This paper develops a framework that analyzes how mergers and acquisitions in Alberta’s oil and gas industry affect stock prices. In this experiment, a multivariate regression is applied to several industry-specific variables to determine if they have impacts on the abnormal stock returns of acquirers. The results show that abnormal returns 5 days prior to the public announcement of the transaction are, in fact, driven by several industry-specific variables. However, the returns immediately after the M & A announcements are similar to previous research done in other industries. Acquirers’ gains 2 days after the announcement are essentially unaffected by the transaction. After a 90-day period, the share performances of acquiring firms tend to beat the index by 7% on average, but this is not thoroughly explained by the variables in the regression analysis.
| Identifer | oai:union.ndltd.org:CLAREMONT/oai:scholarship.claremont.edu:cmc_theses-1021 |
| Date | 01 January 2010 |
| Creators | Zivot, Harrison A |
| Publisher | Scholarship @ Claremont |
| Source Sets | Claremont Colleges |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | CMC Senior Theses |
Page generated in 0.0028 seconds