NEWARK, Cali. - July 18, 2018 RMS, the leading global risk modeling and analytics firm, announces the release of Version 4.2 of the RMS Probabilistic Terrorism Model (PTM) and the update in RiskLink Version 18 of the RMS Terrorism Scenario Model (TSM). This update will equip terrorism model licensees with the tools they need to address both recent trends in the threat landscape like the rise of lone-wolf attacks and market challenges such as understanding the geography spread of risk within major cities.
The terrorism model update includes the following components:
• Refinements to the Terrorism Target Database for US, UK, and Belgium
• Updates the conditional probability of a terrorist attack (by target category and attack mode) based on attack and threat group data in US, UK, Canada, Italy, Denmark and France.
• Addition of Belgium (Brussels area) - PTM now includes the greater Brussels area, with 228 targets and 2,845 events.
The update to the Terrorism Target Database includes the addition of new targets to reflect the construction of new, high-profile, urban properties as well as the removal of targets that no longer meet the criteria for target selection. There are also refinements in the latitude and longitude coordinates of key attack points.
The increase in lone-wolf attacks at soft targets, such as hotels and transportation hubs, continues to be the focus of Islamic militants, given these targets are relatively unprotected due to their public access. Night clubs and other afterhours venues remain an attractive target, as these establishments are often tightly packed with crowds of people with limited exit routes, therefore enabling mass casualties. For these reasons, RMS expects more plots against these types of targets and has added a specific category to the US PTM and US TSM models.
RMS also has added all hotels under the Trump Organization in New York City and Washington DC to the US terrorism target database as there have been an increased threat of attack to these establishments since Donald Trump assumed the U.S. presidency in 2017.
In the UK and Belgium, the release updates the target database in the greater London area and in Brussels to reflect construction of new targets and removal of targets with diminished risk. The models now cover over 4,600 targets across the US, UK and Belgium; such as foreign consulates, government buildings, train stations and tourist attractions.
Although overall plot and attack frequency remain unchanged in US, UK, Canada, Italy, Denmark, and France, this release updates the conditional probability of various attack types to reflect the current risk landscape. Based on recent plots, the incidence of armed attacks as a preferred mode of attack has increased. To comply with this scenario, we have reduced the relative likelihood of conventional bomb attacks and increased the likelihood of armed attack in these countries.
These model updates are part of the wider launch of Version 18, RMS catastrophe risk management software. Based on the latest science, innovative methodologies and analytics, Version 18 expands global capabilities to deliver new and updated modeling insights to support profitable portfolio growth.
Gordon Woo, Catastrophist, RMS, said: “The global terrorism landscape is continually evolving. Numerous factors contribute to an increased or reduced risk outlook, both in terms of terrorist threat and the preparedness of governments and counter-terrorism initiatives. Persistent intelligence surveillance and diligent law enforcement action make it hard for terrorist plots involving multiple operatives to avoid detection. While this may reduce the risk of large-scale, coordinated attacks, it also increases the risk of lone-wolf attacks.
“We understand that it is important that our clients have the most up-to-date reliable information possible; they know and expect RMS will deliver this, and will continue to support them across all their modeling needs.”
Notes to Editors:
What is new in Version 18?
Terrorism: Updated scenario model including updates to targets database for US, UK and Belgium; updates to hazard footprints and changes to the default time of day, to react to changes in peak times across different occupations.
Australia Cyclone: Model update includes the most recent market and meteorological data and lessons learned from recent events, such as Cyclone Yasi in 2011, Cyclone Marcia in 2015 and Cyclone Debbie in 2017. The update also accounts for the rise in properties at risk, with the number of dwellings within 200km of the coast increasing by 15% between 2006 and 2016.
Australia Earthquake: Model update reflecting the latest scientific view of seismic hazard by incorporating data from the 2018 national seismic hazard map from Geoscience Australia. Updated event rates and ground motion models, combined with insight from local experts, provide the most up-to-date view of seismic risk in the country.
