NEWARK, Calif. - February 10, 2014 RMS, the world's leading catastrophe modeling firm, today announced that it has released new views of risk for U.S. and Canada Severe Convective Storm (SCS) and China Typhoon. The new versions of these models provide enhanced risk differentiation, pricing and portfolio- management capability for two perils that are increasingly becoming drivers of annual and catastrophe losses for the industry.
“Recent seasons have shown that SCS losses are a material risk to the industry with a trend of increasing claims severity over time,” said Dr. Claire Souch, senior vice president, business solutions at RMS. “Our new SCS model shows that average annual losses from tornado and hail events now rank a close second to hurricane-driven losses, proving this peril is a material risk to the industry.”
RMS’ new view of risk is calibrated with the results of the company’s extensive analysis into location-level claims and exposure data, together with thousands of hail and wind observations and radar images from more than 70 new industry events that occurred in the past five years. The new insights will enable re/insurers and brokers to use the model output with confidence in their business decisions.
“The recent outbreak of U.S. severe convective storms have provided us with additional insight into the behavior of tail events. This has enabled us to reduce the uncertainty in the new model’s one in 100 return-period losses and provide an enhanced differentiation of risk between regions,” said Dr. Souch.
The model also incorporates new insights into the spatial nature of hail and tornado strikes to provide a more accurate view of the risk than ever before. Hundreds of new vulnerability curves have also been calibrated with new data to provide model users with greater confidence to write new lines of business or in new locations.
At the core of RMS’ U.S. SCS model is a unique, hybrid methodology that combines the strengths of numerical and statistical modeling techniques with historical data and claims calibration. The methodology enables RMS to fill in the gaps and manage the biases that are associated with incomplete historical data records. This enables model users to evaluate the potential future losses in regions where they have not sustained losses to date to inform their company’s business growth strategies and portfolio planning.
RMS’ China Typhoon model covers losses from storm-surge driven coastal flooding, rainfall-driven flood and wind to provide a complete view of China typhoon risk – a region where flood can contribute up to 80 percent of the total risk.
“The storm-surge potential along the Pearl River Delta and in Hong Kong is underestimated by the industry. This is a region that is experiencing major growth, but much of it is below sea-level,” said Dr. Souch.
RMS' typhoon model includes coastal flood for the entire China coastline. The model embeds a state-of-the-art fully dynamical storm surge model for Hong Kong that takes into account the complexities of the coastline: the water flows in and out of the harbor, including tides and the flood defenses of this coastal city, which represent a major exposure and risk concentration.
“Hong Kong is similar to New York in that it has a combination of high concentration of exposure at risk, a complex coastline, multi-directional water flows associated with the harbor and a network of flood defenses that require very detailed modeling,” said Dr. Souch.
For China, where almost 15 percent of the insured market is under construction, RMS has developed a specialized Builders Risk vulnerability model. The new model helps model users to characterize the unique vulnerabilities of buildings during each phase of the building construction. Underwriters can quantify risk by project type, construction class and construction phase.
Similarly, as a major global industrial manufacturer, China has a growing proportion of large industrial facilities. RMS' industrial facilities model has been developed to enable users to model property damage and business interruption from wind and flood-related Typhoon damage for these high-value complex combinations of construction and vulnerability.
“The 2014 version-modeled losses have been calibrated using 10 years of event loss data from 50 percent of the market. The large amount of industry data sourced for our China Typhoon model has helped to make great strides in reducing model uncertainty,” said Dr. Souch.
