Newark, CA – October 15, 2020 – RMS, the world’s leading catastrophe risk solutions company, estimates total onshore U.S. insured losses from Hurricane Delta to be between US$2.0bn and US$3.5bn. The estimate includes losses to the National Flood Insurance Program (NFIP) of between US$200m and US$400m.
U.S. insured loss estimates for Hurricane Delta (US$ billions):
|Wind & Surge||Inland Flood||NFIP||Total|
|1.7 - 2.8||0.1 - 0.3||0.2 - 0.4||2.0 - 3.5|
This estimate includes wind, storm surge, and inland flood losses across the impacted states, including Louisiana, Texas, and Mississippi, based on analysis of RMS ensemble footprints in Version 18.1 of the RMS North Atlantic Hurricane Models and estimates from the RMS U.S. Inland Flood HD Model. RMS ensemble footprints are reconstructions of Delta’s hazards that capture the uncertainties surrounding observed winds and storm surge.
The RMS estimate includes a 15% reduction in insured onshore losses due to the cumulative impacts of Hurricane Laura, which damaged much of the same region six weeks earlier.
“The overlapping nature of Delta and Laura will create a complicated claims management and loss attribution process for the industry. Using an innovative combination of high-resolution aerial imagery and machine-learning techniques, the modeling teams at RMS assessed the competing impacts of Hurricane Laura on Hurricane Delta losses. We determined that more than half of the impacted postal codes were also impacted by Laura, representing more than 90% of loss in this event. While Delta caused higher than expected damage to many structures due to pre-existing damage from Laura, reduced overall exposure-at-risk in the overlapping region after Laura means losses attributed to Delta will end up being lower than if Laura had never happened,” said Jeff Waters, senior product manager, RMS North Atlantic Hurricane Models.
Losses reflect property damage and business interruption to residential, commercial, industrial, and automobile lines of business, along with post-event loss amplification (PLA) and non-modeled sources of loss. RMS expects most insured losses will be from residential lines.
The estimate also includes losses to the National Flood Insurance Program (NFIP) in the range of US$200 million to US$400 million. NFIP losses were derived using the RMS view of NFIP exposure based on 2019 policy-in-force data published by FEMA, the Version 18.1 North Atlantic Hurricane Models, and the U.S. Inland Flood HD Model.
In Mexico, RMS estimates insured losses from Delta to be less than US$500 million. The estimate reflects wind losses based on analysis of RMS post-landfall stochastic event tracks in Version 18.1 of the RMS North Atlantic Hurricane Models. The estimate for Mexico includes property damage and business interruption to residential, commercial, and industrial lines of business.
Additionally, RMS estimates insured losses to offshore platforms, rigs, and pipelines in the Gulf of Mexico to not exceed US$1.0bn from wind and wave-driven damages. Offshore losses are based on the October 2020 vintage of the RMS Offshore Platform Industry Exposure Database.
“Unlike Laura, which impacted several deepwater oil and gas platforms earlier in the season, we expect offshore losses from Delta to be driven mainly by shallow water platforms. The storm shut in oil and gas production in the region up to levels not seen since Hurricanes Katrina, Rita, and Ike. However, Delta’s lower intensity and size while in the Gulf limited the wave heights and consequently, offshore losses are expected to be notably lower than those experienced in the 2005 and 2008 events,” said Rajkiran Vojjala, Vice President, Model Development.
Delta made landfall near Creole, Louisiana on Friday, October 9, 2020 as a Category 2 hurricane on the Saffir-Simpson Hurricane Wind Scale. At landfall, Delta produced sustained winds of 100 mph (160 km/h), according to the National Hurricane Center. Informed by a suite of real-time observational data sources, RMS HWind products estimated comparable winds at landfall. Delta's landfall location and intensity were well-represented by the HWind forecasting products more than 72 hours before the storm crossed into Louisiana.
“As expected, Delta weakened from major hurricane status to a weaker Category 2 storm just before landfall due to a combination of conditions, including high wind shear and cooler sea surface temperatures, both of which restrain a hurricane’s intensity. However, winds strong enough to cause damage expanded in width, increasing the number of coastal properties at risk. Fortunately, Delta rapidly weakened after landfall, which reduced the material wind and water-driven impacts across interior portions of the Gulf states,” said Pete Dailey, Vice President, Model Development.
Hurricane Delta was the twenty-fifth named storm of the 2020 North Atlantic hurricane season, the ninth hurricane, and the fifth U.S. landfalling hurricane of this very active season. Delta was a record-breaking tenth named storm to make landfall in the contiguous U.S. so far in 2020, and a record-tying fourth named storm of 2020 to make landfall in Louisiana. Over six weeks remain in the Atlantic hurricane season, officially ending on November 30.