Philippines Typhoon: The Philippines is one of the most disaster-prone countries in the world, with around 20 cyclones per year, and eight of these making landfall. New model capturing risk from wind and flooding, coastal storm surge and season precipitation-driven flooding. The model expands the RMS suite of climate modeling solutions to the Philippines.
India Flood: New fully probabilistic Flood model. Flooding is the most significant natural hazard affecting India, comprising of about three-quarters of natural catastrophe losses. The new model combines the latest science with local engineering expertise, with an event set based on 125,000 events across 9,033 catchments throughout India; accounting for monsoon rainfall and expanding areas of impermeable ground in major cities such as Mumbai, Chennai and Delhi.
India Earthquake: Update with high resolution geotechnical information for hazard amplification to differentiate risk. Over a thousand vulnerability functions are included with additional solutions for underwriting key exposures such as industrial facilities, buildings under construction, and marine cargo and specie risks. The financial model includes additional losses from landslide and liquefaction hazards.
South Korea Earthquake: New model model covers ground shaking, liquefaction, and landslide risk, enabling users to comprehensively assess earthquake risk in South Korea. While events in this region are relatively rare, they have the potential to be damaging. In 2016 the Mw 5.4 Gyeongju Earthquake hit and in 2017 the Mw 5.4 Pohang Earthquake occurred close to the city of Pohang, damaging more than 23,000 buildings.
Marine Cargo: Update allowing detailed insight into cargo fragility and exposure accumulation, enabling the identification of vulnerable concentrations of static cargo, the measurement of port accumulations, and the analysis of loss severity for key events.
North America Hurricane: Storm surge update incorporating new methods and data made available since the last U.S. storm surge model update. This enhances risk differentiation between defended and undefended areas prone to storm-surge. Also included are defense assumptions and wave treatment within the storm surge hazard module, as well as basement functionality and first floor height assumptions within the vulnerability module.
Post Loss Amplification: Post Loss Amplification (PLA) has been added for all the updated and new models. PLA captures the potential for losses after severe events to be higher due to the impact of claims inflation, economic demand surge as well as super catastrophes.
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 – October 27, 2020 – RMS, the world’s leading catastrophe risk modeling company, announces the appointment of Patrick (Pat) McCarthy as Executive Vice President of Sales and Client Development, with immediate effect. Pat will lead this global organization for RMS, and brings a successful track record of delivering meaningful innovations and high-value solutions to some of the world’s most revered enterprises. Pat joins RMS from SAP, where most recently he was Senior Vice President and General Manager of SAP’s Ariba and Fieldglass businesses, focused on enterprise supply chain optimization and risk reduction. He also supported customers as they moved from legacy solutions to SaaS, always with an eye on value creation. Pat had been at SAP for 15 years in various senior roles including as COO for a large part of the US business, the Midwest Market Unit. Prior to SAP, Pat spent seven years at Oracle in various leadership roles spanning sales, industry, and solution roles in its JD Edwards and PeopleSoft businesses. Pat started his career with ten years at Frito-Lay and Pepsi-Co, where he held several management roles. Pat will report directly to RMS CEO, Karen White. Karen White, Chief Executive Officer at RMS, said: “Pat is joining at an exciting and challenging time in our industry and at RMS. He is exceptionally strategic and has earned his stellar reputation for bringing mission-critical innovations and solutions to global customers. Pat’s impressive approach to deeply understanding the markets and enterprise customers he serves, with an eye on helping them to innovate and on their business outcomes, is aligned with RMS’s mission to be a strong strategic partner for our customers. Pat’s formidable experience supporting global customers as they leveraged leading-edge technology and solutions to advance their businesses will be a great asset to RMS and the customers we serve.” Pat McCarthy added: “I’m very excited to be joining RMS as it’s an honor to work for a company so focused on building resilience into businesses and economies. For 30 years, RMS’s science and models have been the most trusted view of risk in the industry. It’s more important now than ever before that clients have access to the best modeling science and platforms, helping them drive business results that exceed their expectation. I’m pleased to be leading a team that continues to leverage our core strengths and simultaneously maps out a future with our clients that leverages innovations and the latest science as we tackle the future of risk.”