SOLVENCY II und dessen Implikationen auf das Operationale Risikomanagement von Versicherungsunternehmen
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Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoká škola báňská - Technická univerzita Ostrava
Location
ÚK/Sklad diplomových prací
Signature
202200056
Abstract
ROMUS, Ramin: Solvency II and its implications for the Operational Risk Management
of Insurance Companies [dissertation], VŠB-TECHNICKÁ UNIVERZITA
OSTRAVA, EKONOMICKÁ FAKULTA, advisor: Prof. Ing. Otto Tyrlík,
C.Sc., Ostrava 2011.
The impetus for a management of operational risks in the banking sector has already
been given some years ago by Basel II, and now Solvency II introduces it
also in the insurance industry.
According to experts, from the introduction of Solvency II, considerable problems
arise for the operational risk management of the insurers, regarding the requirements
they have to meet of developing a comprehensible risk management process
of identification, analysis, assessment and control of operational risks.
Some selected problems that have not been treated exhaustively enough until
now, due to the novelty of the topic, are highly suitable for scientific examination
within this dissertation.
After the theoretical analysis of the topic, some of the main problems and flaws of
operational risk management within Solvency II are described. To identify them,
representative studies were analysed and own investigations were carried out for
some selected problems. In these investigations, the development of an exemplary
portfolio of operational risks was analysed on the basis of a practical example and
practice-oriented recommendations were drawn up subsequently. For the specific
problem “controlling operational risks using early warning systems”, the author
developed a risk indicator for the operational risk “internal fraud”
Description
Import 11/04/2012
Subject(s)
operational risk management, introduction of operational risk management
within Solvency II, risk management in insurance companies, early warning
indicators and early warning systems for the operational risk “internal
fraud”.