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DTSTART;TZID=Europe/Vienna:20260624T090000
DTEND;TZID=Europe/Vienna:20260624T121500
DTSTAMP:20260426T204525
CREATED:20260210T190604Z
LAST-MODIFIED:20260210T190604Z
UID:10000620-1782291600-1782303300@avoe.at
SUMMARY:EAA Web Session 'How to Read the IFRS Balance Sheet for Insurers'
DESCRIPTION: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 has become effective on 1st January 2023 and fundamentally changed the way on how many insurance companies present their obligations and their financial performance stemming from insurance contracts. \nAs experience shows\, actuaries play a key role in that new reporting regime: The standard requires many fundamental decisions\, which determine the reporting of the amount and profile of IFRS results for years to come. Actuaries need to understand the corresponding consequences for reporting and to be able to explain it to their top-management. They also play a key role in the preparation of landmark decisions and need to closely collaborate and communicate with other functions\, i.e. the accounting function. \nAccordingly\, a strong focus of this web session is to assist actuaries to better understand the key reporting requirements of IFRS 17\, in particular regarding the IFRS balance sheet and statement(s) of financial performance (Profit and Loss as well as Other Comprehensive Income). The web session will be useful for both finance and actuarial experts involved in IFRS 17 reporting and analysis or simply interested in the practical application of this ground-breaking new standard.\nAnmeldeschluss: 2026-06-22\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/eaa-web-session-how-to-read-the-ifrs-balance-sheet-for-insurers-e0538/
URL:https://avoe.at/event/eaa-web-session-how-to-read-the-ifrs-balance-sheet-for-insurers-2/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260629T100000
DTEND;TZID=Europe/Vienna:20260629T121500
DTSTAMP:20260426T204525
CREATED:20260304T110620Z
LAST-MODIFIED:20260304T110620Z
UID:10000627-1782727200-1782735300@avoe.at
SUMMARY:EAA Web Session 'Deep Learning in Finance for Pension Funds with Examples'
DESCRIPTION:Deep Learning supports Solvency Requirements for Pension Funds and ensures the Guarantee of Benefit Payments at any time. It is particularly well-suited for time series forecasting related to inflation\, yield curves and asset allocation returns in order to prepare and review these. We use the Long short-term memory (LSTM) method\, a type of recurrent neural network (RNN)\, as well as other neural networks. \nDeep learning is a type of machine learning that uses multi-layered neural networks. The libraries programmed with Python are fascinating areas of research because they help to verify time series forecasts and to understand how long it might take for the pension fund to reach the target value of the investment fluctuation reserve based on the current situation. \nRNN-based models\, particularly LSTMs\, are increasingly being used to capture complex spatio–temporal dependencies\, while hybrid architectures combine convolutional and recurrent components (i.e.\, CNN-LSTM). Researchers have developed hybrid models that further improve prediction accuracy\, which is very important for financial forecasting.\nAnmeldeschluss: 2026-06-25
URL:https://avoe.at/event/eaa-web-session-deep-learning-in-finance-for-pension-funds-with-examples/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260831T090000
DTEND;TZID=Europe/Vienna:20260902T170000
DTSTAMP:20260426T204525
CREATED:20260407T084849Z
LAST-MODIFIED:20260407T084849Z
UID:10000640-1788166800-1788368400@avoe.at
SUMMARY:EAA Web Session 'Actuarial Data Science - Completion'
DESCRIPTION:Organised by the EAA – European Actuarial Academy GmbH in cooperation with the Aktuarvereinigung Österreichs (AVÖ). \nThis is part four of four courses required to obtain the EAA Certificate in Actuarial Data Science. To earn the certificate\, participants must complete all four modules\, which include both the seminar and the exam. Members of AVÖ and/or DAV will obtain the additional title Certified Actuarial Data Scientist (by AVÖ and/or DAV) by fulfilling the same requirements. \nFurthermore\, all courses are open to interested actuaries to deepen their knowledge and skills in the field of Actuarial Data Science (without exams). \nIntroduction\nDue to technological progress in connection with Data Science and Digitalization\, summarized under the buzzword Big Data\, a plethora of opportunities and challenges for the industry is arising. \nTechnological developments have now also reached the insurance industry and thus have a direct impact on the working world of actuaries. \nUnder the heading Actuarial Data Science\, the procedures and methods of data mining are embedded in the actuarial context. These range from mathematics-driven statistical methods for derivation of insights