White Papers

This paper explores the operational and compliance risks associated with critical End-User Computing tools such as spreadsheets, databases and scripts widely used in actuarial, finance and risk functions. It proposes a pragmatic, risk-based framework to transform undocumented “shadow tools” into documented and auditable assets, while showing how Generative AI can accelerate documentation and support regulatory compliance.
Read now

This paper benchmarks methods for intra-year ultimate loss projections for Non-Life reserving, avoiding reliance on gross-up proxies. It compares approaches, highlights pros and cons, and offers insurers a palette of options that can be tailored to their needs and risk profile.
Read now

The intersection of ethical considerations and predictive modeling in non-life insurance is becoming increasingly important. Today, the regulatory landscape and scientific research emphasize the need for deeper insights into non-discrimination and fairness in predictive models.

Read now

In the finance and insurance sectors, accurately identifying outliers is vital for robust risk assessment and decision-making. Traditional methods often struggle with real-world data characterized by skewness and heavy tails. This paper introduces a tailored framework for outlier detection designed specifically for non-Gaussian distributions.

Read now

Reacfin is proud to announce the launch of its new Credit Risk Practice
Read more

A Reacfin Research White Paper in Machine Learning

Download