SRCC Predictive Model
The market’s first predictive SRCC data solution – global in scope, granular in detail
What it does
Building on our extensive experience in quantifying political violence, the SRCC Predictive Model is unlike anything else currently in the market.
- Predicts the severity of SRCC events for all admin 2 areas globally
- Engages machine learning, advanced algorithms, and geospatial analytics to provide granular and forward-looking data insights into the global SRCC risk landscape
- Validates predictions using data on actual insured losses
- Integrates historical protests, alongside demographic, economic, climate and political risk data to highlight hotspots of risk
Country level SRCC forecast
Historic protest size at admin 2 level
Concentration of people & economic value at admin 2 level
Admin 2 SRCC score
Benefits
Look forward, not back
Quickly identify portfolio exposure to future SRCC events using a data-driven predictive approach, instead of inconsistent, often qualitative, time-intensive, historical assessments
Price with confidence
Make better, more informed decisions and price policies with confidence using a quantitative assessment of SRCC risk validated against actual loss data
Prepare and protect your book
Better define your risk appetite, anticipate future SRCC related losses and control exposure by setting appropriate limits and capacity
Identify opportunity
Improve visibility on frequency, location, and size of SRCC events, revealing opportunities to underwrite new Political Violence/SRCC policies
Intelligent SRCC coverage
Capture gains and savings by creating intelligent and bespoke coverage for policy holders by using a more granular view of SRCC risk
Access with ease
Easily integrate into your Political Violence/SRCC workflows via API or Verisk platforms (Touchstone / Sequel Impact), which can be used to assess exposure accumulation
How the SRCC Predictive Model helps you succeed
Underwriters
Perform quantitative assessments of SRCC risk to help price and review premiums, ensure written risks adhere to exposure limits or carve out relevant risks
Exposure Analysts
Undertake assessments of future SRCC risk to your portfolio to help determine and set exposure limits, anticipate losses and refine PML (Probable Maximum Loss) estimates
Modellers
Use forward-looking data to forecast risk 12 months in advance and model SRCC exposure
Specialty Reinsurers
Assess the potential risk of SRCC events, informing scope and price of reinsurance cover
Brokers
Use granular location data to help quantify SRCC scope and inform, with confidence, on the SRCC risk profile for insurance and reinsurance cover
Would you like to learn more about how the SRCC Predictive Model can help you? Speak to our experts and request a demo today.
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