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研究生: 詹富任
Chan, Fu-Jen
論文名稱: 探討動能策略與籌碼集中度對於股票報酬的影響-以臺灣市場為例
A Study on the Effect of Momentum Strategy and the Stake Concentration Ratio on the Stock Returns: Evidence from the Taiwan Stock Market
指導教授: 顏盟峯
Yen, Meng-Feng
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: 2017
畢業學年度: 105
語文別: 英文
論文頁數: 43
中文關鍵詞: 動能策略籌碼集中度過度反應
外文關鍵詞: Momentum strategy, Stake concentration ratio, Over-reaction
相關次數: 點閱:150下載:44
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  • 自Jegadeesh和Titman(1993)發展出動能策略之後,有大量的研究指出此策略在不同市場中皆可帶來顯著的報酬。因此,此研究將探討其應用於臺灣市場之實證性,同時亦將運用僅揭露於臺灣市場之籌碼集中度資料測試其是否可帶來高於動能策略之報酬。實證結果顯示以籌碼集中度資料篩選投資組合,確實可為投資人帶來超額報酬。最後,此研究以臺灣上市公司股票建構二階段的篩選模型,先以股票之過去報酬高低將樣本分為五等分,接著進一步以股票籌碼集中度資料作為第二階段篩選,將每等分樣本再細分為三等分。經篩選後之股票,以買進最高動能且最高籌碼集中度及放空最低動能且最低籌碼集中度之多空對沖策略投資,發現其可帶來顯著的超額報酬。

    A significant number of studies argue that the momentum strategy developed by Jegadeesh and Titman (1993) can result in significant profits in different markets. Therefore, test this supposition in this thesis to determine if this finding is robust in the context of the Taiwan stock market. In parallel with the momentum strategy, we use unique data only available in the Taiwan stock market, i.e. the “stake concentration ratio (SCR, hereafter),” to determine whether the SCR can further enhance the performance of the momentum strategy. Our empirical results tend to suggest that using the SCR can bring positive abnormal returns for investors. Finally, we form a two-dimensional stock-picking criterion by ranking all candidate stocks into quintiles by their past returns first and then into tertiles by their SCR. In particular, a long/short strategy by going long in the top momentum-top SCR portfolio and going short in the bottom momentum-bottom SCR portfolio is created and found to bring significant, positive abnormal returns.

    摘要 I Abstract II Contents III List of Tables IV Chapter 1. Introduction 1 Chapter 2. Literature Review 3 Chapter 3. Data and Methodology 7 3.1 Data 7 3.2 Definition of Variables 7 3.3 Portfolio Construction 8 Chapter 4. Empirical Results 11 4.1 Performance of Strategies 11 4.2 Robustness Check 15 Chapter 5. Conclusions and Suggestions 18 References 21 Appendix 38

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