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研究生: 蔡育修
YU-HSIU TSAI
論文名稱: 結構轉換點前後的股票市場效率性及外溢效果─以台灣大盤指數跟美國那斯達克指數為例
The Market Efficiency and Spillover Effect before and after the Structural Breaks Occur - Using TAIEX and NASDAQ Composite Indices
指導教授: 繆維中
Wei-Chung Miao
口試委員: 張琬喻
Woan-Yuh Jang
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: 2010
畢業學年度: 98
語文別: 中文
論文頁數: 69
中文關鍵詞: ICSS演算法市場效率VAR模型
外文關鍵詞: ICSS algorithm, market efficiency, VAR model
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  • 本研究旨在探討於1997年7月至2009年10月間,台灣大盤指數跟美國那斯達克指數間在波動率突然發生變動時,對報酬率的外溢效果跟效率性。主要以時間序列之方法進行分析,特別是─向量自我迴歸模型 (VAR)跟 ICSS演算法做實證分析。實證分析的結果如下:
    1. 由 ICSS演算法偵測個別市場波動率突然變動的發生時點,大多與個別國家的政治、經濟及社會環境有關,除非是全球性事件才會有相近的時點。
    2. 在結構轉換點發生之後,台灣股票市場的效率性有提高的現象,但美國那斯達克市場的效率性跟發生結構轉換點之前變化並不顯著。
    3. 隨著時間的演進,美國跟台灣大盤間報酬率的相互影響關係有增加之趨勢。


    In this thesis, we investigate the market efficiency and the spillover effect caused by the structural breaks occurring in TAIEX and NASDAQ between July, 1997 and October, 2009. The methodology we use in this research is the time series approach, in particular, the VAR model and the ICSS algorithm. Our main findings from this empirical study are summarized as follows. Firstly, most of the volatility shift time points detected by the ICSS algorithm are connected with local economy and policy, while just a few of them are related to global environment. Secondly, the market efficiency of TAIEX is found to increase after the volatility shift points, but in contrast the market efficiency of NASDAQ tends to remain at the same level. Finally, the interrelationship between TAIEX and NASDAQ has shown a gradually increasing trend during the time interval considered in this study.

    中文摘要 I ABSTRACT II 目錄 III 圖目錄 V 表目錄 VII 第一章 緒論 1 第一節 研究動機 1 第二節 研究目的與範圍 2 第三節 研究流程與架構 3 第二章 文獻回顧 5 第一節 波動對於市場的影響 5 第二節 不同金融市場間的波動、價格外溢關係與影響 7 第三章 研究方法 12 第一節 ICSS演算法 12 第二節 單根檢定 14 第三節 向量自我迴歸模型 (VAR) 16 第四節 VAR最適落後期數的選取 18 第五節 Granger causality 因果關係 19 第六節 衝擊反應函數 (Impulse Response Function) 20 第七節 預測誤差變異數分解 22 第四章 實證結果分析 24 第一節 變數說明與樣本選取 24 第二節 單根檢定 25 第三節 ICSS演算法 26 第四節 敘述性統計 31 第五節 向量自我迴歸模型 (VAR) 33 第五章 結論與建議 54 第一節 研究結論 54 第二節 研究建議 55 參考文獻 56

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