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040977 SE Seminar in Empirical Finance and Financial Econometrics (2021S)
Continuous assessment of course work
Labels
MIXED
Achtung: wird anerkannt für Seminar aus Statistik im Magisterstudium für Studierende der Statistik
Seminar: siehe Homepage
Seminar: siehe Homepage
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).
- Registration is open from Th 11.02.2021 09:00 to Mo 22.02.2021 12:00
- Registration is open from Th 25.02.2021 09:00 to Fr 26.02.2021 12:00
- Deregistration possible until We 31.03.2021 23:59
Details
max. 24 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Generally, the seminar is supposed to take place on-site, but due to the current circumstances, at least in March, classes will be organized in online format.
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Thursday
04.03.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Thursday
11.03.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Thursday
18.03.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Thursday
25.03.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Thursday
15.04.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Thursday
22.04.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Thursday
29.04.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Thursday
06.05.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Thursday
20.05.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Thursday
27.05.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Thursday
10.06.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Thursday
17.06.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Thursday
24.06.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Assessment is mainly based on a term project (possibly, performed in groups), practical home assignments and seminar participation (that might include several different activities).
A project consists of a final paper (to be submitted in September) and a presentation of the selected research question and intermediate results during the seminar (in June). The research question for a project is supposed to be selected individually (possibly, from several suggested directions).
Seminar participation includes several additional activities (discussions in class, presentation of selected papers, etc.)
A project consists of a final paper (to be submitted in September) and a presentation of the selected research question and intermediate results during the seminar (in June). The research question for a project is supposed to be selected individually (possibly, from several suggested directions).
Seminar participation includes several additional activities (discussions in class, presentation of selected papers, etc.)
Minimum requirements and assessment criteria
As a prerequisite, it is expected that students have taken core courses in probability theory and some courses in statistics and/or econometrics and are familiar with basic probabilistic and econometric concepts (e.g., LLN, CLT, stationarity, least squares estimator, maximum likelihood principle, etc.).The final grade is compiled as follows:
1) Project - 50%
2) Home assignments - 30%
3) Paper presentation - 20%
1) Project - 50%
2) Home assignments - 30%
3) Paper presentation - 20%
Examination topics
Reading list
There will be no unique course textbook. Instead, research papers will be recommended as a source of relevant material for the projects.Some useful textbooks are:Tsay, RS (2010): Analysis of Financial Time Series: Financial Econometrics, Wiley, 3rd edition.Hautsch, N. (2012): Econometrics of Financial High-Frequency Data, Springer.Taylor, SJ (2005): Asset Price Dynamics, Volatility, and Prediction, Princeton University Press.
Association in the course directory
Last modified: Fr 12.05.2023 00:13
The seminar also aims to provide a ground for students to practice presentation skills and a critical assessment of research papers.