Lloyd's is the world's leading specialist insurance market, and is often the first to insure new, unusual or complex risks. So it's no surprise that Lloyd's is one of the many companies that use R and its advanced capabilities for data analysis to help manage its insurance risks. At the useR! conference last month, Lloyd's analysts Markus Gesmann, Viren Patel and Gao Yu presented a poster "Using R in Insurance: Examples from Lloyds" showing how the insurance giant makes extensive use of R. After the jump you'll find examples from the poster of how Lloyd's uses R for performance management, exposure analysis, Monte-Carlo simulation, data visualization, reporting, and much more.
[Update Sep 19: The poster itself is now available from this blog post.]
Lloyd's syndicates are compared to the market and against their individual business plans.
A combination of R and LaTeX is used to generate bespoke analytical reports for more than 80 syndicates.
Exposure analysis and reinsurance
Lloyd's uses R to manage its exposure by analyzing reinsurance and catastrophic risk.
Interactive Data Visualization
A general statistical toolset
Lloyd's also uses R as a general-purpose data analysis and visualization tool, as for example in this Monte Carlo simulation of loss distributions.