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研究生: Natapha Saengsupphakon
Natapha Saengsupphakon
論文名稱: Predicting merger's target in service industry companies listed in the stock exchange of Thailand
Predicting merger's target in service industry companies listed in the stock exchange of Thailand
指導教授: 謝劍平
Joseph C.P. Shieh
口試委員: 陳俊男
Chen, Chun-Nan
劉代洋
Day-Yang Liu
學位類別: 碩士
Master
系所名稱: 管理學院 - 財務金融研究所
Graduate Institute of Finance
論文出版年: 2020
畢業學年度: 108
語文別: 英文
論文頁數: 62
中文關鍵詞: Merger and AcquisitionTakeoverAcquisition LikelihoodLogistic Probability ModelThailand
外文關鍵詞: Merger and Acquisition, Takeover, Acquisition Likelihood, Logistic Probability Model, Thailand
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  • There has been a variety of research within the field of identifying targets of mergers and acquisitions in the United States, the United Kingdom, and Europe, but much less research has been conducted in Thailand. The purpose of this study is to examine the companies in the service industry in Thai to see whether the probability of the target of takeover is affected by some firm characteristic variables. The independent variables, such as profitability, firm valuation, firm size, growth, liquidity, leverage, free cash flow, and real property are used in this study to estimate the probability of a firm become targets of mergers and acquisitions. The data of this study were obtained from financial statements of listed firms in the Stock Exchange of Thailand from 2000 to 2018. The final sample composes 77 companies, consisting of 5 targets and 72 non-targets. Using the binary logistic regression models, the results show that firm valuation variables which are market-to-book ratio and price-to-earnings ratio have a statistically significant positive effect on the probability of takeover.


    There has been a variety of research within the field of identifying targets of mergers and acquisitions in the United States, the United Kingdom, and Europe, but much less research has been conducted in Thailand. The purpose of this study is to examine the companies in the service industry in Thai to see whether the probability of the target of takeover is affected by some firm characteristic variables. The independent variables, such as profitability, firm valuation, firm size, growth, liquidity, leverage, free cash flow, and real property are used in this study to estimate the probability of a firm become targets of mergers and acquisitions. The data of this study were obtained from financial statements of listed firms in the Stock Exchange of Thailand from 2000 to 2018. The final sample composes 77 companies, consisting of 5 targets and 72 non-targets. Using the binary logistic regression models, the results show that firm valuation variables which are market-to-book ratio and price-to-earnings ratio have a statistically significant positive effect on the probability of takeover.

    LIST OF CONTENTS ABSTRACT i ACKNOWLEDGEMENTS ii LIST OF CONTENTS iii LIST OF TABLES v LIST OF FIGURES vi CHAPTER1: INTRODUCTION 1 1.1. Research background 1 1.1.1. Merger and acquisitions worldwide 1 1.1.2. Merger and acquisitions in Thailand 2 1.2. Research problem 4 1.3. Research objectives 5 1.4. Scope of research 5 1.5. Organization of study 6 CHAPTER2: LITERATURE REVIEW 7 2.1. Overview of mergers & acquisitions 7 2.1.1. Definitions 7 2.1.2. Types of mergers 8 2.1.3. Motives of mergers 8 2.2. Empirical studies in takeover prediction 10 2.3. Research hypotheses 17 2.4. Empirical approach 22 CHAPTER3: METHODOLOGY 24 3.1. Data 24 3.1.1. Data source 24 3.1.2. Sample size 24 3.2. Variables 25 3.2.1. Dependent variable 25 3.2.2. Independent variables 25 3.3. Model estimates 28 CHAPTER4: RESULTS AND ANALYSIS 30 4.1. Descriptive statistic 30 4.2. Multicollinearity 32 4.3. Model estimation results 33 4.3.1. Logit acquisition likelihood models results 33 4.3.2. Interpretation of the results coefficients 34 4.4. Target companies analysis 38 CHAPTER5: CONCLUSION AND RECOMMENDATION 43 5.1. Conclusion 43 5.2. Limitation 46 5.3. Recommendations for future research 47 REFERENCES 48 APPENDICES 51 Appendix A: Lists of companies in service industry that being merged 51 Appendix B: Lists of non-target companies in service industry 51 Appendix C: Composition of estimation sample by sector 53

    REFERENCES

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