Catastrophe modeling
Fathom’s global catastrophe model provides a consistent view of risk across the globe and all flood perils. This empowers risk professionals to quantify and manage financial risk associated with extreme events.
Catastrophe models are used primarily by the insurance, corporate and financial market sectors to understand their risk and model financial losses across their portfolios.
With severe natural catastrophes becoming more frequent, severe and costly, it is more important than ever to quantify potential losses and manage risk. And, as regulatory requirements around climate risk mount up, catastrophe modeling is crucial for helping organizations to understand both future and present risk.
Fathom’s approach to catastrophe modeling
Fathom started as a global hazard modeling company and over time has become increasingly interested in the quantification of risk. We first began exploring spatial dependence methods in ~2016. Our catastrophe model is the result of decades of academic research into stochastic modeling and global datasets. It works by simulating millions of events over thousands of years, characterizing and assessing an organization’s exposure and vulnerability. It quantifies the potential losses via a range of metrics, including average annual loss (AAL) and exceedance probability.
Discover more about Fathom’s catastrophe models – how they are made, and the methods and datasets that go into building them. Watch our Global Flood Cat launch webinar for a deep dive, from the team behind the model, into the making of Global Flood Cat.
Global coverage of inland and coastal perils
Fathom’s leading cat model is underpinned by the most comprehensive and technologically advanced hazard data available. It is built on our highly-accurate FABDEM+ terrain data that drives our award-winning Global Flood Map. The first of its kind to calculate the financial loss driven by all flood perils, both inland (pluvial and fluvial) and coastal, Fathom’s Global Flood Cat provides an enhanced, globally consistent view of risk.
The importance of assessing catastrophe risk
There were a record-breaking 142 natural catastrophe events in 2023, leading to approximately $280 billion in insured losses. It was the high frequency of extreme events that drove these losses and, as the climate changes, this driver of losses looks set to grow.
Organizations across sectors now recognize the increasingly urgent need to assess, manage and quantify risk, particularly of secondary perils such as flood.
Insurance industry
Climate change and socio-economic shifts have driven a sharp increase in global insured losses in recent years. Fathom’s multi-peril global catastrophe model is a customizable toolkit that enhances insurers’ view of risk. Use cases include underwriting and pricing, accumulation modeling and risk limit compliance.
Financial markets
Catastrophe models are used in the financial markets sector to assess and quantify risk to assets and investments. Fathom’s Global Flood Cat assesses risk across geographic locations, including data-scarce developing markets, and uses tailored financial metrics to quantify risk for a range of asset types, whether industrial, residential or commercial.
Engineering
Engineering consultancies need to understand the financial risk behind their projects. Our global flood catastrophe model arms them with granular evidence to reinforce and inform decisions around site location, portfolio analysis, feasibility reviews and acquisition plans.
Flood, wind and fire: a multi-peril approach
Flood, wind and wildfire are often referred to as ‘secondary’ perils, but the impact they can have on the insurance and financial markets is substantial, driving significant losses globally.
- Floods and tropical cyclones were the two largest drivers of economic losses in 2023
- Wildfires caused $893 billion worth of damage in the US alone.
Natural catastrophes are often multi-peril, and to improve understanding of risk hazard data needs to be integrated and combined to produce a comprehensive approach. That’s why Fathom is working with several partners towards a science-first understanding of climate risk and combined perils.
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