from data to computation-driven methods sometimes summarized as machine learning. As a result of almost unlimited computing capacity through cloud computing and wide availability of training data\, tried and tested methods of machine learning\, such as artificial neural networks\, are experiencing a renaissance in theory and practice. \nThis web session is the fourth part of a four-part series at the German Actuarial Association (DAV). In this online training\, we will expand on and deepen some of the topics already known from the basic\, advanced and immersion seminar\, discussing further important techniques in the context of deep learning and data storage. It is based on the learning objectives of the DAV for Actuarial Data Science Immersion\, which is part of the actuarial training in Germany.\nAnmeldeschluss: 2026-08-27\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/actuarial-data-science-completion-e0569/
URL:https://avoe.at/event/eaa-web-session-actuarial-data-science-completion-2/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260907T090000
DTEND;TZID=Europe/Vienna:20260910T170000
DTSTAMP:20260426T204525
CREATED:20260407T084644Z
LAST-MODIFIED:20260407T084644Z
UID:10000639-1788771600-1789059600@avoe.at
SUMMARY:EAA Web Session 'CERA\, Module B: Taxonomy\, Modelling and Mitigation of Risks'
DESCRIPTION:The web session focuses on quantitative analyses of financial and non-financial risks of an insurance company and the effect and possible applications of risk mitigation techniques. After an introduction to the economic valuation of an insurance company\, including stochastic valuation models and approximation techniques for life companies\, and the building blocks of its economic balance sheet\, the risk measure as well as the relevant regulatory requirements of Solvency II will be discussed. Different concepts of risk modelling covering from standard formula to fully internal models will be presented. \nMethods for modelling market\, credit\, operational and underwriting risks will be presented in detail. The discussion covers the risk definition and identification and how it can be distinguished from other risks. Qualitative and quantitative valuation approaches will be discussed – including scenario analyses\, stress tests\, deterministic and stochastic assessments. Furthermore\, crucial aspects of any model such as assumptions\, distributions\, calibration and validation are discussed\, as well as limitations and criteria for the adequacy of a model for solving a given problem. \nHaving introduced and discussed the risk modelling\, tools and techniques will be discussed that are available in the insurance business to mitigate these risks. That includes the discussion around the implications of reinsurance and securitisation as well as portfolio management. We will also present what life insurance companies subject to traditional with profit business can do to hedge their main risks. \nBoth elements\, risk modelling and measurement as well as risk mitigation\, are closely related and interact with each other\, what will be reflected in the topics presented and the structure of the seminar. \nThe consolidated view on risks in a company and an outlook on Group models close the course.\nAnmeldeschluss: 2026-09-03\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/cera-module-b-taxonomy-modelling-and-mitigation-of-risks-e0535/
URL:https://avoe.at/event/eaa-web-session-cera-module-b-taxonomy-modelling-and-mitigation-of-risks-2/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260916T090000
DTEND;TZID=Europe/Vienna:20260916T170000
DTSTAMP:20260426T204525
CREATED:20260407T084517Z
LAST-MODIFIED:20260407T084517Z
UID:10000638-1789549200-1789578000@avoe.at
SUMMARY:EAA Web Session 'Actuarial Data Science – Advanced'
DESCRIPTION:Organised by the EAA – European Actuarial Academy GmbH in cooperation with the Aktuarvereinigung Österreichs (AVÖ). \nThis is part two of four courses required to obtain the EAA Certificate in Actuarial Data Science. To earn the certificate\, participants must complete all four modules\, which include both the seminar and the exam. Members of AVÖ and/or DAV will obtain the additional title Certified Actuarial Data Scientist (by AVÖ and/or DAV) by fulfilling the same requirements. \nFurthermore\, all courses are open to interested actuaries to deepen their knowledge and skills in the field of Actuarial Data Science (without exams). \nIntroduction\nDue to technological progress in connection with Data Science and Digitalization\, summarized under the buzzword Big Data\, a plethora of opportunities and challenges for the industry is arising. \nTechnological developments have now also reached the insurance industry and thus have a direct impact on the working world of actuaries. \nUnder the heading Actuarial Data Science\, the procedures and methods of data mining are embedded in the actuarial context. These