NEWARK, Calif. - July 21, 2017 RMS, a global risk modeling and analytics firm, today announced that IRB Brasil RE, the leading reinsurer of the Brazilian market, as well as in the agriculture sector, has licensed the RMS® China Agricultural Model and RMS® India Agricultural Model to increase its footprint within the global reinsurance market.
The RMS China and India agricultural risk models deliver a holistic view of exposures to generate more accurate regional analytics and facilitate risk transfer. The RMS models enable users to gain greater insight into possible loss distributions by extending beyond the observed historical loss record, applying probabilistic risk modeling to simulate future potential loss events.
Laurent Marescot, senior director, model product management at RMS said: “Today’s actuarial techniques to manage agriculture risk are increasingly challenging to use, whether that’s employing non-stationary trends in data and a limited historical loss record or keeping abreast of the changes in agriculture management practices and climate evolution. That today’s models must address a broader range of industry needs is key as we continue to expand our suite of RMS Asia-Pacific and global agricultural risk models to help enhance the risk management chain as a whole, from underwriting to portfolio management.”
In China, RMS can model all insurable products (more than 70 for crops), in addition to forestry and livestock. Companies seeking to participate in China’s agriculture insurance schemes can create a more customized approach as the model includes a comprehensive database with the latest insurance terms and conditions, which vary between province and lines of business. The RMS model for India allows for improved understanding of over 70 main crop types in two seasons and is fully compatible with the new Pradhan Mantri Fasal Bima Yojana (PMFBY) scheme introduced in 2016. The China and India models allow for disaggregation from low-resolution exposure to higher resolution, helping (re)insurers better differentiate specific risk in their portfolios.
Miguel Fonseca de Almeida, head of agriculture at IRB Brasil RE, said: “To better compete with reinsurers in the Asia-Pacific reinsurance market, it is crucial that we employ the most advanced and up-to-date modeling and analytics solutions. The RMS China and India Agricultural Models provide us with the necessary foundation to better understand and manage risk in our international agriculture portfolios and will enable us to maximize our global business profitability.”
For IRB Brasil RE, strengthening its ties to the Asia-Pacific region is a strategic priority as China and India represent the two largest markets worldwide for agriculture insurance. By using the RMS agricultural risk models, IRB Brasil Re intends to gain a competitive edge as it continues to grow its global agriculture portfolios.
Victor Roldán, regional head for Latin America at RMS, said: “The RMS China and India Agricultural Models are the first of their kind and will enable our clients in the Latin America region and around the world to take advantage of the significant growth opportunity presented by this segment. Empowered with the only China and India agricultural models that can offer umbrella and whole accounts in portfolio analyses, our clients will benefit from superior portfolio analytics capabilities to support better risk management practices.”
RMS will continue to develop its risk modeling and analytics tools for the Asia-Pacific region to support growth of its local and global clients looking to expand their portfolios. The RMS China Agricultural Model and the RMS India Agricultural Model are the latest in the suite of RMS emerging risk solutions.
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.
London, UK – 23rd Nov, 2020 – RMS, the world’s leading catastrophe risk modeling company, collaborated with Willis Re Securities and Securian Financial to launch the new La Vie Re Limited (Series 2020-1) mortality catastrophe bond providing US$100m of reinsurance protection for Minnesota Life Insurance Company, a Securian Financial affiliate. RMS acted as the modeling agent on the cat bond transaction, providing a view of the risk covered by the bond to investors. RMS used its suite of excess mortality and morbidity models, covering infectious disease pandemics, terrorism, earthquakes, and other perils, including a contribution to the expected loss from the COVID-19 pandemic. Covering the U.S., this is the first indemnity 144A excess mortality bond that models the cedants’ portfolio on a loss ratio basis. The notes being issued by La Vie Re were launched to cat bond investors, and the full US$100m principal was achieved with a coupon price of 2.85%. Jin Shah, Client Director, RMS, said: “Investors have warmly welcomed Securian Financial as a new sponsor to the ILS market. Likewise, RMS is pleased to support another new issuer secure reinsurance protection from the ILS market with a novel structure and trigger. Using our life risk modeling capabilities, RMS developed an indemnity trigger on loss ratios and supported investors’ understanding of the risk, especially on the contribution from the current COVID-19 pandemic. The pandemic outlooks reflect the latest research on vaccine availability, efficacy and distribution, and how this may mitigate the impact of a second, winter wave of COVID-19 infections threatening regions where strict social distancing measures have been relaxed. It was a pleasure to collaborate with Securian Financial and Willis Re Securities and it’s great to see the ILS market continue to support innovation in the market.”