RMS industry loss estimates for landfalling U.S. hurricanes are comprehensive, reflecting modelled and non-modelled impacts from all major drivers of damage, including wind, storm surge, and inland flooding.
The technology and data used in providing the information contained in this press release are based on the scientific data, mathematical and empirical models, and encoded experience of scientists and specialists. As with any model of physical systems, particularly those with low frequencies of occurrence and potentially high severity outcomes, the actual losses from catastrophic events may differ from the results of simulation analyses.
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Newark, Calif. – May 7, 2021 – At its annual Exceedance conference this week, RMS, the world’s leading catastrophe risk solutions company, demonstrated the benefits (re)insurance customers are experiencing by moving to RMS Risk Modeler™, the cloud-based risk modeling application running on the RMS open cloud platform, Risk Intelligence™. Risk Modeler, a next-generation cloud-based modeling application, is designed to meet the complex needs of risk analysts and cat modelers at scale. Risk Modeler enables real-time risk analytics and unified, high-performance execution of RiskLink models and High-Definition (HD) simulation models. Designed with a deep understanding of customer requirements and leveraging the latest technological innovations, Risk Modeler easily integrates with other on-premise applications as well as other cloud applications through open APIs and export services, giving customers greater flexibility and choice. This week at Exceedance, the industry has heard from RMS customers about the advantages they are gaining by adopting Risk Modeler to help manage their risk portfolios. Gallagher Re, Price Forbes & Partners Ltd, and Unipol spoke during the conference keynotes about their experiences with Risk Modeler to date. Howden Group also shared their insights on the benefits of Risk Modeler. Neil Bramley, analytics executive, Gallagher Re, “Gallagher was keen to take advantage of the SaaS Solution, pushing the technology harder and faster, leveraging the benefits and scale of secure cloud computing to ultimately create tangible advantage and upsides for our clients. Risk Modeler helped us grow our analytical capability tremendously and our usage stats are through the roof compared to last year, with the added benefit of zero downtime whenever our divisions are looking to access new functionality and solutions.” Gian Luca De Marchi, group chief risk officer, Unipol Gruppo S.p.A., “Risk modeling through the Risk Modeler application allows us to run portfolio analyses and to support risk management assessments for risk profiling, risk monitoring, capital allocation, and optimal risk transfer. Now, the RMS models could help us in moving to an internal model, reducing the gap between economic capital and regulatory capital, and provide robust support in meeting regulatory requirements in particular in relation to stress tests.” David Flandro, managing director, Head of HX Analytics, Howden Group, “Risk Modeler together with RMS’s trusted science is an important part of our analytics ecosystem that helps Howden provide a differentiated service to our clients and partners. The SaaS delivery and API-based development framework is well positioned to help service our digital-first vision with distinction.” Alexander Hanks, executive director, head of actuarial & analytics, Price Forbes & Partners Ltd, “We worked with RMS as early adopters, making full use of Risk Modeler’s API first development approach to fully integrate modeling with our own cloud tools, switching off RiskLink and RiskBrowser in the process. Gone are the days of manually working with spreadsheets, copying and pasting and relying on manually re-running modeling of jobs. The automation work has taken manual time-consuming tasks away and we're able to spend much more time on interpreting modeling results and providing deeper insights to our clients.” Speaking at the conference, RMS CEO, Karen White, said, “When RMS launched Risk Modeler 2.0 in 2020, more customers started on their cloud migration with us. We are seeing more momentum in the industry for digital first strategies. Today, insurers, reinsurers, and brokers from every major global geographic region are on the RMS platform. Leveraging leading models, technology, and the cloud to gain greater risk insights helps them to avoid surprises, confidently deploy more capital, and potentially develop new products and new business models.”