range from mathematics-driven statistical methods for derivation of insights from data to computation-driven methods sometimes summarized as machine learning. As a result of almost unlimited computing capacity through cloud computing and wide availability of training data\, tried and tested methods of machine learning\, such as artificial neural networks\, are experiencing a renaissance in theory and practice. \nThis web session is the second part of a four-part series at the German Actuarial Association (DAV). In this online training\, we will expand on and deepen some of the topics already known from the basic seminar\, discussing further important techniques in the context of deep learning and data storage. It is based on the learning objectives of the DAV for Actuarial Data Science Advanced\, which is part of the actuarial training in Germany.\nAnmeldeschluss: 2026-09-14\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/actuarial-data-science-advanced-e0556/
URL:https://avoe.at/event/eaa-web-session-actuarial-data-science-advanced/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261001T084500
DTEND;TZID=Europe/Vienna:20261002T170000
DTSTAMP:20260426T204525
CREATED:20260422T090509Z
LAST-MODIFIED:20260422T090509Z
UID:10000647-1790844300-1790960400@avoe.at
SUMMARY:EAA Seminar in Vilnius 'Advanced Applications of Generative AI in Actuarial Science'
DESCRIPTION:Organised by the EAA – European Actuarial Academy GmbH in cooperation with the Lietuvos Aktuarų Draugija. \nThe seminar will be held in person\, giving participants the opportunity to learn on site alongside other actuarial professionals\, exchange ideas directly\, and receive immediate support from the lecturers. The venue is the 4-star hotel Courtyard Vilnius City Centre (details below). The evening event on the first day is giving participants the opportunity to connect\, discuss practical questions\, and build their professional network in an informal setting. \nBy the end of the seminar\, participants will be able to:\n– Understand the foundations of generative AI\, with a focus on how large language models work\, where they add value\, and what risks they introduce (e.g.\, hallucinations\, bias\, data leakage\, overreliance)\n– Decide when GenAI is appropriate and when classical approaches (statistics\, machine learning\, or traditional programming) remain the better choice – based on feasibility\, cost\, explainability\, and operational constraints.\n– Build robust LLM-powered workflows using APIs or local setups\, including function calling/tool use\, structured outputs\, retrieval-augmented generation\, and\, where suitable\, fine-tuning – with attention to traceability and reproducibility.\n– Understand and prototype agentic AI systems\, including key concepts (e.g.\, agents\, orchestration\, tool use)\, practical safeguards\, and realistic use cases in insurance and finance such as assisted analysis\, document workflows\, and reporting.\nAnmeldeschluss: 2026-09-24\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/advanced-applications-of-generative-ai-in-actuarial-science-e0572/
URL:https://avoe.at/event/eaa-seminar-in-vilnius-advanced-applications-of-generative-ai-in-actuarial-science/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261005T093000
DTEND;TZID=Europe/Vienna:20261005T130000
DTSTAMP:20260426T204525
CREATED:20260407T084320Z
LAST-MODIFIED:20260407T084320Z
UID:10000637-1791192600-1791205200@avoe.at
SUMMARY:EAA Web Session 'Climate Change Scenarios: Application\, Evolution\, and Reporting'
DESCRIPTION:Climate Risk scenarios are commonly used in the insurance industry for stress testing\, but interpreting and communicating results is often challenging\, given strong limitations and complex assumptions. This session will provide practical guidance on stress testing application in the ORSA context\, focusing on financial risks\, and provide context and foundations necessary in order to communicate and interpret the results. We will discuss key evolutions in recent years with a particular emphasis on NGFS scenarios and the modelling of physical risks. \nThe session will be based around a case study for a generic insurer\, where we calculate impacts on the insurer’s capital position under different climate change scenarios\, thereby illustrating the practical elements of stress testing. In this context\, we will specifically talk about: Key steps to practical implementation of stress tests\, models for key financial variables relevant for insurance stress testing (e.g. interest rates\, credit spreads)\, NGFS scenarios and their recent evolution\, impact of scenario updates\, modelling of physical risks\, as well as key limitations and considerations for reporting.\nAnmeldeschluss: 2026-10-01\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/climate-change-scenarios-application-evolution-and-reporting-e0573/
