Universität Wien
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040205 KU Microeconomics II (MA) (2024W)

6.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
ON-SITE

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 28.11. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 02.12. 09:45 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 05.12. 09:45 - 11:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 09.12. 09:45 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 12.12. 09:45 - 11:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 16.12. 09:45 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 09.01. 09:45 - 11:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 13.01. 09:45 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 16.01. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 20.01. 09:45 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 23.01. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 27.01. 09:45 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 30.01. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

The course ‘Microeconomics II’ aims at a thorough understanding of decisions and markets in an uncertain environment.

The course starts with preferences and the extension to expected utilities in the case of uncertainty- as these are the underlying forces driving individuals’ decisions and their interaction with the market. We introduce the utility maximization under constraints in portfolio optimization problems. Additionally, we also explore deviations from rationality in the decision-making process through behavioral preferences and perceptions.

The second part of the course starts with an evaluation of the investment opportunity set with respect to the mean return and the variance of returns. We examine the potential mean-variance-combinations which can be achieved different portfolio weights in a portfolio of two assets. Then, we extend the model to multiple assets and introduce a risk-free asset. The mean-variance optimization in the market leads to the CAPM (with risk-free asset) and the Zero-beta-CAPM (without risk-free asset).

In the third part of the course, we introduce state-contingent claims, which offer us the opportunity to price a payment at one specific time and state in the future. It is followed by a discussion about the relationship between the assets available for trade and market completeness. Additionally, we discuss how to complete the market through the introduction of additional assets (such as options).

Finally, we are going to cover factor models, in which specific factors are used to explain the return generating process. The assumption of quasi-completeness of the market leads to the APT (Arbitrage Pricing Theory).

The topics of the course follow are summarized below:
PART 1: Decisions under Uncertainty
• Preferences under certainty
• Expected utility theory
• Risk aversion and stochastic dominance
• Portfolio optimization problems
• Behavioral Biases in preferences and perceptions
o Allais paradox
o Prospect theory
o Epstein-Zin preferences

PART 2: Capital Asset Pricing Model
• Investment opportunities in the mean-variance space
o Two assets without risk-free asset
o Multiple assets without risk-free asset
o Multiple assets with risk-free asset
• CAPM
• Zero-beta CAPM

PART 3: Complete Markets and Arrow Debreu Pricing
• Arrow-Debreu setup and state-contingent claims
• Market completeness
• Pareto-optimality
• Completing the market with options

PART 4: Arbitrage Pricing
• Factor models
• Arbitrage Pricing Model (APT)

Assessment and permitted materials

The evaluation in this course will be based on three components:

The first component is class participation. The grade for class participation is based on your presentation of your solutions in exercise sessions as well as on your participation in the lectures.

The second component is a midterm exam and and third component is a final exam at the end of the course.

Minimum requirements and assessment criteria

15% Class Participation
40% Mid-term Exam
45% Final Exam

Examination topics

The midterm exam includes the material covered prior to the midterm and the final exam includes all course content, with a focus on the course content not covered in the midterm.

Reading list

Danthine, Jean-Pierre, and John B. Donaldson. Intermediate Financial Theory. Third Edition, Academic Press, 2014.
Hens, Thorsten; Rieger, Marc Oliver. Financial Economics: A Concise Introduction to Classical and Behavioral Finance. Springer (New York), 2016.

Association in the course directory

Last modified: Mo 16.09.2024 11:06