The RiskIntegrity™ for LDTI solution integrates with your existing infrastructure to connect data, models, systems, and processes between actuarial and accounting functions.
Moody’s LDTI solutions help insurance companies address the updated Financial Accounting Standards Board (FASB) requirements for long-duration insurance contracts and help insurers make the transition to the new standard.
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 US 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.
AXIS provides flexibility to deploy large-scale computing power through an advanced cloud-based delivery platform or installed software.
The AXIS actuarial system, including the new AXIS US GAAP LDTI Link module, delivers improved enterprise-level control, auditability, scalability, reporting flexibility, and end-to-end automation as demanded by the new US GAAP standards, as well as other new frameworks.
Moody’s RiskIntegrity™ for LDTI solution helps insurance companies address the updated FASB requirements for long-duration insurance contracts and helps insurers make the transition to the new standard.
Additionally, it helps insurers kick-start their actuarial and accounting modernization efforts as they prepare for LDTI with a modular, end-to-end solution that improves the record-to-reporting process.
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.
AXIS provides flexibility to deploy large-scale computing power through an advanced cloud-based delivery platform or installed software.
The AXIS actuarial system, including the new AXIS US GAAP LDTI Link module, delivers improved enterprise-level control, auditability, scalability, reporting flexibility, and end-to-end automation as demanded by the new US GAAP standards, as well as other new frameworks.
Moody’s RiskIntegrity™ for LDTI solution helps insurance companies address the updated FASB requirements for long-duration insurance contracts and helps insurers make the transition to the new standard.
Additionally, it helps insurers kick-start their actuarial and accounting modernization efforts as they prepare for LDTI with a modular, end-to-end solution that improves the record-to-reporting process.
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.
Assumption management: Under LDTI, actuarial assumptions must be monitored closely and updated at least annually. A process must be in place to make sure that assumption updates are made accurately, on time, and as part of a strong governance framework.
Experience studies: Firms must consider whether to undertake efforts to formalize experience studies and how that workstream should be integrated into their valuation processes.
Model input: Calculations for the liability for future policy benefits and several other actuarial balances require historical unlocking of actuarial assumptions by incorporating actual past cash flows. While this concept is familiar to many insurers who currently perform retrospective estimated gross profit unlocking, many firms are taking the opportunity to re-engineer existing processes related to data collection and management.
Model output: Insurers must have suitable storage and analysis tools that enable actuaries and accountants to work side by side to better understand actuarial model output from both an accounting and analytical perspective.
Roll forwards: To produce the roll forwards, insurers must produce many cash flow projections (perhaps five or six in terms of liability for future policy benefits and 10 or more sets of stochastic projections for a market risk benefit). An automated process must be in place to produce those runs. The results of the runs are then used to produce the accounting entries and formal roll-forward disclosures.
While some insurers might already be producing some form of roll-forward disclosures under existing GAAP, the complexity of the process has the potential to be much greater under LDTI. Insurers must streamline and automate the process and consider whether a dedicated subledger provides the most logical framework for producing the required disclosures.
Consideration of the level of detail to incorporate in the general ledger (GL): At one extreme, firms might prefer to encapsulate LDTI measurement complexities in a subledger solution and only feed aggregated results into the thin GL approach. This keeps the burden of LDTI on the GL low but implies that the production of LDTI disclosures must come from the subledger solution, and analysis on the GL level remains limited. At the other extreme, firms might want to enrich their GL with the granularity required for LDTI by using the thick GL approach.
Firms may need to reconsider how they post the difference between statutory reserves and GAAP reserves in their GL given that GAAP reserves are now subject to a different roll-forward analysis.
Right tools for reporting: Targeted improvements aim to bring transparency to the financial reporting process, and insurers must have the proper tools to take advantage. For example, an insurer should perform its roll forwards at the appropriate level of disaggregation necessary to understand the movement of its actuarial balances period to period. In addition, an insurer should have a facility where both actuaries and accountants can analyze results and use those to drive management decisions.
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.
Assumption management: Under LDTI, actuarial assumptions must be monitored closely and updated at least annually. A process must be in place to make sure that assumption updates are made accurately, on time, and as part of a strong governance framework.
Experience studies: Firms must consider whether to undertake efforts to formalize experience studies and how that workstream should be integrated into their valuation processes.
Model input: Calculations for the liability for future policy benefits and several other actuarial balances require historical unlocking of actuarial assumptions by incorporating actual past cash flows. While this concept is familiar to many insurers who currently perform retrospective estimated gross profit unlocking, many firms are taking the opportunity to re-engineer existing processes related to data collection and management.
Model output: Insurers must have suitable storage and analysis tools that enable actuaries and accountants to work side by side to better understand actuarial model output from both an accounting and analytical perspective.
Roll forwards: To produce the roll forwards, insurers must produce many cash flow projections (perhaps five or six in terms of liability for future policy benefits and 10 or more sets of stochastic projections for a market risk benefit). An automated process must be in place to produce those runs. The results of the runs are then used to produce the accounting entries and formal roll-forward disclosures.
While some insurers might already be producing some form of roll-forward disclosures under existing GAAP, the complexity of the process has the potential to be much greater under LDTI. Insurers must streamline and automate the process and consider whether a dedicated subledger provides the most logical framework for producing the required disclosures.
Consideration of the level of detail to incorporate in the general ledger (GL): At one extreme, firms might prefer to encapsulate LDTI measurement complexities in a subledger solution and only feed aggregated results into the thin GL approach. This keeps the burden of LDTI on the GL low but implies that the production of LDTI disclosures must come from the subledger solution, and analysis on the GL level remains limited. At the other extreme, firms might want to enrich their GL with the granularity required for LDTI by using the thick GL approach.
Firms may need to reconsider how they post the difference between statutory reserves and GAAP reserves in their GL given that GAAP reserves are now subject to a different roll-forward analysis.
Right tools for reporting: Targeted improvements aim to bring transparency to the financial reporting process, and insurers must have the proper tools to take advantage. For example, an insurer should perform its roll forwards at the appropriate level of disaggregation necessary to understand the movement of its actuarial balances period to period. In addition, an insurer should have a facility where both actuaries and accountants can analyze results and use those to drive management decisions.
In this session, we will discuss the core reporting and accounting requirements under LDTI and outline how RiskIntegrity for LDTI can help insurers fast-track their implementation to meet deadlines.
Hear from a panel of experts in this InsuranceERM-hosted webinar. The panel will discuss the granularity required for LDTI calculations and how actuarial accounting and analytics will change under LDTI. The speakers also touch on the impact on processes, lessons learned so far, and the current levels of preparedness.
In this webinar, we will use an example term-life product to walk through the end-to-end process. We examine the input data requirements, actuarial model assumptions, accounting treatments, ASU disclosures, and LDTI financial statement impacts.
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