Universität Wien

040205 KU Microeconomics II (MA) (2024W)

6.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 50 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Montag 25.11. 09:45 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Donnerstag 28.11. 09:45 - 11:15 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Montag 02.12. 09:45 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Donnerstag 05.12. 09:45 - 11:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Montag 09.12. 09:45 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Donnerstag 12.12. 09:45 - 11:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Donnerstag 09.01. 09:45 - 11:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Montag 13.01. 09:45 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Donnerstag 16.01. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 20.01. 09:45 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Donnerstag 23.01. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Montag 27.01. 09:45 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Donnerstag 30.01. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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)

Art der Leistungskontrolle und erlaubte Hilfsmittel

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.

Mindestanforderungen und Beurteilungsmaßstab

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

Prüfungsstoff

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.

Literatur

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.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mi 20.11.2024 08:45