Universität Wien
Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

390018 SE PhD-VGSF: Advanced Corporate Finance Theory (2022W)

4.00 ECTS (2.00 SWS), SPL 39 - Doktoratsstudium Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung
VOR-ORT

Lecturer: Prof. Uday Rajan (Michigan Ross)

Moodle

An/Abmeldung

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

Details

max. 24 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine

This course is held in cooperation with WU Vienna.
For registration after the deadline please contact finance.office@univie.ac.at

All sessions at University of Vienna, Oskar Morgenstern-Platz 1, 1090 Wien:

Mo 12 December 2022 9:45 am - 1.00 pm in Seminarroom 5, 1st floor
Mo 12 December 2022 2:00 pm - 4:30 pm in Seminarroom 5, 1st floor, further in Seminarroom 6, 1st floor.

Tu 13 December 2022 9:45 am - 1:00 pm in Seminarroom 15, 3rd floor
Tu 13 December 2022 2:00 pm - 4:30 pm in Seminarroom 5, 1st floor, further in Seminarroom 6, 1st floor.

We 14 December 2022 9:45 am - 1:00 pm in Seminarroom 1, ground floor
We 14 December 2022 2:00 pm - 4:30 pm in Seminarroom 15, 3rd floor, further in Seminarroom 13, 2nd floor.

Th 15 December 2022 9:45 am - 11:15 am in Seminarroom 13, 2nd floor, further - 1:00 pm in Seminarroom 16, 3rd floor.
Th 15 December 2022 2:00 pm - 4:30 pm in Seminarroom 16, 3rd floor,
further in Seminarroom 6, 1st floor.

Exam date to be announced.

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course is targeted toward PhD and advanced Masters students. The course will cover some
recent research papers in the FinTech area. Two of the topics we will cover relate to FinTech
disruption of banking, through private company actions in the lending and payment markets, and
through central bank action in the form of a Central Bank Digital Currency. The third topic is
Initial Coin Offerings, which represent a new way to finance firms. Within each topic, the focus
will be on covering a few theoretical papers in detail, and talk about empirical findings where
applicable. On each paper, the plan is to go through the model, the assumptions, and the main
propositions.
The course methods will include standard tools from information economics (such as adverse selec-
tion and moral hazard) and game theory (such as perfect Bayesian equilibrium).

Art der Leistungskontrolle und erlaubte Hilfsmittel

The course grade will be based on two components that each have a weight of 50%.
1. Final exam.
2. Research proposal on a related topic.

Mindestanforderungen und Beurteilungsmaßstab

To pass the course, you need to achieve an aggregate score of at least 50%

Prüfungsstoff

All topics covered in class (please see the course syllabus, available on Moodle).

Literatur

The course has three broad topics: (i) FinTech and lending (ii) Initial coin offerings and tokenization
and (iii) Central bank digital currency. Detailed readings for each topic are in the course syllabus (available on Moodle).

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mi 07.12.2022 10:31