Today we would like to introduce the Insurance Technology startup ecosystem. As of right now, we are tracking over 465 companies in 13 categories across 46 countries, with a total of $3.54 Billion in funding.
Read the full article here.
Rick Huckstep of Daily Fintech chatted to us in September on how new approaches to technology can help companies to significantly up their game.
Read Rick's article here.
Is optimization really a tool that can help a (re)insurer improve their portfolio? Are these types of exercises a futile attempt to create a theoretical position a company could be in? In truth, the question of whether an optimization approach to planning (algorithmic or otherwise) will be achievable or not comes down to the question of whether you, as a company, are able to express your corporate goals and constraints with the right level of detail. Here we will review several things a company may need to consider in attempting to “ask the right question” for an optimization exercise.
Using capital market analytics to model the impact of changing market conditions on reinsurance portfolios can give companies a significant competitive advantage.
At Analyze Re, we often get asked the question, how can reinsurance benefit from faster analytics? We generally like to draw parallel with the many industries who 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. Read More
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