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研究生: 張陳福
Sanyoto, Triyono Yudha Hanggara
論文名稱: Intraday versus Inter-day Trading: Analysis of Market Depth, Trading Volume and Return Volatility with Holiday Effects on US and Taiwan Stock Market
Intraday versus Inter-day Trading: Analysis of Market Depth, Trading Volume and Return Volatility with Holiday Effects on US and Taiwan Stock Market
指導教授: 楊曉瑩
Yang, Ann Shawing
學位類別: 碩士
Master
系所名稱: 管理學院 - 國際經營管理研究所
Institute of International Management
論文出版年: 2015
畢業學年度: 103
語文別: 英文
論文頁數: 100
外文關鍵詞: Intraday trading, Inter-day trading, US, Taiwan, Holiday effects, Trading performances.
相關次數: 點閱:105下載:0
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  • Intraday and inter-day trading activities become so popular recently, because they have different motives and benefits to raise profits for traders or investors on the stock market (Choe & Sik Shin, 1993). Intraday trading is related with open-close sessions in one trading day; while inter-day trading is related with day by day trading on a weekday basis. This study is conducted in order to help traders and investors to analyze precisely and trade wisely either intraday or inter-day trading on the New York Stock Exchange (NYSE), and Taiwan Stock Exchange (TWSE). Study period is from January 01, 2000 to April 30, 2014 in daily basis.
    This study used some parameters that might influence the intraday and inter-day trading performances, such as market depth, trading volume, return volatility (divide it into 5 ways), and also holiday effects. Dummy variables are applied for holiday and the day of the week effects. Descriptive statistics and quantiles regressions are tested in this study as well. The results explained that market depth (MD) has positively significant, while trading volume (TV) has negatively significant influences to the trading performances. Various results are existed in the return volatility (RV) measurement. In the other hand, presence of holiday could influence the relationship of market depth, trading volume and return volatility to the intraday and inter-day trading performances; but not for the day of the week effects. Lastly, QR’s graph analysis also will be provided and compare with the OLS line.

    ABSTRACT 2 ACKNOWLEDGEMENTS 3 TABLE OF CONTENTS 5 LIST OF TABLES 7 LIST OF FIGURES 9 CHAPTER ONE INTRODUCTION 11 1.1 Background of the Study. 11 1.2 Motivation of the Study. 14 1.3 Objectives of the Study. 14 1.4 Scope of the Study. 15 1.5 Procedure and Outline of the Study. 15 CHAPTER TWO LITERATURE REVIEW 17 2.1 Intraday and Inter-day Trading Activity. 18 2.1.1 Intraday Trading. 18 2.1.2 Inter-day Trading. 19 2.2 Parameter of Trading on the Stock Market. 20 2.2.1 Market Depth. 21 2.2.2 Trading Volume. 22 2.2.3 Return Volatility. 23 2.2.4 Holiday Effects. 26 2.3 Stock Market. 27 2.4 Trading Pattern Theories. 28 CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY 36 3.1 Framework of the Study. 36 3.2 Quantile Regression. 41 3.3 Variable Selection and Data Collection. 43 CHAPTER FOUR DATA ANALYSIS AND RESEARCH RESULTS 45 4.1 Descriptive Statistics Test for US and Taiwan Panel. 46 4.2 Quantile Regression Test of Market Depth in US and Taiwan Panel. 49 4.3 Quantile Regression Test of Trading Volume in US and Taiwan Panel. 52 4.4 Quantile Regression Test of Return Volatility in US and Taiwan Panel. 55 4.4.1 Quantile Regression Test of Open to Open Return Volatility. 55 4.4.2 Quantile Regression Test of Open to Close Return Volatility. 58 4.4.3 Quantile Regression Test of Close to Open Return Volatility. 61 4.4.4 Quantile Regression Test of Close to Close Return Volatility. 64 4.4.5 Quantile Regression Test of Proxy Volatility High-Low. 67 4.5 Quantile Slope Equality Test for US and Taiwan Panel. 70 4.6 Symmetric Quantile Test for US and Taiwan Panel. 73 4.7 Graph Analysis. 75 CHAPTER FIVE CONCLUSIONS AND SUGGESTIONS 90 5.1 Research Conclusions. 90 5.2 Future Research Suggestions. 93 REFERENCES 94 APPENDICES 98

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