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研究生: 秦秀琪
論文名稱: 以變異數比率法檢定指數選擇權之買賣權平價理論——馬可夫狀態轉換模型之應用
指導教授: 杜化宇
none
學位類別: 碩士
Master
系所名稱: 商學院 - 財務管理學系
Department of Finance
論文出版年: 2003
畢業學年度: 91
語文別: 中文
論文頁數: 78
中文關鍵詞: 馬可夫狀態轉換模型買賣權平價理論變異數比率檢定法股利不勸定性
外文關鍵詞: Markov Regime Switching Model, Put-Call Parity, Variance Ratio Test, Dividend Uncertainty
相關次數: 點閱:103下載:52
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  • 本研究目的在於探討Put-Call Parity(PCP)所隱含的買權、賣權與標的資產間的價格變動關係。藉由探討PCP偏差程度的動態行為,推論若PCP的偏差為隨機漫步過程,則無法達到長期穩定,隱含PCP的廣義關係無法成立;反之,若PCP的偏差具有回歸平均特性,表示長期會達到穩定狀態,則PCP的廣義關係成立。
    在研究方法上本文以變異數比率法檢定指數選擇權的PCP偏差是否為隨機漫步過程,採用隱含利率和實際無風險利率的差代表PCP的偏差程度,利用馬可夫轉換模型描繪PCP偏差的動態行為,並使用Gibbs Sampling演算法說明參數的不確定性。
    本文以S&P500和DAX為研究標的,並探討股利不確定性是否影響PCP廣義關係,得到下列結論:
    1、對於S&P 500指數選擇權而言,不論是以日資料或週資料估計VR,S&P 500的PCP偏差都無法提供回歸平均的證據,隱含S&P 500的PCP廣義關係無法成立。
    2、對於DAX指數選擇權而言,檢定日資料的結果發現,DAX之PCP偏差在長期時(40~50日)有明顯的回歸平均的證據;而在檢定週資料時,使用原始資料法在90%信心水準下,不論取任何lag都可拒絕虛無假設,使用標準化資料則無法提供明顯的回歸平均證據。
    3、比較S&P 500和DAX,檢定日資料與週資料的結果都發現,DAX的p-value都比S&P 500小,並且S&P 500的PCP偏差都無法提供回歸平均的證據,而DAX有明顯回歸平均現象,隱含在消除股利的不確定性後,指數選擇權PCP的廣義關係式成立之證據較強烈。


    第一章緒論1
    第一節研究動機與目的1
    第二節研究方法2
    第三節研究架構3
    第二章理論基礎與文獻探討6
    第一節變異數比率檢定(Variance Ratio Test)6
    第二節VR的同質性變異與異質性變異的樣本分配8
    第三章研究方法18
    第一節歐式指數選擇權之Put-Call Parity18
    第二節以馬可夫轉換模型描繪PCP偏差的動態行為24
    第三節估計馬可夫轉換模型的參數及狀態變數28
    第四節估計Variance Ratios的樣本分配38
    第四章實證結果42
    第一節研究標的42
    第二節資料選取44
    第三節使用馬可夫轉換模型的適當性48
    第四節Variance Ratio檢定結果58
    第五章總結與結論71
    第一節總結71
    第二節結論73

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