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研究生: 邱菡婷
Chiu, Han-Ting
論文名稱: 應用股票市場委託單不均衡於期貨市場當沖交易策略之研究
The Application of Order Imbalance in the Stock Market for a Day-traded Strategy in the Futures Market
指導教授: 陳俊男
Chen, Chun-Nan
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: 2009
畢業學年度: 97
語文別: 英文
論文頁數: 47
中文關鍵詞: 當沖交易市場微結構委託單不均衡內部訊息隱藏性交易假說
外文關鍵詞: Inside information, Order imbalance, Stealth trading hypothesis, Day trade, Market microstructure
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  • 本研究應用期貨市場中內部訊息與委託單不均衡的概念,形成一套可實行的當沖交易策略。隱藏性交易假說指出,內部訊息交易者傾向於選擇成交量大的時間進行交易,藉此隱藏其持有的內部資訊,而機構投資人相較於一般投資人來說,擁有較多的訊息。由於委託單不均衡與價格波動具有顯著的相關,本研究利用委託單不均衡的概念,設計一套可捕捉內部訊息交易行為的當沖交易策略。資料樣本為2001年一月至2007年十二月間台灣加權股價指數以及指數期貨的每五分鐘交易資料。從敏感性分析結果顯示,利用委託單不均衡來捕捉內部訊息交易行為的當沖交易策略可達到顯著的獲利。此一實證結果與效率市場假說和一般華爾街概念相左,顯示即使考慮交易成本,市場上仍存在著一些可獲利的當沖交易策略。

    This study utilizes the information shown in insider trading and order imbalance to develop a profitable trading strategy for day traders. Stealth-trading hypothesis suggests that informed investors prefer trading when the liquidity trading is concentrated and that institutional investors are more informed than individual investors. Specifically, this strategy is designed to follow the trading behavior of informed investors implicitly shown in order imbalance, which is proved to be significantly related to price volatility. Then, the strategy is tested by using the data set from Taiwan Index Stock Futures (TX) during the sample period from Jan. 2001 to Dec. 2007. The empirical results in sensitivity analysis demonstrate that by capturing the implied information in insiders’ trading and order imbalance, this strategy is robustly profit. Against market’s efficiency and Wall Street wisdom, our back testing results confirm that there exists some profitable day-traded strategies even though the transaction cost is considered.

    1. Introduction 1 2. Literature Review 4 2.1 Insider Trading 4 2.1.1 Stealth-Trading 4 2.1.2 Insider Trading and Trading Volume 5 2.2 U-shaped Pattern 5 2.3 Order Imbalance 6 2.4 Day Trade 8 3. Data and Methodology 9 3.1 Data 9 3.2 Methodology 10 3.2.1 Margin and Transaction Cost 10 3.2.2 Variables 11 3.2.3 Trading Strategy 11 3.2.4 Performance Measurement 15 3.2.5 Measuring U-shaped Pattern of TAIEX 17 4. Empirical Results 19 4.1 Descriptive Statistics 19 4.2 Trading Volume Analysis 20 4.3 Performance Analysis 21 4.3.1 Performance Summary 21 4.3.2 Time Path of Net Profit 23 4.3.3 Daily Payoff Regression Analysis 26 4.3.4 Distribution of Cumulative Payoff per Five Minutes 26 4.3.5 Regression of Intraday Five-minute Payoff 29 4.4 Sensitivity Analysis 29 4.4.1 Sub-period 30 4.4.2 Moving Average 30 4.4.3 Opportunity Cost 31 4.5 Stop-loss Strategy 32 5. Conclusions 34 References 36 Appendix 39

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