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| Detailed information |
| Pre-requisites |
keine (die Zulassung zum Studium vorausgesetzt)
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| Original study plan |
Master's programme Economic and Business Analytics 2025W |
| Learning Outcomes |
Competences |
Students will be trained to:
- Understand and apply the theoretical models of risk and asset pricing to real-world financial markets.
- Critically assess the functioning and regulation of financial markets, particularly in conditions of inefficiency.
- Evaluate financial phenomena like bubbles, herding, and market crashes with reference to academic and empirical studies.
Course Goals
This course provides students with the theoretical and practical tools necessary to analyze and understand financial markets and decisions under risk. Students will explore risk preferences, methods for measuring risk, and techniques for pricing risk in financial markets. By the end of the course, students will have the skills needed to critically assess risk-related decisions and the functioning of financial markets.
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| Skills |
Knowledge |
Students will be able to:
- Use expected utility theory to assess risk preferences and decisions under uncertainty.
- Apply quantitative techniques to measure risk and price it in financial markets.
- Evaluate risk management strategies, including portfolio choice and insurance.
- Analyze asset pricing models such as CAPM and assess their real-world applications.
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Students will understand the key concepts behind risk assessment, risk management, and asset pricing models in financial economics. They will be familiar with the Efficient Market Hypothesis and market inefficiencies caused by information asymmetry and speculative behavior.
Course Content:
1. Decision Under Risk:
- Risk Aversion
- Measuring Risk
- Expected Utility Theory
2. Risk Management:
- Insurance Contracts
- Portfolio Choice
3. Asset Pricing and Financial Markets:
- Efficient Risk Allocation
- Arrow-Debreu Securities
- Capital Asset Pricing Model (CAPM)
4. Inefficient Financial Markets:
- Efficient Market Hypothesis (EMH)
- Information Asymmetry, Herding, and Bubbles
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| Criteria for evaluation |
Final Exam (75%):
The final written exam (75 minutes) will assess students' comprehension of the course content, with questions designed to test their ability to apply theoretical concepts to practical financial problems.
Problem Sets Assignments (25%):
Students will complete problem sets that will contribute to their overall grade based on the accuracy and depth of their solutions.
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| Methods |
Interactive Lecture:
The course will feature interactive lectures with a focus on engaging students in real-world applications and problem-solving. Graphs, models, and case studies will be used to enhance understanding.
Problem Sets as Assignments:
Students will be assigned problem sets related to course topics to apply theoretical concepts and quantitative methods in practical scenarios. These assignments will reinforce learning and prepare students for the final exam.
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| Language |
English |
| Study material |
- LeRoy, Stephen F., and Jan Werner. Principles of financial economics. Cambridge University Press, 2014.
- Brunnermeier, Markus K. Asset pricing under asymmetric information: Bubbles, crashes, technical analysis, and herding. Oxford University Press on Demand, 2001.
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| Changing subject? |
No |
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
977BAECFERK10: KS Financial Economics and Risk (2010W-2019S)
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