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| Detailed information |
| Pre-requisites |
(*)KS Unternehmensfinanzierung,
KS Wertpapiermanagement
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| Original study plan |
Bachelor's programme Business Administration 2025W |
| Learning Outcomes |
Competences |
| Learning Outcomes
After successfully completing this course, students will be able to pursue common portfolio management objectives throughout the entire investment process (starting with investment philosophy and strategy, through capital allocation, portfolio optimization, risk limitation and performance evaluation) and will be able to explain commonly used indicators and methods for this purpose.
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| Skills |
Knowledge |
Learning Outcomes
- LO2: Students can classify and compare different models for explaining and predicting stock returns in terms of theoretical background, practical suitability and robustness.
- LO3: Students can explain the scope of application of different metrics for performance measurement and assess their significance in investment management.
- LO4: Students can demonstrate the purpose of using derivatives in the investment context and in corporate risk management and present application strategies in this regard.
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Learning Outcomes
- LO1: Students can describe the fundamentals necessary for the investment process (target variables, models for portfolio selection, possible investment styles, indicators of performance analysis) and reproduce their characteristics and properties.
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| Criteria for evaluation |
Assessment criteria and assessment scheme
Exam
The main focus for the assessment is on a written exam. This consists of short, open questions (some of which can also be simple math problems), is closed book, and has 90 minutes to complete. The exam can be repeated once. A maximum of 30 points can be achieved.
Interactive elements
At the beginning of the semester, each student chooses a task from a given list. A large proportion of these tasks consist of questions that require researching current specialist literature to answer. Another, smaller part could be tasks for which data must be researched and/or evaluated. The results must be submitted via Moodle; these may or may not be presented in the course and discussed in plenary. If the solution is satisfactory, a maximum of 5 points can be achieved, which replace missing exam points and therefore primarily serve to improve the grade for the exam.
Point system
| Points | Grade |
|---|
| 15.0-18.5 | Sufficient |
| 19.0-22.5 | Satisfactory |
| 23.0-26.5 | Good |
| 27.0-30.0 | Very good |
Feedback culture
Feedback on the tasks is given in writing if the results were not discussed in class. Inspection and feedback on the exam are given in person.
Synchronization of learning outcomes and assessments
- LO1: Exam
- LO2: Exam and tasks
- LO3: Exam and tasks
- LO4: Exam and tasks
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| Methods |
The course mainly uses the classic, slide-supported lecture. This is occasionally supplemented by participatory methods, e.g. guided discussions, which can and should be preceded by independent and self-directed learning (from the textbook or supplementary sources).
The interactive elements are intended to encourage research- and project-oriented learning. Answers to course-related questions must be researched, the results may also be presented and discussed in plenary.
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| Language |
German |
| Study material |
Basic literature
- Bruns, Meyer-Bullerdiek (2020). Professionelles Portfoliomanagement, 6. Auflage, Schaeffer-Poeschel.
Supplementary literature (in the current edition)
- Albrecht, Maurer. Investment- und Risikomanagement.
- Bodie, Kane, Marcus. Investments.
- Mondello. Finance: Investments.
- Becker, Peppmeier. Investition und Finanzierung.
- Bloss. Financial Engineering.
- Bösch. Derivate.
- Heinrich. Basiswissen Mathematik, Statistik und Operations Research für Wirtschaftswissenschaftler.
Additional materials
Slides, various journal articles, list of questions or research tasks.
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| Changing subject? |
No |
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