Science, Technology, Insurance
As an authoritative resource in stochastic risk modeling, mathematical biology, and epidemiology, LifeRisks combines modeling science, technology, and insurance expertise.
Forward-Looking Mortality Model
Detailed analysis of "vitagions" – drivers of mortality improvement – provides a framework to project medium- and long-term dynamics of mortality trends.
Understand Extreme Mortality
Combine the latest infectious disease modeling alongside individual perils that cause mortality shocks such as terrorism and earthquake, to deliver insightful causal analysis.
Drill down into model results to understand risk drivers and identify scenarios that represent key loss thresholds.
Independent and Impartial
Moody's RMS provides impartial risk analysis, as our models support insurers, reinsurers, intermediaries, and the capital markets.
Keep informed about the COVID-19 pandemic and its implications for the risk management industry. Visit the dedicated COVID-19 resources hub page, with a range of resources from webinars and reports to explore.
Swiss Re Chooses Moody's RMS for Pandemic Risk
Moody's RMS was selected by Swiss Re for the 2020 reissuance of its excess mortality bond (‘Matterhorn’). Moody's RMS models provided in-depth insights into the risk of extreme mortality from a variety of perils, most notably pandemics and terror attacks. The bond was well-received by investors, taking Swiss Re’s protection from the Matterhorn program to US$855 million.
Regional and Country LifeRisks Models
RMS® lives at the intersection of modeling science, technology, and the insurance industry. We are recognized authorities in stochastic risk modeling, mathematical biology, and epidemiology. For over 10 years RMS LifeRisks® models have provided leading decision-support risk analytics to the life insurance industry.
Coronavirus Blog Series
Review the latest COVID-19 blogs from pandemic risk and medical experts at RMS
COVID-19 Assessment Report
RMS looks at the spread and overall mortality using the RMS Infectious Disease Model
Reimagining the 1918 Pandemic
Ask any child, a world without Walt Disney would be unimaginable. Born in December 1901, Walt was sixteen years old when he caught the 1918 pandemic influenza — and survived. A century has passed since the great 1918 pandemic, in which tens of millions died, the deadliest in history. When an anniversary of a major event comes round, we can ask what if the event were to occur today. Catastrophe modelers can also reimagine the event being different from what it actually was. This counterfactual perspective lead...
Ebola Virus Disease: 2018-2019 DRC
Ebola Virus Disease continues to be a public health threat to tropical central and Western African countries.
Civil War Drives the Spread of Ebola
The worst outbreak of Ebola in the DRC (Democratic Republic of Congo), Africa’s second largest country by area, with a population of over 77 million, has already claimed several hundred lives, and there have been more than three hundred and fifty cases. Many of the Ebola cases have been in Beni (pop. ~230,000), a major city in North Kivu province, close to the Ugandan border. DRC is a failing state, where the government regime is weak, and cannot prevent militias from pillaging DRC’s abundant mineral resource...
NHS Funding and the Hope of Living Longer
On March 13, 2019, the U.K. Chancellor of the Exchequer, Philip Hammond, warned in the House of Commons during his Spring Statement, that a “… cloud of uncertainty was hanging over the U.K. economy.” Reminiscing of a sunnier time for the U.K. economy, in the Budget speech in March 2000, Gordon Brown announced a substantial increase in government spending on healthcare. The Chancellor’s ambitious plan was that health spending would rise by more than a third in real terms over a five-year period, by...
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