040514 VK KFK CF/FM: Empirical Finance (2013W)
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 Fr 06.09.2013 09:00 to Fr 20.09.2013 14:00
- Registration is open from We 25.09.2013 09:00 to Th 26.09.2013 17:00
- Deregistration possible until Mo 14.10.2013 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 01.10. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 01.10. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 08.10. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 08.10. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 15.10. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 15.10. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 22.10. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 22.10. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 29.10. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 29.10. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 05.11. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 05.11. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 12.11. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 12.11. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 19.11. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 19.11. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 26.11. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 26.11. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 03.12. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 03.12. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 10.12. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 10.12. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 17.12. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 17.12. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 07.01. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 07.01. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 14.01. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 14.01. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 21.01. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 21.01. 16:00 - 18:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 28.01. 10:00 - 12:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Continuous assessment.
- 50% of the final mark will come from a written examination at the end of the course.
- 50% of the final mark will come from coursework assigned during the course. It includes lab assignments to be handed in specific weeks of the course, and an end-of-course empirical group project.
- 50% of the final mark will come from a written examination at the end of the course.
- 50% of the final mark will come from coursework assigned during the course. It includes lab assignments to be handed in specific weeks of the course, and an end-of-course empirical group project.
Minimum requirements and assessment criteria
This course aims to introduce financial econometrics with particular emphasis on its empirical applications. It provides students with the concepts of the econometric techniques widely applied in finance, and their hand-on applications and interpretations. It aims to develop computer skills in financial analysis, using the statistical package EViews.
Examination topics
2-hour lectures aim to provide the students with the theoretical and intuitive understanding of the econometric techniques of interests. Then, 2-hour labs are dedicated to hands-on computer work using the software Eviews, with emphasis on the interpretation of the results.
Reading list
The main textbooks are:
- John Y. Campbell, Andrew W. Lo, and A. Craig MacKinlay (1997), The Econometrics of Financial Markets, Princeton University Press (selected chapters)
- Chris Brooks, (2008), Introductory Econometrics for Finance, Cambridge Press, (selected chapters)Other suggested readings are:
- Gary Koop (2006) Analysis of Financial Data, Wiley
- K. Cuthbertson (2004), Quantitative Financial Economics: Stocks, Bonds and Foreign Exchange, EDITOR
- Stephen J. Taylor (2005) Asset price dynamics, Volatility and Prediction, Princeton University Press
- Terry J. Watson and Keith Parramore (1997) Quantitative methods in Finance, South-Western
- Dimitrious Asteriou and Stephen G. Hall (2007) Applied Econometrics, Palgrave Macmillan
- John Y. Campbell, Andrew W. Lo, and A. Craig MacKinlay (1997), The Econometrics of Financial Markets, Princeton University Press (selected chapters)
- Chris Brooks, (2008), Introductory Econometrics for Finance, Cambridge Press, (selected chapters)Other suggested readings are:
- Gary Koop (2006) Analysis of Financial Data, Wiley
- K. Cuthbertson (2004), Quantitative Financial Economics: Stocks, Bonds and Foreign Exchange, EDITOR
- Stephen J. Taylor (2005) Asset price dynamics, Volatility and Prediction, Princeton University Press
- Terry J. Watson and Keith Parramore (1997) Quantitative methods in Finance, South-Western
- Dimitrious Asteriou and Stephen G. Hall (2007) Applied Econometrics, Palgrave Macmillan
Association in the course directory
Last modified: Mo 07.09.2020 15:29
1. Introduction and basic data handling with Eviews
2. Classical linear regression model
4. Introduction of Time series of financial data
5. Market efficiency and predictability
6. Market microstructure. Non synchronous trading and bid- ask spread
7. CAPM, APT and multifactor models
8. Fund performance
9. Event studies
10. Present-value models
11. Term structure of interest rates
12. Volatility models