Newark, CA – March 22, 2021 – RMS, the world’s leading catastrophe risk solutions company, today announced the forthcoming launch of a new suite of Climate Change Models to help customers assess the near and long term impacts of climate change on physical assets and their businesses, in order to make the best possible risk and financial decisions. According to RMS CEO, Karen White, “Today there are no robust or consistent frameworks that can quantify the physical risks posed by catastrophes in a changing climate at the depth required. The innovative suite of RMS Climate Change Models changes that, giving the market a powerful new set of tools. With increasing Board-level attention, stakeholder scrutiny, and regulatory pressure, businesses need to operationalize climate change analytics to make better decisions and enable better transparency. It is clear that the financial impacts of climate change are not solely a “future problem”. The increasing incidence of wildfires, floods and hurricanes mean that climate change insights need to be incorporated into financial decisions that are being made today, in parallel with long term strategic planning and meeting increasing regulatory, environmental, social and governance (ESG) and TCFD reporting requirements, and investor and customer demands. This necessitates a climate change framework and models fully consistent with today’s catastrophe risk analytics and one which addresses the challenges posed by physical climate change risk and its broad impact across all relevant time scales – from today through to the end of the century.” Most RMS models, including all major peril models, already incorporate the impact of climate change up until now – but more is required to meet the evolving and significant market needs. The new RMS Climate Change Models take our existing capabilities further with forward-looking predictive insights and analysis. The new Climate Change Models empower RMS’s economic modeling framework with the best climate science consensus, including from the Intergovernmental Panel on Climate Change (IPCC). The new models will be generally available in June for major peril models North Atlantic Hurricane, Europe Inland Flood and Europe Windstorm. Further models and geographies will follow this initial model suite launch. The RMS climate change solutions also include climate change specialist advisory and consulting expertise and regulatory, ESG and TCFD support. The Climate Change Models address the perils most impacted by climate change and feature: Probabilistic modeling to capture events across different climate change scenarios The ability to adjust time horizons and Representative Concentration Pathways (RCPs) A proprietary industry and economic exposure database to deliver more accurate and impactful climate change models Embeddable software which integrates into existing workflows to facilitate seamless and easy operationalization Consulting and additional expertise supporting regulatory submissions and activities, and providing insights from these new models today Commenting on the RMS climate change solutions, Eric Letourneau, SVP, Group Head of CAT Accumulation Management, QBE, said: “The insights on climate risk provided by RMS have enabled us to better understand climate-related risks and opportunities for our business, to report those insights to financial stakeholders, and to develop and test strategy for our business. We can embed these analytics in our business processes, confident that we have consistency with how we measure underwriting risk and capital requirements now and in the future.” The new RMS Climate Change Models, data, and analytics empower organizations to: Understand the impacts climate change may have on capital and assets today and in the future Price and manage risks to better reflect changing conditions Confidently communicate risks posed by climate change to all stakeholders Comply with regulatory submissions in an efficient and sustainable way RMS has been modeling natural catastrophe risk for the insurance industry for more than 30 years and has been leading research into the impact of climate change on catastrophic losses since RMS’s involvement in the 2007 4th IPCC Assessment Report. You can learn more about RMS Climate Change solutions here: https://www.rms.com/climate-change
NEWARK, Calif. – March 17, 2021 – RMS®, the world’s leading catastrophe risk solutions company, and TigerRisk Partners, the leading risk, capital, and strategic advisor to the global insurance and reinsurance industry, today announced the expansion of their partnership to include additional models and data in a new multiyear agreement. With this agreement, TigerRisk can now access the full RMS global natural catastrophe risk models suite. This includes RMS High Definition Models™ such as the RMS North America Wildfire HD Models, RMS Europe Flood HD Models, and RMS Europe Severe Convective Storm HD Models. This complements TigerRisk’s longstanding implementation of the RMS natural catastrophe view of risk in the U.S. on RMS RiskLink®. “We are committed to providing our clients with best-in-class solutions as they navigate this volatile risk landscape,” said Rod Fox, chief executive officer of TigerRisk. “Our clients depend on us to help them maintain a competitive edge, and it’s important we work alongside organizations that can help us support their needs. Our expanded partnership with RMS ensures that we can increase the value we bring to our clients and continue to deliver solutions for managing global risk profitably.” Karen White, chief executive officer of RMS, said, “TigerRisk Partners has established themselves as an innovative reinsurance broker and capital advisor firm in the market. As a valued partner of RMS for over a decade, their investment in analytics aimed at providing the best insights and services for their clients mirrors our commitment to the market. We look forward to continuing to support TigerRisk with the most trusted view of risk in the industry as they grow their business and enhance their services.”