Newark, Calif. – May 6, 2021 – RMS, the world’s leading catastrophe risk modeling and solutions company, announced new innovations to ExposureIQ™ on the Risk Intelligence platform, including real-time catastrophe event visualizations and more powerful reporting. RMS also unveiled new capabilities to allow cross-portfolio accumulations across reinsurance and insurance workflows. ExposureIQ is an innovative, cloud-based exposure management application designed to help portfolio managers gain deeper insights into their books, scaling to millions of locations, enabling easy discovery of hotspots, diversification, and portfolio re-balancing. The application provides access to exposure information which leverages events and footprints from RMS Event Response and RMS’s unique HWind real-time forecasting capabilities, to help gain a quicker and more accurate assessment of potential losses before, during, and after an event. Real-time analysis and insight into portfolios allow for alignment with a company’s risk appetite, exposing threats and opportunities within their portfolio. The latest ExposureIQ release provides powerful reporting with an in-app dashboard that allows portfolio analysis across the most critical building criteria, allowing customers to understand how varying geocoding resolutions impact results as well as understanding which building occupancies and construction types are driving their losses. This advanced reporting functionality speeds up analysis and empowers portfolio managers to make faster, better-informed decisions. ExposureIQ is now the only application in the market to provide near real-time event visualization through a powerful new mapping module that integrates RMS Event Response and RMS HWind data. There’s no longer a need for customers to download and upload data to their system. Customers can now automatically access the latest event data, visualize events against exposures, and run accumulations – all within the application on a near real-time basis. At its annual Exceedance Conference, RMS demonstrated how ExposureIQ will expand on these capabilities to allow customers to run accumulations across both their insurance and reinsurance books of business. It will enable users to easily build structures that represent business hierarchies in an intuitive way. For the first time, customers will be able to run accumulations across portfolios and across cedents all in one application and leverage the RMS rich data catalog derived from our market-leading model science. Speaking at the annual RMS Exceedance conference, RMS executive vice president, product, Cihan Biyikoglu, said: “Exposure management is one of the most important aspects in terms of overall business profitability and keeping business risk appetite in check. Real-time exposure information such as wind forecasting from RMS Event Response gives customers the insights and control they need during critical points before, during, and after an event. The inclusion of cross-portfolio and cross-cedant accumulation in this release takes portfolio analytics to an unprecedented level. RMS understands the importance of making decisions based on quality data and insights. ExposureIQ brings together excellence in modeling with the flexibility, scale, and performance of the cloud to enable companies to develop a comprehensive view of their portfolio, optimize workflows, generate quality insights, and improve profitability.”
Newark, Calif. – May 5, 2021 – RMS, the world’s leading catastrophe risk modeling and solutions company, today announces new models. Speaking at the annual RMS Exceedance conference, Mohsen Rahnama Ph.D., chief risk modeling officer and executive vice president, said: “Risk is increasingly complex and connected. RMS is focused on providing the highest quality and most transparent, robust catastrophe models to the industry in this environment. With the new inland flood models and global flood hazard maps, we address an important set of regions where flood is the most important peril, and now cover 100 percent of flood premiums written worldwide. The significant update to the RMS North Atlantic Hurricane Models incorporates the latest science, and applies the learnings from 2017 onward.” Global Flood Coverage Key flood models and maps announced today at Exceedance 2021 include: A new inland flood model for China will be available in June 2021, concurrently on both RiskLink Version 21.0 and Risk Modeler, the RMS cloud platform for model execution and analytics. New inland flood models for New Zealand and Southeast Asia (Thailand, Singapore, Malaysia, and Indonesia) are available in the second half of 2021. Global flood hazard maps for over 200 countries will also be available in the second half of 2021. With this significant expansion, the RMS Global Flood Solution Suite now offers unmatched high-resolution flood model coverage and a unified approach to manage all global flood risk. These models and maps cover 100 percent of global property gross written premiums for flood. North Atlantic Hurricane Significant updates to the industry-leading North Atlantic Hurricane (NAHU) Models were also announced. The North Atlantic Hurricane Models Version 21.0 now include medium-term event rates, lessons learned from the 2017-2020 hurricane seasons, and a new alternative view of vulnerability for Florida Residential Lines. Importantly, RMS incorporated an alternative view of risk accounting for the Florida Building Code 25 percent Roof Replacement Rule, which was expanded from the High Velocity Hurricane Zone (HVHZ) to cover the entire state of Florida in the 2017 Florida Building Code. These key updates empower customers to make more informed rate setting decisions. Additional 2021 RMS Models RMS Canada Wildfire Model has been added to the RMS North America Wildfire Models Suite and is available now. Canada Wildfire has coast-to-coast coverage for Canada. Consistent with the RMS U.S. Wildfire Model, the Canada model incorporates ignition and spread of wildfires, ember footprints, smoke footprints and urban conflagration, as well as the financial model that include hours and distance clauses for representation of policy terms. RMS Cyber Solutions Version 5.1, available now, incorporates a new dashboard for underwriters providing powerful cyber underwriting analytics and rich data covering cyber incidents and threats. RiskLink Version 21.0 RiskLink 21.0 will be available June 2021. All RiskLink models will be available concurrently on both RiskLink and Risk Modeler.