Articles

Solving Problems and Overcoming Obstacles in GAAP LDTI Webcast

Actuary, Scott D. Hougton discusses setting assumptions for LDTI (Long Duration Targeted Improvements) products; including term life insurance, whole life, long term care, and disability income.

Setting assumptions for GAAP Long Duration Targeted Improvements (LDTI) Products

in LDTI

While the timing of the implementation of the standard has been well known, time is now of the essence.

IFRS 17 – Race to the Finish – Disruption and Transformation at Your Doorstep

in IFRS 17

While the timing of the implementation of the standard has been well known, time is now of the essence.

IFRS 17 – The Race to the Finish – The Standard vs. Implementation Realities

in IFRS 17

interpreting the requirements of the standard into actual operationalized procedures is a much more complex exercise..

banner image of a woman evaluating data on her laptop

IFRS 17 – The Race to the Finish – Technology Solution Point-to-Point vs. Data Hub

in IFRS 17

Compliance can’t be achieved without substantial alignment of supporting IT systems..

IFRS 17 – Race to the Finish – Don’t Underestimate the Complexity, Even for P&C

in IFRS 17

For most short-term business, the premium allocation approach (PAA) can be used and it generally gives bottom- line results similar to current practice.

IFRS 17 – Race to the Finish – The Right Strategy for Data

in IFRS 17

By now, most insurers have established an IFRS 17 implementation plan and are working on the design of their solution.

IFRS 17 – Race to the Finish – Actuarial Work and IFRS 17

in IFRS 17

Model changes sometimes sound simpler than they really are. One constant in our IFRS 17 projects is that change ends up being more complex and require more resources than anticipated.

IFRS 17 – Race to the Finish – The Link Between IFRS 17 and IFRS 9

in IFRS 17

When many insurers think of implementing IFRS 17, they may not recognize there other standards that may also need to be applied—including IFRS 9..

Effective Systemic Risk Management for the Insurance Industry

in Articles, Risk Management

The problem and largest challenge with systemic risk identification and management is that high-risk activities and high-risk companies are often identified only with hindsight. This article identifies risk factors and proposes a framework for systemic risk management that can be applied in advance by regulators, company management, and other stakeholders.

2021 AXIS Conversions | What is Involved? An in-depth look into Valani Global’s Best-In-Class Process

in AXIS

Valani Global is a niche consulting firm that solely focuses on Moody’s risk management software solutions. We are also part of the Moody’s Global PartnerAlliance program, which is an expert network that offers delivery and support options for Moody’s Analytics clients.
Using our expertise, we have performed 100+ transformations from different data sources to Moody’s software solutions, including AXIS and RiskIntegrityTM.
100% of our consultants are fully certified in RiskIntegrityTM for IFRS 17. We do not hire juniors who learn on the job at your expense.
Once a resource is allocated to a client, they will remain dedicated to the project until com- pletion.
The success and satisfaction of our clients are paramount to us. We will work hard to ensure that our work meets or exceeds your standards.

Consultants’ views of IFRS 17

in IFRS 17

Santiago Fiallos, Senior Manager, Actuarial & Quantitative Services, at Sia Partners; and Nazir Valani, President and Co-Founder, Valani Global share their thoughts on IFRS 17 implementation at non-life insurers.

Techniques for Taming Model Risk

in Actuarial Modeling

By the end of 2022, many major accounting regimes commonly used by actuaries will have significantly changed. Most of these changes are material and will increase the complexity of models needed to calculate actuarial-related balances. New regimes like Principle-Based Reserving (PBR), GAAP LDTI, and IFRS 17 require detailed cash flow projection models, often with multiple assumptions sets that need to be updated frequently, increasing model complexity and risk.