The purpose of this session is to introduce the relevant aspects of regulation, timelines and consequences with respect to the actuarial practice. Starting from the study of relevant articles of the AI Act draft, we will develop an understanding of the impending consequences and likely interpretations of the legal framework. The seminar is structured as […]
Vortragender: DI Lukas Ludwig, FWU AG Vortrag im Rahmen des Actuarial Modelling Clubs (AMC). Die Teilnahme ist kostenfrei. Die Veranstaltung ist öffentlich zugänglich. Die AVÖ vergibt dafür 1 CPD-Punkt. Für Details und Anmeldung siehe Veranstaltungsseite: https://fam.tuwien.ac.at/vr/20240123.php Anmeldeschluss: 2024-01-22
The calculation of life insurance products is traditionally based on the approach of commutation values, whose table properties enable extensive actuarial calculations even without large computer capacities. However, especially for modern and more flexible life insurance tariffs, the calculation by means of commutation values reaches its limits, so that the calculation approach based on Markov […]
This session aims at explaining the evolution of the interest rate capital requirement under the current formula versus the new formula following the SII review and how the deficiencies have been addressed. Anmeldeschluss: 2024-01-29
Mortality curves are a critical ingredient for the valuation of any longevity-related product (for example, pensions, life insurance, reverse mortgages). Typically, several statistical agencies provide mortality curves differentiated on gender per country. However, it has been documented that people’s mortality prospects differ beyond their differences in gender. Income, education, job type, etc might all have […]
Mortality curves are a critical ingredient for the valuation of any longevity-related product (for example, pensions, life insurance, reverse mortgages). Typically, several statistical agencies provide mortality curves differentiated on gender per country. However, it has been documented that people’s mortality prospects differ beyond their differences in gender. Income, education, job type, etc might all have […]
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