Purpose-built for stochastic valuation, Atlas is dramatically faster than legacy models when calculating IFRS 17 reserves. This gives you more running room to perform sensitivity analysis, stochastic-on-stochastic forecasts, and the other analytics you need to run your business — without making compromises.
And in a cloud computing environment, faster runtimes translate directly to cost savings.
Atlas’s unique inheritance structure allows you to configure your models once, modifying only those few assumptions that change for your particular purpose. So additional demands created by IFRS 17 — calculating risk-adjusted values alongside best estimates, calculating disclosure sensitivities, and attributing period-to-period changes in reserves — are straightforward to set up and maintain.
Our existing Atlas clients have implemented IFRS 17 seamlessly; let us show you the benefits too.
Clients who want to keep their legacy valuation systems in place can benefit from policyholder compression. We can reduce your input policyholder record counts between 100:1 and 500:1, making your actuarial models run commensurately faster, with high fidelity across the projection period. Our clients often experience annual operating cost savings measured in millions of dollars.
Stoch Analytics’s policyholder Compression toolkit and service can be employed with your existing valuation architecture. It can be implemented on-premises in your environment, or run as a service on our web-based platform, to meet your organization’s unique requirements.
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Contact us to learn more about how Stoch Analytics
can help you navigate the stochastic world