In general, machine learning (ML) is the study of algorithms that improve through experience. These algorithms or models can make systematic, repeatable, validated decisions based on historical data. ML has come a long way in recent years, which is reflected in the methods available for time series forecasting (they are also important for assessing parameters […]

In both life and general insurance, many predictive modelling tasks involve outcomes that occur infrequently—such as policy lapses, claims, or fraud. This leads to class imbalance, a situation where the target variable’s classes are not represented equally in the data, often with one class (e.g. policy lapse) being vastly outnumbered by the other. If not […]

For an insurance company, ensuring the proper coordination between assets and liabilities in order to achieve targeted financial objectives is of paramount interest. A strategy used to reach such objectives is "asset and liability management" (ALM in short). ALM can therefore be viewed as any ongoing process that defines, implements, and monitors financial strategies to […]

During the web session, we will first explore the theoretical foundations of both the bias-variance trade-off in predictive modelling and general GLM regularisation. We will then study the explicit design of the algorithm. The remainder will be hands-on as we provide extensive code that implements the algorithm in the statistical programming language R. We will […]

The online seminar will explore selected AI applications relevant to the actuarial profession, focusing not only on potential use cases but also on how actuaries can responsibly design, validate, and monitor AI models. Participants will learn how to build compelling business cases for AI initiatives and understand where actuarial expertise offers unique value in ensuring […]

In a context of widespread instability, the actuarial analysis of emerging risks takes on particular importance to facilitate the adaptation of insurance to these profound changes. Whether it be old risks with poorly anticipated consequences (such as the epidemiological risk, as demonstrated by the recent Covid-19 crisis, whose consequences can significantly exceed purely healthcare boundaries), […]

With the introduction of new accounting frameworks, the corresponding alignment of planning and performance management and with the increasing need for sophisticated asset liability management, the stochastic assessment of risk and value in connection with participating life insurance portfolios has become the industry standard over the last decade. The underlying basis for such an assessment […]