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dc.contributor.author遲廷峻en_US
dc.contributor.authorTing-Chun Chihen_US
dc.contributor.author王克陸en_US
dc.contributor.authorKeh-Luh Wangen_US
dc.date.accessioned2014-12-12T03:08:34Z-
dc.date.available2014-12-12T03:08:34Z-
dc.date.issued2006en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT009439504en_US
dc.identifier.urihttp://hdl.handle.net/11536/81856-
dc.description.abstract本論文主要研究樹狀模型對美式亞式選擇權之評價結果。本文針對三個樹狀模型進行比較:Hull-White(1993)、Chalasani-Jha-Egriboyun-Varikooty(1998)和Costabile-Massabó-Russo(2006)。針對這三個模型的運算時間及評價結果之關係進行比較與探討。 本文除了以上所提到的樹狀模型之外,在比較評價結果的部分還加入Dai-Huang-Lyuu(2005)及Dai-Wang-Wei(2007)之樹狀模型以及Longstaff-Schwartz (2001)的最小平方蒙地卡羅模擬方法一同進行比較,使本文的結論更具完整性。 根據本文的研究結果指出,在執行速度的部分,Hull-White(1993)樹狀模型的表現相較另外兩個模型優異。但是隨著二元樹之階段數(steps)的增加,Chalasani-Jha-Egriboyun-Varikooty(1998)、Costabile-Massabó-Russo(2006)的樹狀模型卻能提供相較Hull-White(1993)之評價模型更穩定之評價結果。 最後我們在實做的過程之中發現Costabile-Massabó-Russo(2006)文中對其評價結果的解釋可能有誤,本文則針對Costabile-Massabó-Russo(2006)之評價結果給予一個更合適的解釋。zh_TW
dc.description.abstractThis paper compares the results of the three different models which are Hull-White(1993), Chalasani et al.(1998) and Costabile-Massabó-Russo(2006). We compare the CPU time needed for each model and try to explain the relationship of their valuation. To make our result more reasonable, we add another three models for our study when comparing the price. They are Dai-Huang-Lyuu(2005), Dai-Wang-Wei(2007) and Longstaff-Schwartz (2001). Finally, in this paper, we conclude that Hull-White model performs the best in CPU time, but the other models provide relatively stable price when the number of the steps of a tree is larger.en_US
dc.language.isozh_TWen_US
dc.subject亞式選擇權zh_TW
dc.subject美式zh_TW
dc.subject選擇權zh_TW
dc.subject二元樹zh_TW
dc.subject樹狀模型zh_TW
dc.subjectbinomial treeen_US
dc.subjectasian optionen_US
dc.subjectoptionen_US
dc.subjecttree modelen_US
dc.subjectAmericanen_US
dc.subjectHull Whiteen_US
dc.title樹狀模型對美式亞式選擇權評價之比較研究zh_TW
dc.titleUsing Binomial Tree to Price American Asian Optionen_US
dc.typeThesisen_US
dc.contributor.department財務金融研究所zh_TW
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