03.02.2016 bis 29.02.2016
Hinweise zur LV
|Donnerstag||10.03.2016||13:00 - 15:00||D4.0.019|
|Donnerstag||17.03.2016||13:00 - 15:00||D4.0.019|
|Donnerstag||24.03.2016||13:00 - 15:00||D4.0.019|
|Donnerstag||31.03.2016||13:00 - 15:00||D4.0.019|
|Donnerstag||07.04.2016||13:00 - 15:00||D4.0.019|
|Montag||09.05.2016||09:00 - 18:00||D4.4.213|
|Dienstag||10.05.2016||09:00 - 18:00||D4.4.008|
|Mittwoch||11.05.2016||09:00 - 11:00||D4.4.141|
|Mittwoch||11.05.2016||11:00 - 18:00||D4.4.008|
|Donnerstag||12.05.2016||09:00 - 18:00||D4.4.008|
|Freitag||13.05.2016||08:00 - 14:00||D4.0.019|
|Freitag||13.05.2016||10:30 - 15:00||D4.4.008|
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The Ph.D. class in empirical corporate finance provides an overview of major topics in empirical corporate finance, including capital structure, payout policy, internal capital markets, venture capital and initial public offerings, the market for corporate control, and internal corporate governance. Syllabus
The advantage of the broad, topics‐based approach used in this course is that students will be exposed to a wide range of topics, hopefully wetting their appetites for further exploration (on their own, using the reading list).
Each teaching day consists of two classes of 90 minutes. For 6 of those days, I would like one of you topresent the key findings and approaches of three interesting papers in the area. These are marked with“***” in the reading list. I expect students to have a Power Point presentation that lasts 15 to 25 minutes per paper (but NO LONGER than 25 minutes per paper). You should also distribute a short‐write-up of not more than two double‐spaced pages on the key findings of each paper for the other students. You should choose a single table that you consider most important in each paper.
- Presentation and write‐up will be graded and will count 40% towards your final grade.
- Problem set counting 40% towards your final grade.
- Referee report counting 20% towards your final grade.
To be announced!
I expect you to have some basic knowledge of econometrics and to be able to do some regression analysis using Stata, SAS, or another software of your choice. You are expected to have a basicknowledge of corporate finance at the level of an MBA textbook such as Berk and deMarzo (Corporate Finance) or Brealey, Myers, and Allen (Principles of Corporate Finance). If you do not, I would suggest reading either book in parallel to the lectures.
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Zuletzt bearbeitet: 12.01.2016