Several times a year companies publish business reports to openly account for their business activities. This thesis examines the effect of those business reports on stock prices of businesses in the German automotive industry. Different statistical methods such as Event Coincidence Analysis and Superposed Epoch Analysis are used to examine possible negative and positive reactions of stock prices before and after the disclosure of business reports. It shows that there seems to be a stronger influence of a negative business report on the daily abnormal rate of return than of a positive business report. Furthermore the thesis confirms the hypothesis of Roeder that the information from a business report is processed not only on the day of publication but also on the day after.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:29926 |
| Date | 01 November 2016 |
| Creators | Rimatzki, Florian |
| Contributors | Donner, Reik, Okhrin, Ostap, Hirte, Georg, Technische Universität Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | German |
| Detected Language | English |
| Type | doc-type:bachelorThesis, info:eu-repo/semantics/bachelorThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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