040465 FK nBWM Financial Econometrics (2017S)
Continuous assessment of course work
Labels
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 We 15.02.2017 09:00 to We 22.02.2017 12:00
- Deregistration possible until Tu 14.03.2017 23:59
Details
max. 40 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
-
Tuesday
07.03.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 07.03. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Tuesday
14.03.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 14.03. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Tuesday
21.03.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 21.03. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Tuesday
28.03.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 28.03. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Tuesday
04.04.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 04.04. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Tuesday
25.04.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 25.04. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Tuesday
02.05.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 02.05. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Tuesday
09.05.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 09.05. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 12.05. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Tuesday
16.05.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 16.05. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Tuesday
23.05.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß -
Tuesday
23.05.
18:30 - 20:00
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß -
Tuesday
30.05.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 30.05. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Tuesday
13.06.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 13.06. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Tuesday
20.06.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 20.06. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
-
Tuesday
27.06.
16:45 - 18:15
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß - Tuesday 27.06. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
1) 2 written tests (each 30%), 9.5. & 27.6. 2017
2) Empirical take-home project (40%), 28.6.-5.7.2017
2) Empirical take-home project (40%), 28.6.-5.7.2017
Minimum requirements and assessment criteria
1) 2 written tests (each 30%), 9.5. & 27.6. 2017
2) Empirical take-home project (40%), 28.6.-5.7.2017
2) Empirical take-home project (40%), 28.6.-5.7.2017
Examination topics
Reading list
Andersen T. G. and Benzoni L. (2009), in: ''Handbook of Financial Time Series'', ed. Andersen, T.G., Davis, R. A., Kreiß, J.-P. and Mikosch, T., Springer, p. 556-576Brooks, C. (2008): “Introductory Econometrics of Finance”, 2nd ed., Cambridge University PressCampbell, J. Y., A. W. Lo, and A. C. MacKinlay (1997): ''The Econometrics of Financial Markets'', Princeton University PressCochrane, J. H. (2005): “Asset Pricing”, revised edition, Princeton University PressDavidson, R., and J. G. MacKinnon (2004): “Econometric Theory and Methods”, Oxford
University PressFranses, P. H., and D. van Dijk (2000): ''Non-Linear Time Series Models in Empirical Finance'', Cambridge University PressHärdle, W., Hautsch, N., and Overbeck L. (2008): ''Applied Quantitative Finance'', 2nd ed., Springer.Hamilton, J. D. (1994): ''Time Series Analysis'', Princeton University PressHautsch, N. (2012): “Econometrics of Financial High-Frequency Data”, Springer.Stock, J. H. and M. W. Watson (2012): Introduction to Econometrics, 3rd edition, PearsonTaylor, S. J. (2005): ''Asset Price Dynamics, Volatility, and Prediction'', Princeton University PressTsay, R. S. (2010): ''Analysis of Financial Time Series: Financial Econometrics'', Wiley, 3rd edition
University PressFranses, P. H., and D. van Dijk (2000): ''Non-Linear Time Series Models in Empirical Finance'', Cambridge University PressHärdle, W., Hautsch, N., and Overbeck L. (2008): ''Applied Quantitative Finance'', 2nd ed., Springer.Hamilton, J. D. (1994): ''Time Series Analysis'', Princeton University PressHautsch, N. (2012): “Econometrics of Financial High-Frequency Data”, Springer.Stock, J. H. and M. W. Watson (2012): Introduction to Econometrics, 3rd edition, PearsonTaylor, S. J. (2005): ''Asset Price Dynamics, Volatility, and Prediction'', Princeton University PressTsay, R. S. (2010): ''Analysis of Financial Time Series: Financial Econometrics'', Wiley, 3rd edition
Association in the course directory
Last modified: Mo 07.09.2020 15:29
This course aims to provide students an introduction into the field and an overview of the most important topics and techniques. Having predominantly an applied focus, it attempts to balance between derivations of basic theoretical relations, fundamental methodology, the analysis of specific financial econometric models, applications thereof as well as the discussion of important empirical findings.
The course deals with fundamental time series techniques to model and to predict financial data, the modelling of time-varying volatility as well as the estimation and testing of asset pricing models.
Current topics in modern financial econometric research, such as the modelling of realized volatility
as well as the analysis of financial high-frequency data is covered as well.
Moreover, an important objective is to provide a comprehensive knowledge to do empirical work in financial research and practice. Therefore, a part of the course consists of practical exercises where students are instructed to apply econometric concepts to real financial data. In this context, students will be introduced to basic programming and application steps using the statistical software package R.