Learning
objectives / skills
In this module,
students learn the fundamental methods and techniques of economic risk and
portfolio management of insurance companies, credit institutions and asset
managers and the main challenges associated with this. This enables them to
independently analyse essential practice-oriented problems of risk and
portfolio management in financial companies, to interpret and evaluate existing
solutions and to develop and critically assess innovative solution concepts. The
knowledge and skills gained, to identify, quantify, and evaluate risks in both
individual and portfolio contexts using software (especially using MS Excel)
and independently develop approaches for optimizing the risk-return ratio of
portfolios of risky assets, enables students to comprehensively consider
dynamic changes in financial conditions in the context of shareholder value-
and stakeholder-oriented risk and portfolio management (e.g. evaluating the
implications of macroeconomic shocks on risk potentials). This enables students
to develop an in-depth understanding of the interdependencies between strategic
and operational risk management on the one hand, and between business strategy and
risk strategy on the other. This, in turn, forms the basis for the targeted
application and evaluation of methods for strategy development in financial
companies. The acquisition of the skills taught in the module therefore leads
to a holistic understanding of the value creation of insurance companies,
credit institutions and asset managers. The processing of selected questions of
risk and portfolio management and the critical discussion and reflection of the
identified solution approaches are carried out, among other things, on the
basis of case studies, which are worked on in selected exercise units in
smaller groups.
Contents
(a detailed
overview of the lecture contents can be found in the Moodle course for RI.2)
1. Fundamentals of Risk and
Capital Management
2. Fundamentals of
Portfolio Management
Applied
methods of business administration
In this module,
different research and analysis models and methods are used. The focus is on
simulation models (e.g. historical simulation), distribution models (e.g. for
the theory-based definition of distribution parameters of stochastic
variables), time series analysis models (e.g. for deriving distribution
parameters of stochastic returns), normative decision-theory models (e.g.
investment decisions under uncertainty), valuation models (e.g. stock pricing)
and various other quantitative-empirical models (e.g. comparative key
figure analyses of different insurance companies) as well as
qualitative-interpretative methods (e.g. competitive analyses, qualitative
comparative analyses, analyses of different business strategies).
Teaching
and learning methods
Seminar-based
teaching, solving practice-oriented tasks and case studies, working groups /
discussions, PC-based model calculations and analyses (BYOD - Bring Your Own
Device), guest lectures, self-directed learning / experiential learning, home
assignments.
Literature
Will be announced
in the lecture.