Warning! The directory is not yet complete and will be amended until the beginning of the term.
040977 SE Seminar in Empirical Finance and Financial Econometrics (MA) (2023S)
Continuous assessment of course work
Labels
REMOTE
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 Mo 13.02.2023 09:00 to We 22.02.2023 12:00
- Registration is open from Mo 27.02.2023 09:00 to Tu 28.02.2023 12:00
- Deregistration possible until Fr 17.03.2023 23:59
Details
max. 24 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Friday 03.03. 09:45 - 11:15 Digital
- Friday 10.03. 09:45 - 11:15 Digital
- Friday 17.03. 09:45 - 11:15 Digital
- Friday 24.03. 09:45 - 11:15 Digital
- Friday 31.03. 09:45 - 11:15 Digital
- Friday 28.04. 08:00 - 11:15 Digital
- Friday 12.05. 09:45 - 11:15 Digital
- Friday 19.05. 09:45 - 11:15 Digital
- Friday 26.05. 09:45 - 11:15 Digital
- Friday 02.06. 09:45 - 11:15 Digital
- Friday 09.06. 09:45 - 11:15 Digital
- Friday 16.06. 09:45 - 11:15 Digital
- Friday 23.06. 09:45 - 11:15 Digital
- Friday 30.06. 09:45 - 11:15 Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
Assessment is mainly based on a term project (possibly, performed in groups) and seminar participation (that might include several different activities).
A project consists of a final paper (to be submitted in August/September) and a presentation of the selected research question and intermediate results during the seminar (in April/June). The research question for a project is supposed to be selected individually and can be based on one of suggested methodological papers.
A project consists of a final paper (to be submitted in August/September) and a presentation of the selected research question and intermediate results during the seminar (in April/June). The research question for a project is supposed to be selected individually and can be based on one of suggested methodological papers.
Minimum requirements and assessment criteria
As a prerequisite, it is expected that students have taken core courses in probability and statistics and/or econometrics and are familiar with traditional econometric concepts and techniques (e.g., least squares, maximum likelihood estimation, etc.).
The grade will be based on the course project (intermediate presentation and final paper) and seminar participation.
Intermediate project presentations will take place in April - June, during seminar meetings. The tentative deadline for the final project paper is September 15.The final grade is compiled as follows:
1) Project paper - 70%
2) Project presentations - 20%
3) Seminar participation - 10%
The grade will be based on the course project (intermediate presentation and final paper) and seminar participation.
Intermediate project presentations will take place in April - June, during seminar meetings. The tentative deadline for the final project paper is September 15.The final grade is compiled as follows:
1) Project paper - 70%
2) Project presentations - 20%
3) Seminar participation - 10%
Examination topics
Preliminary list of topics:
1. Financial prices and returns, stylized empirical facts
2. Financial volatility: risk changing over time
3. Classical volatility models, GARCH
4. High frequency (intraday) data, Realized Variance (RV) estimator
5. Statistical properties of RV, time series models for RV
6. New generation of volatility models, GARCH with realized measures
7. Models with time varying parameters, Dynamic Conditional Score models
8. Principles of model selection, in-sample and out-of-sample model evaluation
1. Financial prices and returns, stylized empirical facts
2. Financial volatility: risk changing over time
3. Classical volatility models, GARCH
4. High frequency (intraday) data, Realized Variance (RV) estimator
5. Statistical properties of RV, time series models for RV
6. New generation of volatility models, GARCH with realized measures
7. Models with time varying parameters, Dynamic Conditional Score models
8. Principles of model selection, in-sample and out-of-sample model evaluation
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: Mo 15.05.2023 14:47
The seminar also aims to provide a ground for students to practice presentation skills and a critical assessment of research papers.