URL:https://avoe.at/event/eaa-web-session-climate-change-scenarios-application-evolution-and-reporting-2/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261008T100000
DTEND;TZID=Europe/Vienna:20261008T120000
DTSTAMP:20260426T204525
CREATED:20260407T082956Z
LAST-MODIFIED:20260407T082956Z
UID:10000635-1791453600-1791460800@avoe.at
SUMMARY:EAA Web Session 'Calculation of Life Insurance Products by Means of Markov Chains'
DESCRIPTION: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 chains is gaining in importance and has been used for some time in the mathematical cores of new portfolio administration systems. \nThis web session will provide an insight into the calculation of common life insurance products using the Markov approach. For this purpose\, first an overview of the best-selling life insurance products in some European countries and their classic calculation will be given. In the following\, the principle of Markov chains is explained and a model for calculating actuarial values is derived. \nFinally\, the online training also addresses problems that can arise when migrating from classically calculated portfolios to systems with the Markov approach.\nAnmeldeschluss: 2026-10-06\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/calculation-of-life-insurance-products-by-means-of-markov-chains-e0580/#c4838
URL:https://avoe.at/event/eaa-web-session-calculation-of-life-insurance-products-by-means-of-markov-chains-3/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261009T100000
DTEND;TZID=Europe/Vienna:20261009T120000
DTSTAMP:20260426T204525
CREATED:20260422T085059Z
LAST-MODIFIED:20260422T085059Z
UID:10000645-1791540000-1791547200@avoe.at
SUMMARY:EAA Web Session 'GenAI: Is it all about Attention or also about Predictability?'
DESCRIPTION:Artificial Intelligence is rapidly moving from experimentation to infrastructure in actuarial work. AI systems are beginning to influence decisions that were historically driven by statistical models\, expert judgment\, and regulatory constraints. This session focuses on understanding what is happening under the hood of modern Generative AI systems\, particularly large language models and AI agents. What does “attention” mean in technical terms\, and why is it foundational to how these systems process information? How do agentic systems differ from classical predictive models? And critically for actuarial practice: where does predictability break down? \nWe will examine both the capabilities and the limitations of AI. In domains characterized by uncertainty\, feedback loops\, and human behavior\, no system\, human or machine\, offers perfect foresight. Understanding these boundaries is essential for responsible adoption. The objective is not to replace actuarial judgment\, but to augment it\, while ensuring that humans remain accountable for decisions in high-stakes contexts.\nAnmeldeschluss: 2026-10-07\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/genai-is-it-all-about-attention-or-also-about-predictability-e0581/
URL:https://avoe.at/event/eaa-web-session-genai-is-it-all-about-attention-or-also-about-predictability/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261012T090000
DTEND;TZID=Europe/Vienna:20261013T133000
DTSTAMP:20260426T204525
CREATED:20260407T085023Z
LAST-MODIFIED:20260407T085023Z
UID:10000641-1791795600-1791898200@avoe.at
SUMMARY:EAA Web Session 'From Deep Learning to Transformers: Foundations of Modern LLMs'
DESCRIPTION:Deep learning (DL) pertains to the field of artificial intelligence and is great at extracting and mastering the often highly non linear patterns of a given process\, whatever this process might be. The only main requirement is the availability of a large amount of data that describes the behaviour of the process under different conditions and a truckload of computational power. With data collection becoming cheaper and computational power still following Moore’s law\, fitting DL models that produce extremely useful predictions has become a practical reality. \nWhile this family of models is broad\, one particular architecture has reshaped the field of text analysis: the transformer. Transformers were originally introduced to overcome the limitations of earlier neural networks when dealing with sequential data such as text\, where long range dependencies and contextual meaning matter. Their ability to process entire sequences in parallel and to model relationships between all words at once made them uniquely suited for language tasks. \nLarge Language Models (LLMs) are essentially very large transformer networks trained on massive text corpora. They represent a natural continuation of deep learning\, but with capabilities—reasoning over text\, summarising documents\, generating explanations—that go far beyond what earlier DL architectures could achieve. Understanding LLMs therefore benefits from first understanding the deep learning principles on which they are built.\nAnmeldeschluss: 2026-10-08\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/from-deep-learning-to-transformers-foundations-of-modern-llms-e0578/
