| 研究生: |
陳韋丞 Chen, Wei Cheng |
|---|---|
| 論文名稱: |
企業創新於併購上的價值分析 Do Mergers for Innovation Create Value for Investors? |
| 指導教授: | 湛可南 |
| 學位類別: |
碩士
Master |
| 系所名稱: |
商學院 - 財務管理學系 Department of Finance |
| 論文出版年: | 2013 |
| 畢業學年度: | 102 |
| 語文別: | 英文 |
| 論文頁數: | 55 |
| 中文關鍵詞: | 併購 、創新 、事件研究法 |
| 外文關鍵詞: | Calendar time portfolio |
| 相關次數: | 點閱:160 下載:97 |
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Through overviewing the merger waves during the last century, we know the latest two waves result mainly from technological innovation. With the presence of M&A market, acquirers are able to gain innovation capacities by taking over innovative targets. Innovation is considered to be a source of synergies and a major motive for M&A decision. Therefore, my research focuses on whether acquisitions for innovation create value for investors in short-term and long-term perspective.
By using various innovation measures, I employ event study and calendar time portfolio to examine the significance of abnormal returns. I find the abnormal returns of bidding innovative targets do not show significant difference from the peers in short-term market reaction. However, in the long-run, the group with innovative targets reports significant abnormal returns. Under multiple regression analysis, I find patent counts, total citations, and citation-weighted patent counts have positive relation with abnormal returns under WLS procedure, while only average citation yields the most consistent result under both OLS and WLS. Lastly, I confirm the relation between abnormal return and average citation measure by employing calendar time portfolio approach.
Contents
Abstract 2
List of Tables 3
Chapter 1. Introduction 4
1.1. Motivation and Objective 4
1.2. Procedure of the Study 6
Chapter 2. Literature Review 7
2.1. M&A Return Performance 7
2.2. Outsourcing Innovation 9
Chapter 3. Methodology and the Data 14
3.1. Construction of Data 14
3.1.1. Sample Formation 14
3.1.2. Innovation Variables 15
3.1.3. Controlling Variables 18
3.2. Methodology 22
3.2.1. Event Study 22
3.2.2. Multiple Regression Analysis 25
3.2.3. Calendar Time Portfolio 26
Chapter 4. Empirical Result 27
4.1. Descriptive Statistics 27
4.2. Short-term Perspective 30
4.3. Long-term Perspective 34
4.4. Calendar Time Portfolio 46
Chapter 5. Conclusion 50
5.1. Summary of the Study 50
5.2. Suggestions for Further Studies 52
References 54
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