Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.
040977 SE Seminar in Empirical Finance and Financial Econometrics (2021S)
Prüfungsimmanente Lehrveranstaltung
Labels
GEMISCHT
Achtung: wird anerkannt für Seminar aus Statistik im Magisterstudium für Studierende der Statistik
Seminar: siehe Homepage
Seminar: siehe Homepage
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 11.02.2021 09:00 bis Mo 22.02.2021 12:00
- Anmeldung von Do 25.02.2021 09:00 bis Fr 26.02.2021 12:00
- Abmeldung bis Mi 31.03.2021 23:59
Details
max. 24 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
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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Donnerstag
04.03.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Donnerstag
11.03.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Donnerstag
18.03.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Donnerstag
25.03.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Donnerstag
15.04.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Donnerstag
22.04.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Donnerstag
29.04.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Donnerstag
06.05.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Donnerstag
20.05.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Donnerstag
27.05.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Donnerstag
10.06.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Donnerstag
17.06.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock -
Donnerstag
24.06.
15:00 - 16:30
Hybride Lehre
Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
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.)
Mindestanforderungen und Beurteilungsmaßstab
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) Homework assignments - 30%
3) Paper presentation - 20%
1) Project - 50%
2) Homework assignments - 30%
3) Paper presentation - 20%
Prüfungsstoff
Literatur
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.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: 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.