Newark, CA – December 15, 2020 – RMS, the world’s leading catastrophe risk solutions company, estimates insured losses from the record-breaking western U.S. wildfires this season will be between US$7.0 and US$13.0 billion. These losses reflect estimates as of December 1, 2020 and represent an update from the previously estimated losses from fires up to September 20, 2020. The ignition of the highly damaging Glass Fire and additional spread of the CZU and LNU Complex Fires represent the most notable activity in California since September 20. RMS insured losses represent estimates from major wildfires in California, Oregon, Washington, and Colorado at December 1, 2020: Region Insured Losses (USD $ bn) as of 1 December, 2020 Northern California Oregon and Washington Colorado 5.0 - 9.0 1.0 - 3.0 Up to 1.0 The RMS estimate includes losses from property damage, including evacuation and smoke damage, business interruption (BI), and additional living expenses (ALE) across residential, commercial, and industrial lines. Smoke and evacuation are expected to be significant contributors to losses for the wildfires this season, contributing about 20 percent of losses in California and Colorado and about 35 percent in Oregon and Washington. The estimate also accounts for notable post-event loss amplification (PLA) from property damage (25 to 30 percent) and business interruption/ALE (up to 100 percent or greater). The RMS loss estimate is based on detailed modeling of fire spread, ember accumulations, and smoke dispersion of the fires utilizing the U.S. Wildfire High-Definition (HD) Model, part of the North America Wildfire HD Model suite, released in February, 2019. The model covers the entire contiguous U.S. and explicitly simulates ember and smoke to support detailed analysis of the impact of a wildfire beyond historical fire perimeters. The model’s findings were supported by Damage Inspection Specialist (DINS) damage surveys for California Fires, published damage reports from federal and respective state agencies for the Oregon, Washington, and Colorado fires, and the RMS U.S. Wildfire Industry Exposure Database. Michael Young, Vice President, Product Management said: “2020 represents the most destructive fire season on record, in terms of burn area in California. Since August, 69 major fires that exceeded 1,000 burned acres each, have burned so far. Five of the six largest ever California wildfires have occurred in 2020, with over 4.4 million acres burned in total to date. While fires earlier in the season were dominated by ignitions sparked by the intense lightning storm in August, extreme wind-driven fires dominated the last few months. A similar phenomenon resulted in record-breaking fires in Oregon as well this season, with over 20 major fires driven by extreme winds, burning more than 1.2 million acres so far. In October, Colorado experienced its three largest destructive fires with more than 24 major fires burning 850,000 acres in total. Rajkiran Vojjala, Vice President, Model Development said: “This wildfire season reaffirms the growing catastrophic nature of this peril. Wildfire risk is clearly evolving, not only in California, but also in other states, as we observed in Oregon and Colorado. While changing climate patterns have significantly influenced the record-breaking fires this season, several other factors also profoundly affected the ignition potential and expected losses from these events in different ways. Most notable amongst them are the Public Safety Power Shutoff (PSPS) measures undertaken by utilities, preparedness and response of firefighters in Northern California despite COVID-19 challenges, and recent legislative actions governing wildfire claims settlement such as the California Senate Bill 872. RMS is currently engaged with various stakeholders in evaluating these factors and understanding their impact on the emerging risk profile of this peril as part of its wildfire modeling agenda.” END The technology and data used in providing this information is 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. RMS SPECIFICALLY DISCLAIMS ANY AND ALL RESPONSIBILITIES, OBLIGATIONS AND LIABILITY WITH RESPECT TO ANY DECISIONS OR ADVICE MADE OR GIVEN AS A RESULT OF THE INFORMATION OR USE THEREOF, INCLUDING ALL WARRANTIES, WHETHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO, WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. IN NO EVENT SHALL RMS (OR ITS PARENT, SUBSIDIARY, OR OTHER AFFILIATED COMPANIES) BE LIABLE FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES WITH RESPECT TO ANY DECISIONS OR ADVICE MADE OR GIVEN AS A RESULT OF THE CONTENTS OF THIS INFORMATION OR USE THEREOF.