Newark, CA – November 4, 2020 – RMS, the world’s leading catastrophe risk solutions company, estimates total onshore U.S. insured losses from Hurricane Zeta to be between US$3 and US$5 bn. The estimate includes losses to the National Flood Insurance Program (NFIP) of between US$200m and US$300m. U.S. insured loss estimates for Hurricane Zeta (US$ bn): Wind + Surge NFIP Total 2.8 - 4.7 0.2 -0.3 3.0 - 5.0 This estimate includes wind and storm surge losses across the impacted states, including Louisiana and Mississippi, based on analysis of RMS ensemble footprints in Version 18.1 of the RMS North Atlantic Hurricane Model. RMS ensemble footprints are reconstructions of Zeta’s hazards that capture the uncertainties surrounding observed winds and storm surge. Losses associated with inland flooding are expected to be negligible, due to Zeta’s fast forward speed post-landfall, which kept high rainfall totals to isolated areas. The RMS estimate includes a 5% reduction in insured onshore losses due to the cumulative impacts of Hurricane Sally, which damaged some of the same region earlier this season. “We do expect some overlap between Zeta and Sally as the industry settles losses from these two events, but not to the degree of Delta and Laura a few weeks ago. Our Development Team found that approximately 20% of zip codes impacted by Zeta were also impacted by Sally, particularly at lower wind speeds. The overlap in the worst-affected areas of these two storms appears to be minimal. Thus, we expect a smaller loss reduction factor compared to the Delta and Laura events, largely attributed to structures in the overlapping region that sustained some, but not total damage from Sally, followed by additional damage from Zeta,” 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. “Power outages and treefall-driven impacts were two key factors in Zeta. The storm’s fast forward speed brought damaging winds well inland, particularly in areas with an abundance of trees, including metro Atlanta. This, combined with already saturated soil conditions, led to one of the most significant power outages of the season. Some fallen trees also directly damaged buildings and vehicles. We expect these factors to amplify insured losses.” said Rajkiran Vojjala, Vice President, Model Development. The estimate also includes losses to the NFIP in the range of US$200 million to US$300 million. NFIP losses were derived using the RMS view of NFIP exposure based on 2019 policy-in-force data published by the Federal Emergency Management Agency (FEMA), and the Version 18.1 North Atlantic Hurricane Models. In Mexico, RMS estimates insured losses from Zeta to be minimal. However, consistent with previous impactful tropical cyclone events this season, overall insured losses constitute a fraction of the total economic losses, particularly in Mexico which has significantly lower rates of insurance take-up compared to the U.S. Additionally, RMS estimates insured losses to offshore platforms, rigs, and pipelines in the Gulf of Mexico to not exceed US$500m from wind and wave-driven damages. While platforms in the Central Gulf of Mexico are built with higher deck heights to negotiate wave hazard, Zeta exposed a significant number of state lease platforms to high winds and waves along the Louisiana coast. Offshore losses are based on the October 2020 vintage of the RMS Offshore Platform Industry Exposure Database. Zeta made landfall near Cocodrie, Louisiana on Wednesday, October 28, 2020 as a Category 2 hurricane on the Saffir-Simpson Hurricane Wind Scale. At landfall, Zeta produced sustained winds of 110 mph (177 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. Consistent with several previous events this season, the landfall location and timing were well forecast by the HWind forecasting products more than 72 hours before landfall. “Despite encountering cooler waters and strong wind shear in its approach, Zeta managed to intensify before making landfall in Louisiana, nearly achieving major hurricane status. The storm’s fast forward motion–common for events that occur later in the season–reduced material water-driven impacts along the Gulf coast. However, that rapid movement brought hurricane-force winds well inland before Zeta finally weakened. In this unprecedented 2020 season, Zeta is another reminder that the season is far from over,” said Pete Dailey, Vice President, Model Development. Hurricane Zeta was the twenty-seventh named storm of the 2020 North Atlantic hurricane season, the eleventh hurricane, and the sixth U.S. landfalling hurricane of this extremely active season. Zeta was the eleventh named storm to make landfall in the contiguous U.S. so far in 2020, and a record-breaking fifth named storm of 2020 to make landfall in Louisiana. One month remains in the Atlantic hurricane season, ending officially on November 30. RMS industry loss estimates for landfalling U.S. hurricanes are comprehensive, reflecting modeled and non-modeled impacts from all major drivers of damage, including wind, storm surge, and inland flooding. ENDS 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. 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 CONTENTS OF THIS 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.