Solvency II in the Insurance Industry: Application of a Non-Life Data Model

This book illustrates the EU-wide Solvency II framework for the insurance industry, which was implemented on January 1, 2016, after a long project phase. Analogous to the system for banks, it is based on three pillars and the authors analyze the complete framework pillar by pillar with a consistent data model for a non-life insurer, which was developed by the Research Group Financial&Actuarial Risk Management (FaRis) at the Institute for Insurance Studies of the TH Köln - University of Applied Sciences. The book leverages the long-standing and close cooperation between the University of Limerick (Ireland) and the Institute for Insurance Studies at TH Köln - University of Applied Sciences (Germany).

1133654388
Solvency II in the Insurance Industry: Application of a Non-Life Data Model

This book illustrates the EU-wide Solvency II framework for the insurance industry, which was implemented on January 1, 2016, after a long project phase. Analogous to the system for banks, it is based on three pillars and the authors analyze the complete framework pillar by pillar with a consistent data model for a non-life insurer, which was developed by the Research Group Financial&Actuarial Risk Management (FaRis) at the Institute for Insurance Studies of the TH Köln - University of Applied Sciences. The book leverages the long-standing and close cooperation between the University of Limerick (Ireland) and the Institute for Insurance Studies at TH Köln - University of Applied Sciences (Germany).

119.49 In Stock
Solvency II in the Insurance Industry: Application of a Non-Life Data Model

Solvency II in the Insurance Industry: Application of a Non-Life Data Model

Solvency II in the Insurance Industry: Application of a Non-Life Data Model

Solvency II in the Insurance Industry: Application of a Non-Life Data Model

eBook1st ed. 2018 (1st ed. 2018)

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Overview


This book illustrates the EU-wide Solvency II framework for the insurance industry, which was implemented on January 1, 2016, after a long project phase. Analogous to the system for banks, it is based on three pillars and the authors analyze the complete framework pillar by pillar with a consistent data model for a non-life insurer, which was developed by the Research Group Financial&Actuarial Risk Management (FaRis) at the Institute for Insurance Studies of the TH Köln - University of Applied Sciences. The book leverages the long-standing and close cooperation between the University of Limerick (Ireland) and the Institute for Insurance Studies at TH Köln - University of Applied Sciences (Germany).


Product Details

ISBN-13: 9783319770604
Publisher: Springer-Verlag New York, LLC
Publication date: 02/22/2019
Series: Contributions to Management Science
Sold by: Barnes & Noble
Format: eBook
File size: 36 MB
Note: This product may take a few minutes to download.

About the Author

Maria Heep-Altiner is the head of the Research Group Financial&Actuarial Risk Management (FaRis) of the Institute for Insurance Studies at the TH Köln - University of Applied Science and as a lecturer responsible for the topic “Financial Management in Insurance Companies” where she has published several monographs in the past.

Furthermore, she is a board member of the German Actuarial Association (DAV) as well as a scientific member of the advisory board of the German Insurance Supervisor (BaFin). In the past, Ms. Heep-Altiner has also been a scientific member of the EIOPA Insurance and Reinsurance Stakeholder Group.

Martin Mullins is the head of the Department of Accounting and Finance at the Kemmy Business School (University of Limerick) and a Senior Lecturer in Risk and Insurance. He is currently working on a number of insurance related research projects, including three EU Commission funded projects in the area of emerging technologies and risk transfer. He maintains strong links with the insurance industry and works closely with Lloyd’s of London and XL Catlin on emerging risk.

His work also encompasses the area of applied ethics as it pertains to new technologies. He is member of the international advisory board at The Center for Ethics&Value Inquiry (CEVI) at the Ghent University in Belgium. In the past, Martin Mullins has been a key member of an EU-China partnership team engaging with civil servants and academics in the area of financial regulation across China. 

Torsten Rohlfs is a member of the Research Group Financial&Actuarial Risk Management (FaRis) of the Institute for Insurance Studies at the TH Köln - University of Applied Science and as a lecturer responsible for the topic “Risk Management in the Insurance Industry” where he has published several monographs in the past.

Furthermore, he is a member of the Chamber of Public Accountants (WPK) and a member of the Assekurata Rating Committee. 

Table of Contents

Chapter 1. Introduction.- Chapter 2. Application of the Data Model – Pillar One.- Chapter 3. Application of the Data Model – Pillar Two.- Chapter 4. Application of the Data Model – Pillar Three.

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