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Therefore, our Product & Technology teams and our addactis transversal Taskforce gathering worldwide experts from all our market units work on R&D projects in order to provide innovative & unprecedented answers to our customers. We conduct high value-added operational research that serves the continuous technological improvement of our solutions on various technical subjects, such as: Data Science algorithms, smart pricing, financial and actuarial modelling, IFRS 17 and Risk Based Capital calculations.
Our objective is to conduct work leading to operational applications for our customers.
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Our Premium Contents include market studies and White Papers on very specific technical topics such as: Climate Change, Data & Analytics, Regulatory Requirements, Pricing, Technology, GRid, Cloud, etc.
Pricing: a priority for non-life insurers in Africa
What if your company’s growth and sustainable long-term profitability depended on your pricing and underwriting policies?
The African non-life insurance market is a case in point.
Why is non-life Insurance not taking off in Africa?
Why is insurance in Africa not fulfilling the economic, financial & societal roles that it is being asked to play?
What is the reason for this failure?
The Top 6 Myths of Non-Life Pricing Insurance
The experience we have gained over the last 25 years during our numerous missions around the world has enabled us to understand and respond to the many beliefs surrounding pricing. We have selected 6 Myths around pricing, which seem strangely persistent and widespread within all types of non-life insurance companies.
Generating value for P&C insurers through Pricing Innovation in Africa, in a post-COVID-19 environment
Attaining long-term profitability is the main goal of every company, and insurers are no exceptions.
The deteriorated economical conditions due to the COVID-19 crisis, will make this issue even more acute and compel insurance carriers to find the right levers to operate in order to navigate this new environment and enjoy renewed profitability.
Implementing GLMs in a changing environment
The purpose of this article is to highlight the benefits of Generalized Linear Models (GLMs), a modeling technique that has been traditionally suited for insurance data, providing valuable answers to these questions.
Actuarial Science & Data Science: a necessary convergence
In this document, we establish a brief overview of the new practices linked to the growing use of data science in our insurance sector.
We will then explain why and how to apply these methods to the insurance world in order to propose innovative solutions.
CSM and P&L assessment under IFRS 17
This Paper deals with the drivers of the IFRS 17 Profit, the disclosure of the P&L account, and the solutions identified to handle the volatility and mismatch related to IFRS 17 valuation.
Risk Adjusment under IFRS 17: Principles and Operational issues
Risk Adjustment offers a great opportunity for insurance companies to fully exploit their ERM corpus, as the Solvency II framework has enabled them to make considerable progress in this area.
Innovative Reserving Process in non-life Insurance: a challenge for Risk Management
Our addactis experts have exemplified a new reserving approach concerning advantages and challenges of individual claim analysis and forecasting, based on data science.
To download the presentation, please follow this link.
Evaluación del CSM y del resultado según IFRS17
Este documento trata de los impulsores del beneficio de IFRS 17, la divulgación de la cuenta de resultados y las soluciones identificadas para manejar la volatilidad y el desajuste relacionados con la valoración de la IFRS 17.
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