NEW YORK, NY, UNITED STATES, January 17, 2025 — Stoch Analytics Limited, an actuarial software company, today announced key updates to support the incoming Valuation Manual Section 22 (VM-22) statutory reporting standard in the United States.
VM-22 is expected to significantly increase insurer’s computational demands, mandating stochastic valuation frameworks for life insurance products with no, or limited, equity exposure.
"Our team has a long track record of providing the most powerful CPU driven actuarial models for stochastic applications, so we had a very strong starting point in adding VM-22 specific capabilities. Two areas we focused on are to provide FIA writers with a fast and cost-effective solution as well as creating a dedicated module to support the PRT market" said Chris Stiefeling, CEO and Cofounder of Stoch Analytics.
The updates will provide customers with an out-of-the-box solution for VM-22, including
“We are excited that we can help ease insurers VM-22 implementation pain in two ways: (1) they can consider moving blocks of business to ATLAS for unrivalled seriatim compute power on CPU, or (2) they can use our inforce compression service, alongside their existing actuarial software, to achieve compression ratios in excess of 300:1 while accurately replicating liability and asset results versus seriatim runs” said Ricky Power, Chief Growth Officer of Stoch Analytics. “A number of customers are already kicking the tires on the new VM-22 enhancements in ATLAS and we expect many more demos and trials to kick off early in 2025 as companies look to adopt VM-22 at their earliest opportunity.”
At Stoch Analytics, we deliver industry-leading modeling solutions to help life insurers navigate the stochastic world. Our flagship Atlas actuarial modeling suite has been in production at top insurers around the globe for more than 20 years. Formerly part of Oliver Wyman, we opened a new chapter by establishing Stoch Analytics in 2023, enabling us to focus on providing software and services for actuarial and risk management applications.