The RiskIntegrity™ for LDTI solution integrates with your existing infrastructure to connect data, models, systems, and processes between actuarial and accounting functions.
Moody’s offers solutions for LDTI that redefine efficiency and integration with a modular, end-to-end solution to address your specific needs.
The RiskIntegrity™ for LDTI solution integrates with your existing infrastructure to connect data, models, systems, and processes between actuarial and accounting functions.
With more than 30 years’ experience in the life insurance market and a service model tested and valued by a broad, global community of customers, we are the leading provider of actuarial modeling in the United States and Canada.
The AXIS™ actuarial system is a powerful modeling solution insurers, reinsurers, and consultants use for actuarial analysis of life insurance and annuity business. The AXIS actuarial system delivers performance, ease of implementation, flexibility, robustness, scalability, and transparency at lower cost of use.
The AXIS system provides flexibility to deploy large-scale computing power through an advanced cloud-based delivery platform or installed software.
In this video we explain how to manage calculations and accounting at subcohort level while staying compliant with LDTI, having the cohort as the unit of account.
LDTI requires additional specific disclosures on cohorts where an immediate charge is recognized and the net premium ratio is capped to 100%. In this video we discuss what to disclose for maximum benefit.
LDTI requires a comparison of actual versus expected cash flows split across mortality, morbidity, and lapses. In this video we explore multiple ways to present this analysis.
The changes from FASB update ASU 2018-12, also known as targeted improvements for long-duration contracts, are significant and introduce new reporting complexities.
Accounting policy decisions: Before implementing the standard, insurers must understand it and make important decisions about how the standard applies to their businesses. For example, how should deferred acquisition costs be amortized? What level of aggregation will be used in developing cohort groupings? Decisions such as these will drive the implementation approach that follows.
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