URL:https://avoe.at/event/eaa-web-session-from-deep-learning-to-transformers-foundations-of-modern-llms/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261104T090000
DTEND;TZID=Europe/Vienna:20261104T123000
DTSTAMP:20260426T204525
CREATED:20260407T082820Z
LAST-MODIFIED:20260407T082820Z
UID:10000634-1793782800-1793795400@avoe.at
SUMMARY:EAA Web Session 'Special Actuarial Topics in Cyber (Re)Insurance'
DESCRIPTION:In the modern economy\, where many businesses integrally depend on functioning IT systems and digital services\, cyber insurance has emerged as one of the fastest-growing insurance lines. Likewise\, the challenges for actuaries in adequately assessing\, modelling\, pricing\, and managing this complex and ever-evolving risk are manifold. In this session\, we will delve into key aspects of cyber insurance\, extending beyond the basics.\nAnmeldeschluss: 2026-11-02\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/special-actuarial-topics-in-cyber-reinsurance-e0565/
URL:https://avoe.at/event/eaa-web-session-special-actuarial-topics-in-cyber-reinsurance/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261105T093000
DTEND;TZID=Europe/Vienna:20261106T121500
DTSTAMP:20260426T204525
CREATED:20260407T083124Z
LAST-MODIFIED:20260407T083124Z
UID:10000636-1793871000-1793967300@avoe.at
SUMMARY:EAA Web Session 'The ORA under IORP II: From EU Landscape to Board Conclusions'
DESCRIPTION:This web session provides a structured and practical walkthrough of the Own Risk Assessment (ORA) under IORP II. \nWe begin with a concise overview of the European pension landscape and supervisory expectations\, followed by a clear comparison between ORA and ORSA. \nThe core of the session focuses on the practical building blocks of a robust ORA: \nlinking strategy to risk identification\, assessing risk appetite and risk-bearing capacity\, applying scenario analysis\, stress testing and reverse stress testing\, defining management actions and trigger frameworks\nformulating defensible board conclusions \nThe emphasis throughout is on practical implementation and producing ORA outcomes that are coherent\, defensible and aligned with board responsibility.\nAnmeldeschluss: 2026-11-03\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/the-ora-under-iorp-ii-from-eu-landscape-to-board-conclusions-e0571/
URL:https://avoe.at/event/eaa-web-session-the-ora-under-iorp-ii-from-eu-landscape-to-board-conclusions/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261113T090000
DTEND;TZID=Europe/Vienna:20261113T133000
DTSTAMP:20260426T204525
CREATED:20260422T090324Z
LAST-MODIFIED:20260422T090324Z
UID:10000646-1794560400-1794576600@avoe.at
SUMMARY:EAA Web Session 'Prospecting Health Similar to Life: Concepts\, Techniques and Cases'
DESCRIPTION:The goal of this web session is to provide a comprehensive explication of the actuarial methods in Health SLT insurance which are commonly used in European jurisdictions. Case studies are presented to introduce some recent developments in the design of life-long health covers. \nBy the end of the online training\, participants will have an understanding about the actuarial means and ends of long-term Health insurance and its contribution to the financing of health services for an ageing population.\nAnmeldeschluss: 2026-11-11\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/prospecting-health-similar-to-life-concepts-techniques-and-cases-e0582/
URL:https://avoe.at/event/eaa-web-session-prospecting-health-similar-to-life-concepts-techniques-and-cases/
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261125T090000
DTEND;TZID=Europe/Vienna:20261125T133000
DTSTAMP:20260426T204525
CREATED:20260424T095802Z
LAST-MODIFIED:20260424T095802Z
UID:10000648-1795597200-1795613400@avoe.at
SUMMARY:EAA Web Session 'Stochastic Projection Models in Life Insurance'
DESCRIPTION: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 is a cash flow projection model\, simulating the way the life insurance undertaking is working and reflecting it by projecting local GAAP balance sheets and income statements. Due to the complexity associated with such calculations\, simplifications are required especially regarding the modelling of the insurance contracts to meet operational and technical constraints. Therefore\, it has become an area of actuarial research to develop methodologies that allow stochastic cash flow models to achieve results of adequate accuracy based on acceptable run times with affordable IT capabilities.\nAnmeldeschluss: 2026-11-23\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/stochastic-projection-models-in-life-insurance-e0567/
URL:https://avoe.at/event/eaa-web-session-stochastic-projection-models-in-life-insurance-3/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
END:VCALENDAR