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http://arks.princeton.edu/ark:/88435/dsp01s4655k203
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DC Field | Value | Language |
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dc.contributor.advisor | Farboodi, Maryam | - |
dc.contributor.author | Kuenne, Peter | - |
dc.date.accessioned | 2017-07-18T18:28:19Z | - |
dc.date.available | 2017-07-18T18:28:19Z | - |
dc.date.created | 2017-04-11 | - |
dc.date.issued | 2017-4-11 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01s4655k203 | - |
dc.description.abstract | This paper expands on the framework of the M&A literature on firm knowledge bases to include indicators of both innovative and economic performance. Using a Poisson regression analysis on a dataset of high-tech M&As, the effects of the absolute size of an acquired knowledge base, the relative size of the acquired knowledge base, and the level of knowledge similarity are studied against a set of performance measures including innovation output, return on assets, and stock returns. The results suggest that the size of the acquired knowledge base has a positive effect on innovative output and a potential negative effect on long term returns. The relative size of the acquired knowledge base has a negative effect on innovation output and an insignificant effect on both economic indicators. The level of knowledge similarity has a positive effect on innovation output but a negative effect on short term returns. Taken together, the re- sults suggest while the acquired knowledge has a positive effect on innovation output, it has an insignificant or in some cases negative impact on economic performance | en_US |
dc.language.iso | en_US | en_US |
dc.title | M&A Knowledge Base Effects | en_US |
dc.type | Princeton University Senior Theses | - |
pu.date.classyear | 2017 | en_US |
pu.department | Economics | en_US |
pu.pdf.coverpage | SeniorThesisCoverPage | - |
pu.contributor.authorid | 960862230 | - |
pu.contributor.advisorid | 960188452 | - |
pu.certificate | Finance Program | en_US |
Appears in Collections: | Economics, 1927-2020 |
Files in This Item:
File | Size | Format | |
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ECO_THESIS_PKUENNE.pdf | 341.18 kB | Adobe PDF | Request a copy |
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