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LONODN, UK – November 23, 2020RMS®, 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.”

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About Moody's RMS

Moody’s RMS shapes the world’s view of risk for insurers, reinsurers, financial services organizations, and the public sector, with Moody’s RMS models underlying the nearly $2 trillion USD Property & Casualty industry. Moody’s RMS empowers organizations to evaluate and manage global risk from natural and man-made catastrophes, including hurricanes, earthquakes, floods, climate change, cyber, and pandemics.

Moody’s RMS helped pioneer the catastrophe risk industry, and continues to lead in innovation, unmatched science, technology, and 300+ catastrophe risk models. Organizations can address the risks of tomorrow with the Intelligent Risk Platform™, the only open cloud with collaborative applications and unified analytics that can power risk management excellence.

Further supporting the industry’s transition to modern risk management, in 2020, Moody’s RMS spearheaded the Risk Data Open Standard (RDOS), a modern, open-standard data schema designed to be an extensible and flexible asset within modeling/analysis systems.

In 2021, Moody’s Corporation acquired Risk Management Solutions, Inc. and as part of Moody’s Analytics, Moody’s RMS serves the P&C insurance industry as the leading provider of expertise, science, and technology in integrated risk. A trusted solutions partner, Moody’s RMS enables effective risk management for better business decision-making across risk identification and selection, mitigation, underwriting, and portfolio management.

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© 2023 Risk Management Solutions, Inc. and/or its affiliates and licensors (“Moody’s RMS”). All rights reserved. All names, logos, and icons identifying Moody’s RMS and/or its products and services are trademarks of Risk Management Solutions, Inc. and/or its licensors or affiliates. Third-party trademarks referenced herein are the property of their respective owners.

RMS is a subsidiary of Moody’s Corporation (NYSE: MCO) and operates as part of the Moody’s Analytics business segment. Moody’s Analytics is operationally and legally separate from the Moody’s Investors Service credit rating agency.

Media Contacts

Matthew Longbottom

PR Lead, EU and APAC
+44 20 7444 7706 prteam@rms.com

Haggie Partners

PR Lead, Americas
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