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研究生: 全瑞康
Chanvongnaraz Khampaseuth
論文名稱: 自由現金流的成長及股票流動性
Free Cash Flow Growth and Stock Liquidity
指導教授: 江明憲
Chiang, Min-Hsien
學位類別: 碩士
Master
系所名稱: 管理學院 - 國際企業研究所
Institute of International Business
論文出版年: 2023
畢業學年度: 111
語文別: 英文
論文頁數: 42
中文關鍵詞: 自由現金流的成長股票流動性韓國市場
外文關鍵詞: Free cash flow growth, Stock liquidity, Korean market, Panel data regression
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  • This paper investigates the relationship between stock liquidity and free cash flows growth of 2280 firms from 2000 to 2022. Using various indicators of stock liquidity and free cash flow growth, as well as firm size, firm performance, level of debt, and market-to-book ratio as control variables, the paper implements panel data regression to test the relationship. The paper finds that free cash flow growth has a negative significant impact on the stock liquidity while investing cash flow and financing cash flow have positive effects on stock liquidity. To test the result’s credibility, the regressions were examined alternatively with three proxies – fixed asset growth, total asset growth, and Bid-Ask spread. The paper also finds that operating cash flow has an inconsistent effect on stock liquidity across models. The paper further finds that all the control variables have significant effects on stock liquidity in all models, except for market to book ratio in one model. The paper concludes that the relationship between stock liquidity and cash flows is complex and depends on the source and use of cash flows, as well as the characteristics of the firms.

    ABSTRACT I ACKNOWLEDGMENTS II TABLE OF CONTENTS III LIST OF TABLES V LIST OF FIGURES VI CHAPTER ONE INTRODUCTION 1 CHAPTER TWO LITERATURE REVIEW 5 2.1 Introduction 5 2.2 Why Free Cash Flow Growth? 5 2.3 Hypothesis 8 CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY 11 3.1 Data Specification 11 3.2 Dependent and Independent Variable 12 3.3 Control Variables 13 3.4 Regression 15 CHAPTER FOUR ANALYSIS AND REGRESSION 16 Descriptive statistics 16 4.2 Pearson correlation matrix 17 4.3 Multicollinearity diagnostics 18 4.4 Linear regression 19 4.4.1 Linear regression with an investment growth as a proxy 21 4.4.2 Linear regression with an asset growth as a proxy 22 4.4.3 Linear regression with Bid-Ask Spread as a proxy 23 4.5 Panel data regression 24 CHAPTER FIVE CONCLUSION AND SUGGESTIONS 29 CHAPTER SIX LIMITATIONS AND SUGGESTIONS 32 6.1 Limitations 32 6.2 Recommendations 32 REFERENCES 34 APPENDICES 42

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