標題: 以Hull-White短利模型建構精確多元利率樹
Accurate Multi-nomial Interest Rate Tree Model for Hull-White Term structural Model
作者: 顏妤芳
王克陸
戴天時
財務金融研究所
關鍵字: Hull-White 模型;非線性誤差;多元利率樹;Hull-White Model;Nonlinearly error;Multi-nomial Interest Rate Tree
公開日期: 2007
摘要: 本論文將以Hull-White短利模型為基礎,建造一個更為精確的多元利率樹,使得樹狀結構法在評價上造成的兩種評價誤差:分配性誤差以及非線性誤差能加以改善。除了應用求面積法將Hull-White三元樹延伸至多元樹,來減少樹狀結構評價造成的分配性誤差,主要議題將介紹一個創新的造樹方法,來減少樹狀結構評價所造成的非線性誤差。再以此造樹方法處理bond option以及Cap。
This paper proposes an accurate Multi-nomial Interest Rate Tree Model for Hull-White Term structural Model that can effectively decrease the pricing error from distribution error and nonlinearity error introduced by the lattices method. The quadrature method is use to extend the H-W trinomial tree model to a multi-nomial one to reduce the distribution error. A novel tree adjustment method is introduced to reduce the nonlinearity error. Numerical experiments on the bond options and the Cap verify the superiority of the proposed model.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT009539502
http://hdl.handle.net/11536/39346
Appears in Collections:Thesis


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