This session aims at describing the similarities and differences between the financial and prudential frameworks applicable to insurers. After a general overview, we will focus on discount rates and risk margin/risk adjustment. A case study will then illustrate the application of those concepts to an insurance portfolio. Anmeldeschluss: 2023-04-23 Link: https://actuarial-academy.com/seminars/seminar?No=E0356
The goal of the two-day web session is to provide participants with a comprehensive introduction to the new measurement, presentation and disclosure guidance for insurance contracts. It will cover life, health and non-life business, including the special guidance on direct participating contracts and shorter term non-life contracts and give useful examples. In the web session, […]
Die Versicherungsbranche ist im Wandel – sie ist besonders betroffen (und kann gleichzeitig besonders profitieren) von Digitalisierung und Automatisierung. Künstliche Intelligenz erlaubt es, viele Prozesse in Risikomanagement, Marketing und Schadenabwicklung zu verbessern und zu beschleunigen. Dieser Workshop gibt Einblick über Algorithmen zur besseren Vorhersage und Reservierung in Lebens- und Schadenversicherungsmathematik. Anmeldeschluss: 2023-04-14
IFRS 17 requires that risks inherent in the cash flows of the insurance contracts are considered in measurement, differentiating between financial risks and non-financial risks. While the financial risks are measured at their current (estimated) market value, non-financial risks are measured at “the compensation that the entity requires for bearing the uncertainty about the amount […]
The goal of this two-day training is to introduce the participants to both open source ecosystems and to get a good understanding of both languages. However, since both ecosystems are way too vast to be covered in merely two days, the participants will be asked to go through the basics of both languages themselves, prior […]
Vortragende: Ulrike Ebner, Wolfgang Mederer, Martin Buchleitner, Cyrus Razavi, Andreas Missbauer Inhalte: Mit 1.1.2023 ist der neue Internationale Bilanzierungsstandard für Versicherungen IFRS 17 in Kraft getreten, spätestens ab diesem Zeitpunkt ist auch IFRS 9 für die Kapitalanlagen anzuwenden. Der Standard ist ausgesprochen komplex und verändert sowohl die bisher vertrauten Inhalte der Bilanzierung grundlegend und lässt […]
Nachhaltigkeit: An diesem Thema kommt niemand mehr vorbei. Die EU hat sich zum Ziel gesetzt, bis 2050 klimaneutral zu sein. Um diesen „Green Deal” umzusetzen, wurden auch für Versicherer umfangreiche Gesetzespakete auf den Weg gebracht. Diese verlangen eine adäquate Berücksichtigung des Klimawandels unter Solvency II und in „grünen” Versicherungsprodukten. Dieses Fachseminar richtet sich insbesondere an […]
The actuarial focus has changed significantly over the last couple of years. Computational power is increasing with exponential growth, in addition more and more data is available. This combination puts the actuarial profession into a position where a new understanding has to be developed on today‘s possibilities of actuarial science and its ethical implications. The […]
Insurance companies are quite busy with IFRS17 and devote relatively little attention to IFRS9, its equivalent on the asset side. The complexity of this standard must however not be underestimated. If not only regular bonds, but also some banking products, appear on the balance sheet, IFRS9 poses quite some challenges. Due to the great […]
In 2017, after more than two decades of debates, outreach and Exposure Drafts, the IASB finally published the new IFRS 17 standard for Insurance Contracts. Following additional years of further debates on several actuarial and accounting-related aspects the new standard will become effective on 1st January 2023 and fundamentally change the way on how many […]
During the past decade, supervised classification problems have been identified in several actuarial fields, such as risk management, projection modeling, fraud and anomaly detection, etc. In many of these problems, the respective classification task is subject to a highly imbalanced dataset, i.e., the number of instances of the relevant class is extremely small in comparison […]
