reduce the amount of time spent operating models by over 75%.
Moody’s Intelligent Risk Platform simplifies the complexity of exposure data schema mappings by allowing modeling teams to import and transform the Oasis Open Exposure Data schema, in addition to Verisk’s/AIR’s Catastrophe Exposure Database Exchange schema, directly into exposure data modules.
We built Moody’s catastrophe modeling solutions to match the high usage periods in the insurance calendar, such as renewals. Catastrophe modelers can experience modeling speeds up to 10 times faster in Risk Modeler than in equivalent on-premises modeling environments.
Howden, a global insurance group, partnered with Moody's RMS to integrate the cloud-based Intelligent Risk Platform™ into its HX Analytics division, enhancing catastrophe modeling and risk management. This collaboration streamlined HX's data environment, automating workflows and providing scalable, flexible risk insights for customers while reducing operational costs and supporting long-term business growth.
Moody's, in partnership with Flood Re, conducted a study examining the impact of climate change on flood defenses in York and Pontypridd and found that while increasing flood defense standards can help mitigate future losses, significant investments are needed. The results highlight the importance of adapting flood infrastructure alongside other resilience measures as the UK transitions to risk-reflective flood insurance pricing after the Flood Re scheme ends.
The California Earthquake Authority partnered with Moody’s to analyze the effectiveness of its Earthquake Brace + Bolt Program, which provides grants to homeowners for seismic retrofits. The study demonstrated that retrofitting homes can significantly reduce earthquake damage with loss reductions as high as 70%, supporting the case for offering insurance credits to boost adoption and reduce California's earthquake protection gap.
Gallagher Re is leveraging an analytics-driven approach to model and manage catastrophic cyber risks, helping customers better assess and price cyber (re)insurance hazards. Our partnership focuses on improving tail risk quantification to support the cyber insurance market’s growth and sustainability.
Moody's RMS Event Response has recently published its comprehensive 2024 Catastrophe Review report recapping the biggest events of 2024.
Catastrophe modelers can accelerate model change management with fewer resources, less effort, and at a lower cost with Risk Modeler.
Moody’s comprehensive modeling solutions capture risk correlations across primary and secondary perils.
Against a backdrop of escalating natural disasters and increasingly interconnected risks, the 2023 catastrophe review report reveals a year marked by the rise of secondary perils.
Interested in learning more about our offerings? Our solutions specialists are ready to help.