Students who have successfully completed this course will have acquired the following skills:
- Understand the role and possibility of portfolio management within the framework of modern capital market theory
- distinguish between asset allocation and security selection in passive and active portfolio management
- appreciate the interplay between risk aversion and optimal capital allocation
- construct passive and active optimal risky portfolios
- master the Black-Litterman method to view-based optimal asset class allocation
- evaluate the performance of portfolios
- Analyze and solve complex portfolio problems individually and as a member of a group and to develop solutions by functioning as a valuable and cooperative team member
- Summarize and professionally present solutions in class
- Adequately communicate and participate in in-class discussions
- Solve and present a case study in small groups
- Find the necessary literature and data to solve complex portfolio problems using, e.g., the Internet, Reuters, Bloomberg.
- Master reasonably complex problems in R, eg. to solve linear programming and regression tasks.