Verisk Releases First-of-Kind Predictive SRCC Data Model for Political Violence Insurers
Developed for political violence underwriters, exposure analysts, modellers, and specialty reinsurers as part of the Lloyd’s Lab accelerator programme, Verisk Maplecroft’s new SRCC Predictive Model offers insurers an entirely new approach to how they assess and price these risks and is unlike anything currently available to the market.
“Insured losses linked to major bouts of unrest have reached new highs in recent years, while our data tells us that in the last 12 months, SRCC risks have risen in over 50% of countries,” says Verisk Maplecroft’s Head of Risk Analytics,
Building on Verisk Maplecroft’s extensive experience in quantifying political violence, the model provides 12-month forecasts for 50,000 counties and districts globally on the risk of severe protests occurring that could result in insured losses. The machine learning model validates its predictions against actual insured losses and draws on geospatial data covering the size of recent protests, concentrations of economic value, demographics, and a range of political risk, climate, and socio-economic indicators.
As part of Verisk’s growing suite of sustainability and resilience exposure analytics, which includes extreme event models and global geospatial datasets covering the full spectrum of ESG and political risks, the SRCC Predictive Model will help political violence insurers:
- Improve visibility on the frequency, location, and size of SRCC events
- Make better, more informed decisions to price policies
- Quickly identify portfolio exposure to unfolding SRCC events
- Anticipate potential future SRCC related losses
Unforeseen losses, alongside ongoing global political and economic uncertainty highlights the insurance industry need for enhanced solutions to help it anticipate where large-scale, damaging events may take place. Historical findings from the model shows that SRCC risks have generally worsened in all regions over the past two years except in the
Access to the SRCC Predictive Model and its underlying data is available via
Learn more about the SRCC Predictive Model.
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As organisations strive to understand and adapt to a fast-moving world,
For more information visit: www.maplecroft.com
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Media contact:Jason McGeown Head of CommunicationsVerisk Maplecroft Tel: +44 (0)1225 420000 E: press@maplecroft.com
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