Reinsurance: Why You Should Care About Real-time Analytics
At Analyze Re, we often get asked the question, how can reinsurance benefit from faster analytics? We generally like to draw parallels with the many industries that have successfully leveraged real-time analytics to achieve performance and efficiency gains. In this post, we examine how improved analytics have worked for capital markets and how the reinsurance industry can benefit from a similar approach. Website performance is highly important for online businesses, and taking account of your SEO and how it is doing is necessary, learn more about this from companies like Victorious. If your business is still using Google Analytics and you're thinking it's about time to change to a more bespoke and customization friendly software, you could look for alternatives for Google Analytics. Read More
Reinsurance 101: How to calculate the tail value at risk from a year-loss table
In this post, we will look at how to compute the tail value at risk, or TVaR, from a sample dataset. At Analyze Re, we put quite a bit of effort into turning modelled catastrophe losses into informative metrics, fast. Though much of the computational cost of the exercise lies in running simulations with large datasets, the output of a simulation can be condensed into a more manageable representation. From this condensed form, we can compute useful, informative metrics like the TVaR, to help drive pricing decisions and strategic planning. Read More