Authored by Jihyun Kim, Global Sales Executive RNA Analytics
Enterprise-Perspective Pricing
Through the previous two articles, we introduced the need for a distributable-earnings metric that can represent the shareholder perspective — rather than the CSM metric alone — when pricing insurance products, and the Nested Scenario modeling methodology that can implement an appropriate projection of distributable earnings under the current IFRS 17/K-ICS regime.
Read MoreAuthored by Jihyun Kim, Global Sales Executive RNA Analytics
In the previous instalment, we discussed the problems of examining only the CSM metric when pricing insurance products, and the need for a shareholder-profit-perspective pricing metric. We noted that the concept of traditional VNB is useful as a way to evaluate distributable earnings — a shareholder-profit concept — but that it cannot be used as is and must be improved to fit the requirements of the current regime.
Read More
Hosted by Herald Biz
We are honoured to announce that RNA Analytics has been recognized with the award in the Insurance Solution category at the 2026 Korea’s Most Respected Companies, Institutions, Leaders & Consumers’ Favourite Brand Awards.
Read More
PowerKorea magazine feature
Actuarial science has a 200-year history; and it's finally getting a modern, AI-driven revolution.
Insurance has always been an incredibly data-intensive business, requiring companies to model decades of complex variables, from interest rates to long-term liabilities. But with global standards like IFRS 17 and evolving risk regulations, legacy systems are struggling to keep pace with the complexity.
Read More
Authored by Jihyun Kim, Global Sales Executive RNA Analytics
In 2023, IFRS 17 was fully introduced. Changes to the accounting regime inevitably affects corporate decision-making. Following the adoption of IFRS 17, insurers came to emphasize the CSM metric, and this influenced pricing as well, with insurers adopting the new-business CSM margin as a metric for pricing decisions.
Read More
Authored by Jihyun Kim, Global Sales Executive RNA Analytics
If an insurance company were compared to a car, insurance-product pricing would be its engine — for the driving force behind an insurer’s growth originates from its products.
Read More
R3S GIP simplifies sophisticated predictive analytics, allowing users to perform detailed pricing analysis with ease. Driven by continuous innovation, the platform bridges the gap between raw data and actionable underwriting decisions through a streamlined, user-friendly interface.
Read More
Authored by Sunil Yoon, Principal Actuarial Consultant RNA Analytics
As the field of Data Science continues to develop rapidly, many companies are showing increasing interest in modeling using Machine Learning or Deep Learning and are applying these technologies in their actual business operations.
Read More
Our CEO Harry KIM, joined Seoul Economic Network TV for the filming of “Jo Young-gu’s Hot Trend” in Seoul.
Read More
Authored by Angie Edmunds, Senior Actuarial Consultant, RNA Analytics
The non-life insurance industry is dealing with growing reporting demands, increasing data volumes, and more complex actuarial processes than ever before.
Read More
In the non-life insurance sector, volatility is part of the business. From catastrophe exposure to evolving claims development across motor, property, and specialty lines, insurers are under increasing pressure to deliver faster insights, stronger governance, and more agile regulatory reporting.
Read More
We are delighted to welcome Jihyun Kim to RNA Analytics Limited as Business Head, AP.
With more than 20 years of experience in the insurance industry, Jihyun brings deep expertise across actuarial, financial analysis, business planning, risk and capital management, product development and marketing.
Read More
Authored by Manuel Montes Senior Actuarial Consultant, RNA Analytics
Did you know that with the Profiler functionality in R3S Modeler, you can precisely identify which components and variables consume the most time during your model's execution?
Read More
In an era defined by volatile global markets and unpredictable operational shifts, the traditional approach to risk management is rapidly becoming obsolete. Organizations can no longer rely on legacy systems to anticipate the challenges of tomorrow.
Read More
Authored by Tak Lee, GC Regional Manager, RNA Analytics
In the evolving landscape of insurance regulation, the Own Risk and Solvency Assessment (ORSA) has transitioned from a mere compliance exercise to a critical pillar of risk management strategic decision-making.
Read More
Compliance with IFRS 17 may for some time have seemed like a distant (and moving!) target on the horizon, but now that the accounting standard is upon us, work to implement the new rules and models has come to fruition for many insurers, giving us the opportunity to dissect projects end-to-end, and to share best practice.
Read More
The shift to VM-22 represents the most significant change to U.S. annuity reserving in decades. By moving away from the prescriptive, formulaic CARVM approach, the new Principle-Based Reserving (PBR) framework requires insurers to model complex, stochastic future states.
Read More
¿Sabías que puedes integrar tus reportes web directamente en R3S Modeler?
Disponible desde la versión 4.1, R3S Modeler incorpora una funcionalidad poco conocida pero que puede aportar un gran valor añadido a los equipos actuariales y de riesgos: la pestaña Report, disponible en el workspace de resultados tras la ejecución de un modelo.
Read More
RNA Analytics, a global leader in actuarial and risk management software, is pleased to announce its official Gold Sponsorship of the Instituto de Actuarios Españoles (IAE) for 2026.
Read More