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Individual loss reserving methods have undergone substantial development in the past decade, driven by increased access to granular-level insurance claims data. This research aims to propose a micro loss reserving model tailored for multi-coverage insurance policies, where a single insurance claim might trigger payments from multiple coverage types. A copula-based multivariate regression approach is employed to jointly model the settlement time and loss amount, effectively capturing the dependence among various types of loss amounts and their correlation with the settlement time. We stress the importance of considering both types of dependence for accurate reserving prediction and uncertainty quantification. Furthermore, we propose computationally efficient algorithms for parameter estimation and dynamic prediction. Through numerical experiments and real data analysis, we demonstrate the effectiveness of the proposed multivariate predictive model in loss reserving applications. Speaker: Roxane Turcotte Moderator: Joana Gregório Raposo

Emerging markets are at the forefront of innovation in sustainable insurance, with actuaries playing a central role in shaping this evolution. From parametric covers protecting Kenyan herders, to sovereign catastrophe bonds in Mexico, to ESG and climate-risk integration across African and Asian insurers - these markets are generating new models for climate resilience and financial inclusion. Drawing on case studies from Africa, Asia, the Caribbean, and Latin America this session will examine the expanding remit of the profession in addressing some of society's most pressing challenges.


Speaker: Arpita Das
Moderator: Peng Shi, ACAS, FSA, PhD

In the first part of this webinar, we will analyze the effect of using weighted maximum likelihood estimation for survival models where the assigned weights depend on the sum assured – a common practice in life insurance to focus on the financial consequences of survivorship. In this context, we consider how these estimates may change when more granular mortality models are used that are based on the socioeconomic characteristics of policyholders. During the presentation, we will highlight several practical considerations for developing weighted models for liability estimation and discuss the impact of such approaches on annuity liabilities. To illustrate this, we will present results using a real-world insurance dataset providing survival information on individuals who purchased annuities between 2015 and 2022 in the Netherlands. The analysis will include a financial test of fit to evaluate the performance of models. In the second part of the webinar, we will discuss research findings on the potential influence of socioeconomic factors on annuitants' longevity, based on publicly available, area-level indicators. The analysis will present detailed results on variables that could be useful for modelling policyholder mortality in the Netherlands, and will compare these with the traditional approach of using age, gender and pension information as covariates.


Speaker: Andrey Ugarte Montero
Andrey Ugarte Montero is a postdoctoral researcher at the Research Center for Longevity Risk (RCLR) of the University of Amsterdam. He holds a master’s degree in Actuarial Science from the University of Lisbon in Portugal and a PhD in Actuarial Science from HEC Lausanne in Switzerland. His interests include actuarial modelling in life and health insurance and the financial consequences of longevity within an insurance context. He is also interested in the applications of machine learning and data science in the insurance sector. From December 2013 to August 2017, Andrey worked as an actuarial consultant for the firm EY (Ernst & Young) in Latin America. He’s also pursuing certification as an Associate/Fellow of the UK’s Institute and Faculty of Actuaries


Moderator: Ernst Visser
Ernst is a Dutch actuary working for KPMG Financial Risk Management in The Netherlands. He has a master degree in physics and a master degree in actuarial science. In 2025 Ernst obtained an MBA degree with a thesis investigating the potential for disruption in the insurance industry. Ernst is a fully qualified member of the Dutch actuarial society. He has Over 30 years experience in consulting in the insurance industry

AFIR-ERM Webinar: Optimal Preventive Strategies in Insurance Risk Models. We develop an integrated framework for optimal risk management in insurance that considers preventive strategies and/or risk sharing in risk models. We odel an insurer facing risks whose frequency and severity can be influenced by preventive efforts, as well as by exogenous risk-sharing instruments. Within a dynamic risk model, we formalize the insurer’s problem as either minimizing ruin probabilities or maximizing a mean–variance criterion for the terminal surplus process, while accounting for the implementation costs of preventive measures and the cost of risk transfer. We derive analytical conditions characterizing the optimal prevention efforts and optimal risk-sharing structure, and we study how these choices depend on risk characteristics. Numerical illustrations based on classical risk models show that jointly optimizing prevention and risk sharing can substantially reduce ruin probabilities compared to treating these instruments in isolation.


Speaker: Li Jingchao
Session moderator: Guangyao Liu

This webinar explores how Behavioral Economics can bridge the gap between complex financial products and actual consumer decisions within the pension and insurance industries. By shifting the focus from purely technical designs to the cognitive reality of "System 1" and "System 2" thinking, we will analyze why even the most robust actuarial models often face inertia and low uptake. The presentation moves beyond theory to examine proven strategies from leading global markets who have successfully maximized participation and savings rates. We will discuss how to apply Choice Architecture to overcome deep-seated biases that hinder effective risk protection across both retirement and insurance sector. Ultimately, this talk redefines the actuary's role as a "Decision Architect," capable of building scalable infrastructure that is both mathematically sound and humanly effective in a modern regulatory landscape.


Speaker: Diego Valero Carreras
Session moderator: Abraham Hernández Pacheco