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X-WR-CALDESC:Veranstaltungen für AKTUARVEREINIGUNG ÖSTERREICHS (AVÖ)
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DTSTART;TZID=Europe/Vienna:20270203T023000
DTEND;TZID=Europe/Vienna:20270204T120000
DTSTAMP:20260807T134155Z
CREATED:20260807T132713Z
LAST-MODIFIED:20260807T134155Z
UID:10000680-1801621800-1801742400@avoe.at
SUMMARY:Microcredentials-Kurs VERSICHERUNGSWIRTSCHAFTSLEHRE
DESCRIPTION:Lehrender: Dr. Daniel Rehsmann\, BSc MSc \nTermine: \n13. – 14.11.2026 Präsenzvorlesung\n09:00 – 14:30 Uhr \nOnline-Vorlesungen: \n23./24.11.2026\n09./10./14.12.2026\n11./12.01.2027\n19.01.2027 Prüfung\njeweils 15:30 – 17:00 Uhr \nInhalte: \nErwartungsnutzentheorie und des Konzepts der Risikoaversion\noptimale Versicherungsverträge bei mehreren Schadenshöhen (Raviv-Modell)\, Selbstbehalte und Coversicherung\nRisikopooling und Risikospreizung\, Solvabilität und Regulierung\nGleichgewichte auf Versicherungsmärkten unter adverser Selektion (Rothschild-Stiglitz-Modell)\, Rolle von Signaling\, Screening sowie kategorische Diskriminierung\nEx-ante- und Ex-post-Moral-Hazard auf die Vertragsgestaltung\, Mechanismen zur Eindämmung von Versicherungsbetrug\npraktische Fragestellungen der Versicherungswirtschaft (Tarifgestaltung\, Vertragsdifferenzierung\, Experience Rating)\nWissenschaftliche Leitung: Univ.-Prof.in DIin Dr.in Michaela Hitz \nAnmeldung: Versicherungswirtschaftslehre (14. November 2026 – 28. Januar 2027): Übersicht · Indico
URL:https://avoe.at/event/microcredentials-kurs-versicherungswirtschaftslehre-2/2027-02-03/
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BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20270212T093000
DTEND;TZID=Europe/Vienna:20270212T130000
DTSTAMP:20260910T084841Z
CREATED:20260910T084841Z
LAST-MODIFIED:20260910T084841Z
UID:10000695-1802424600-1802437200@avoe.at
SUMMARY:Tail Risk Measurement: Estimation\, Sensitivity\, Uncertainty
DESCRIPTION:Regulatory frameworks such as Solvency II require non-life insurers to quantify extreme risks — most notably the 99.5% Value-at-Risk over a one-year horizon for the Solvency Capital Requirement (SCR). In practice\, however\, this poses a fundamental challenge: historical loss data contains little to no information about such rare events\, making direct estimation inherently unreliable. \nThis web session addresses exactly this gap. It provides participants with a structured and practical toolkit to estimate high-confidence risk measures from limited data — and\, crucially\, to understand and communicate the uncertainty involved\, enabling more robust risk quantification\, particularly in contexts such as SCR validation and ORSA. \nStarting with classical parametric approaches and kernel density estimation\, the course progresses to Extreme Value Theory (EVT)\, with a focus on the Peaks-over-Threshold (POT) method and the Generalised Pareto Distribution (GPD). Particular attention is given to threshold selection and to Bayesian formulations in which the threshold is treated as an uncertain parameter\, enabling posterior-predictive inference for high quantiles. We also consider flexible bulk-tail mixture models that combine non-parametric bulk estimation with an EVT-based tail component. \nFor each method\, the course takes a structured perspective across four dimensions: \n\nthe point estimator and its finite-sample properties\,\nparameter uncertainty and confidence intervals\,\nsensitivity to modelling assumptions\, and\noverall model uncertainty.\n\nFinally\, we connect tail risk modelling to practical risk steering by linking estimated risk measures to capital allocation via the Euler (gradient) principle\, enabling a decomposition into marginal risk contributions across business units or risk types. \nFor the core methods\, participants apply estimation procedures in hands-on R exercises using real non-life insurance loss data\, developing both technical proficiency and the critical judgement required to interpret results. \nThe course provides a critical overview of methods for estimating tail risk at high confidence levels under real-world data constraints\, examining where and why they differ in their conclusions. \nR exercises on real non-life insurance data illustrate the methods in practice\, with particular attention to the interpretation and limitations of the resulting estimates.
URL:https://avoe.at/event/tail-risk-measurement-estimation-sensitivity-uncertainty/
CATEGORIES:European Actuarial Academy (EAA)
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BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20270215T090000
DTEND;TZID=Europe/Vienna:20270218T143000
DTSTAMP:20260910T085716Z
CREATED:20260910T085716Z
LAST-MODIFIED:20260910T085716Z
UID:10000696-1802682000-1802961000@avoe.at
SUMMARY:CERA\, Module A: Quantitative Methods of ERM
DESCRIPTION:The 4-day web session assists actuaries in broadening their knowledge about modern quantitative financial and actuarial modelling; these topics form an essential part of the CERA syllabus. At the beginning of the online training we give a brief overview of the EAA-route to the CERA designation. The core part of the web session begins with an introduction to the modern theory of risk measures. Next\, a number of statistical techniques are discussed\, that are highly relevant for the analysis of actuarial and financial data and for the model-building process in risk management. Among others\, we will consider extreme value theory\, dependence modelling\, copulas\, and various aspects of integrated risk management. The training continues with an introduction to the modelling and the management of interest rate and credit risk. In particular\, participants will learn how to price simple interest options or Credit Default Swaps\, how to account for counterparty risk and how to deal with credit portfolio risk. \nThe web session consists of lectures and exercise sessions. In fact\, exercise sessions\, where various exercises and supplementary examples are discussed\, form an integral part of the seminar: they help the participants to understand the qualitative and quantitative techniques introduced in the lectures\, and they are a key element in the preparation for the CERA exam.
URL:https://avoe.at/event/cera-module-a-quantitative-methods-of-erm-2/
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20270225T090000
DTEND;TZID=Europe/Vienna:20270226T170000
DTSTAMP:20260910T090310Z
CREATED:20260910T090310Z
LAST-MODIFIED:20260910T090310Z
UID:10000697-1803546000-1803661200@avoe.at
SUMMARY:CERA\, Module C: Processes in ERM
DESCRIPTION:This module deals with the challenges of implementing ERM Processes. It includes requirements on ERM Processes and the discussion of best practices. It will be presented how to define an organisation’s risk strategy\, risk appetite\, risk tolerances and limits. We discuss how business strategy influences risk strategy and show their necessary interaction. We demonstrate the close relationship between ERM and Value and Risk Based Management and show how financial and other risks influence the selection of strategy. We show how ERM can be appropriately imbedded in an entity’s strategic planning and discuss the Own Risk and Solvency Assessment. We present the application of an internal risk control process. In the context of ERM reports to different stakeholders are required (management\, supervisory body\, regulators\, public disclosure). We give an overview of the different reports and the main contents. Further we show examples of communication processes in the context of ERM. During the web session we present case studies to discuss the main subjects.
URL:https://avoe.at/event/cera-module-c-processes-in-erm/
CATEGORIES:European Actuarial Academy (EAA)
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