Semester:SS 13
Type:Module
Language:English
ECTS-Credits:6.0
Scheduled in semester:4
Semester Hours per Week / Contact Hours:60.0 L / 45.0 h
Self-directed study time:135.0 h
Type:Module
Language:English
ECTS-Credits:6.0
Scheduled in semester:4
Semester Hours per Week / Contact Hours:60.0 L / 45.0 h
Self-directed study time:135.0 h
Module coordination/Lecturers
- Assoz. Prof. Dr. Martin Angerer
(Modulleitung)
Curricula
Bachelor's degree programme in Business Administration (01.09.2012)Description
Decision Theory: Expected utility theory und mean-variance theory & prospect theory.
Game Theory: Strategic Form Games: Dominant strategies and solvability, Nash equilibrium, mixed strategies, zero sum games, extensive form games, dynamic, static and repeated games. Rationality and games with incomplete information
Behavioral Finance: Comparison of empirical observations and decision theory. Behavioral biases & risk profiling,
gathering, processing and using information on experimental financial markets
Qualifications
- Know the most prominent decision and game theories. They are aware of the important human biases in financial decision making.
- Understand how rational solutions can be found by applying classical decision models and are aware of the differences between these model solutions and the solutions humans normally come up with.
- Solve decision problems by using DT and GT models and methods. They find the strategic aspect of a problem and write it down into a simplified game/problem. They are able to use concepts and methods to solve those games and can predict the behavior of involved players.
- Analyze games and decision situations and decide which approaches are useful to handle them.
- Combine the knowledge from various areas to create a risk profiler for a better understanding of clients` needs.
- Evaluate of Investments with EUT, MVT and PT.
- Know methods in game and decision theory.
- Explain and interpret the assumptions of these methods.
- Use methods and models on unknown decision situations. Calculate optimal solutions and equilibria.
- Compare different methods for measuring and controlling risk and uncertainty in decision processes.
- Evaluate decision methods in mini cases and find appropriate models for solving typical problems.
- Understand and critically discuss the arguments of fellow students.
- Work together in small groups to solve mini cases and small examples discussed in class.
- Evaluate the solutions of fellow students, explain carefully why they might be seen as right or wrong.
- Understand the flaws and problems of fellow students, reaction without offense.
- React to and defend their solution without being offended.
- Listen carefully, read and repeat, practice until they understand the logic and mathematics the models are based upon.
- Work together and motivate other students who tend to give up as a reaction to the difficulty of mathematical problems.
- Take responsibility and organize/explain solutions to others who have problems and tend to give up.
Admission Requirements
Knowledge prerequisites:
Modul Mikroökonomie
- Preferences and Utility
- Decisions under risk and uncertainty
Prerequisities
The following conditions need to be met prior to registering for the module:
- successful completion of English I
- successful completion of additional first year programme modules amounting to at least 45 credit points.
Exception for SS 13: only 39 additional credits.