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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LONDON – 26 August, 2022 – AXA Climate, an entity of the AXA Group specializing in climate change adaptation, will include HWind analytics from RMS®, a Moody’s Analytics company and world-leading risk modeling and solutions company, as a trigger metric for its relevant parametric insurance policies. HWind produces real-time data sets for tropical cyclone events, allowing quick evaluation of hurricane trigger/payout conditions, which enables parametric policyholders to gain rapid access to capital following impactful events. RMS HWind solutions offer comprehensive coverage over the Western North Atlantic, Eastern Pacific, and Central Pacific basins. Using RMS HWind helps AXA Climate to be fully flexible as to how and where they structure parametric policies, allowing AXA Climate to reassure their clients that they will quickly receive the protection they paid for when damaging winds are present. Amaury Dufetel, Head of Insurance, AXA Climate, said: “As an Engaged Climate Insurer, we believe the preciseness of sophisticated real-time data is essential to improve the use and uptake of parametric insurance solutions. Data coming from independent reputable organizations like RMS HWind solutions, developed over more than 25 years by one of the world’s leading hurricane observation researchers, will allow us to structure innovative parametric covers and bring to our clients the best tailormade Tropical Cyclone coverage both in terms of price and claim settlement.” Charlotte Acton, Senior Director, RMS, added: “By working closely with AXA Climate, we have been able to help an important client develop innovative products that offer a competitive advantage and can help enable growth into new markets. Parametric insurance is another example of how the insurance industry can help build resilience into economies, which in turn helps reduce the protection gap. RMS remains committed to supporting insurance innovation, in our products, for our clients, and for their end users.” About AXA Climate AXA Climate is a Committed Climate Insurer: We integrate best-in-class climate expertise and data in all our products. We believe that from this decade onwards, only private and public actors committed to a sustainable transition will be insurable. Our mission is to reinvent the insurance business to support those engaged in sustainable transitions. We have developed a set of business lines around climate change: parametric insurance against climate risks, climate and nature consulting services, financing and climate training to engage all employees. We are a team of over 150 collaborators spread across the 5 continents, leveraging the entire AXA ecosystem. Visit https://www.climate.axa/ to learn more and follow us on LinkedIn.
NEWARK, CA – 15 August, 2022 – Andrew Hare has been appointed Managing Director, Asia-Pacific at RMS®, a Moody's Analytics company and global leader in risk modeling and solutions. Andrew will be responsible for integrating and leading the strategy and execution across the combined RMS and Moody’s Analytics Insurance Vertical, as well as overseeing client relationships and business development in the region. He will be based in Singapore and will report to Michael Steel, General Manager at RMS, and Wael Jadallah, Moody’s Analytics Head of APAC and the Middle East. Andrew has almost 25 years of experience and was most recently Managing Director and Head of Aon Inpoint (Aon's insurance advisory business) for Asia. He was previously a Managing Director responsible for Strategy and Growth at Aon Reinsurance Solutions across Asia-Pacific. During his 17-year career with Aon, Andrew worked extensively with insurers and reinsurers in the U.K., Europe, Bermuda, and North America before moving to Singapore in 2013. Andrew began his career with Accenture after majoring in Business Management at Oxford Brookes University. Michael Steel, General Manager, RMS said: "Andrew brings extensive experience in the insurance industry, as well as a thorough understanding of the diverse risk requirements in Asia-Pacific, where he has built industry-leading teams and capabilities that have delivered deep insights and added value to insurers and reinsurers. We are delighted to welcome Andrew and look forward to the positive impact he will have on RMS and Moody's Analytics clients. We have always placed a high value on the Asia-Pacific region, and Andrew's appointment demonstrates our continued commitment to providing leading insight, data, and analytics to our clients, communities, and the industry." Wael Jadallah, General Manager Asia-Pacific and the Middle East, Moody's Analytics, highlighted: “We are delighted to have Andrew join as Managing Director and head of our Insurance practice in Asia-Pacific and the Middle East. Andrew is well known and respected by an extensive network within the insurance industry globally. He brings a wealth of experience and his appointment is a testimony of Moody’s Analytics’ investment in our regions, as we continue to invest in our commitment to add value to our clients’ evolving needs.” Andrew Hare, Managing Director, Asia-Pacific, RMS added: “Climate change and natural catastrophes, such as flood, fire, earthquake, and typhoon, continue to wreak havoc on the Asia-Pacific region. Following the devastating effects of the COVID-19 outbreak as well as chronic supply chain disruptions, heightened cyberattacks, social and economic inflation, and global geopolitical uncertainty, many economies and communities in the region are continuing their long road to recovery. RMS, with the combination of capabilities with Moody’s Analytics, is uniquely positioned to provide a deep understanding of the region’s evolving risk profile and increase confidence in risk management and selection. I am thrilled to join the team to deliver an integrated risk assessment strategy that will help clients and communities decode risk and unlock opportunity."
LONDON – 3 August, 2022 – Covenant Underwriters, the e-commerce insurance program administrator, is using Location Intelligence API from RMS®, a Moody’s Analytics company and world-leading risk modeling and solutions company, to provide real-time premium indications to its clients during the quotation process. RMS Location Intelligence API offers market-leading, high-resolution, location-level hazard, risk, and loss metrics delivered directly into underwriting workflows. Clients using Location Intelligence API benefit from trusted model data to help customize pricing for each policy, helping avoid adverse selection and to provide greater opportunities for dynamic pricing. Location Intelligence API is available in multiple countries and covers key modeled perils like hurricane, flood, earthquake, wildfire, convective storm, and more. Daniel Murray, Chief Underwriter at Covenant Underwriters, said: “Covenant has developed an API-powered rating algorithm that leverages big data and artificial intelligence to produce an instant price indication for any given address. Using an application programming interface (API) to integrate RMS knowledge and insight directly into the Covenant platform, enables our retail brokers to craft the winning terms during the quote process.” Marisa Ruscitto, Managing Director, RMS, said: “The RMS Location Intelligence API enables users to benefit from a competitive advantage with real-time, location-level hazard, risk, and loss metrics. Using these metrics not only helps with risk selection but also pricing, screening, and referrals. As underwriting workflows automate rapidly, an increasing number of industry leaders are adopting real-time underwriting processes and decision-making capability to quickly match risk to capital, and to better support their clients and their business.” About Covenant Underwriters Based in Houston, Texas, Covenant Underwriters develops and administers e-commerce insurance programs that leverage custom forms, cutting-edge technology, and niche underwriting to make specialty insurance easy for retail brokers. Current niche programs include commercial package policies for limited-service hotels and convenience stores with gas stations. Visit Covenant Underwriters for more information.