Semester:SS 17
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
- Dr. rer. oec. Wiebke Szymczak, M.Sc.
(Modulleitung)
Curricula
Bachelor's degree programme in Business Administration (01.09.2012)Description
Decision Theory:
- Expected utility theory
- Mean-variance theory
- Prospect theory.
- Asymmetric information
- Market efficiency
- Behavioral biases
Quantitave analysis:
- Data collection
- Descriptive statistics
- Inferential statistics
- Introduction to R
Qualifications
- Know the most prominent decision 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 models and quantitative methods. They find the strategic aspect of a problem and transform it into a simplified game/problem.
- Analyze decision situations and decide which approaches are useful to handle them.
- Evaluate of Investments with EUT, MVT and PT.
- Know methods in decision theory.
- Know quantitative analysis methods to conduct financial research.
- Explain and interpret the assumptions of these methods.
- Use theories, 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 and analysis methods in mini cases and find appropriate models for solving typical problems.
- Understand and critically discuss the arguments of fellow students.
- Work on financial decision making problems and solve mini cases as well as examples in small groups and discuss them in front of 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, react on critical discussion without being offended.
- React to other opinions and solutions and defend their own 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
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.