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    政大機構典藏 > 商學院 > 金融學系 > 學位論文 >  Item 140.119/85398
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/85398


    Title: 隨機利率模型下台灣公債市場殖利率曲線之估計
    Yield Curve Estimation Under Stochastic Interest Rate Modles :Taiwan Government Bond Market Empirical Study
    Authors: 羅家俊
    Lo, Chia-Chun
    Contributors: 廖四郎
    Liao, Szu-Lang
    羅家俊
    Lo, Chia-Chun
    Keywords: 隨機利率
    殖利率
    一般動差法
    台灣公債市場
    stochastic interest rate
    yield curve
    GMM
    Taiwan Government Bond Market
    Date: 2001
    Issue Date: 2016-04-18 16:27:56 (UTC+8)
    Abstract: 隨著金融市場的開放,越來越多的金融商品被開發出來以迎合市場參予者的需求,利率衍生性金融商品是一種以利率為標的的一種新金融商品,而這種新金融商品的交易量也是相當的可觀。我們在設計金融商品的第一步就是要去定價,在現實社會中利率是隨機波動的而不是像在B-S的選擇權公式中是固定的。隨機利率模型的用途就是在描述利率隨機波動的行為,進而對利率衍生性金融商品定價。本文嘗試以隨機利率模型估計台灣公債市場的殖利率曲線,而殖利率曲線的建立對於固定收益證券及其衍生性金融商品的定價是很重要的。在台灣大部分的利率模型的研究都是利用模擬的方式做比較,這也許是因為資料取得上的問題,本文利用CKLS(1992)所提出的方式以GMM(Generalized Method of Moment)的估計方法,利用隨機利率模型估計出台灣公債市場的殖利率曲線。本文中將三種隨機利率模型做比較他們分別為: Vasicek model (Vasicek 1977),、隨機均數的Vasicek 模型 (BDFS 1998) ,以及隨機均數與隨機波動度的Vasicek 模型 (Chen,Lin 1996). 後面兩個模型是首次出現在台灣的研究文獻中。在本文的附錄中將提出如何利用偏微分方程式(PDE)的方法求解出這三個模型的零息債券價格的封閉解(Closed-Form Solution)。文中利用台灣商業本票的價格當作零息債券價格的近似值,再以RMSE (Root mean squared Price Prediction Error)作為利率模型配適公債市場價格能力的指標。本文的主要貢獻在於嘗試以隨機利率模型估計出台灣公債市場的殖利率曲線,以及介紹了兩種首次在台灣研究文獻出現的利率模型,並且詳細推導其債券價格的封閉解,這對於想要建構一個新的隨機利率模型的研究人員而言,這是一個相當好的一個練習。
    With the growth in the area of financial engineering, more and more financial products are designed to meet demands of the market participants. Interest rate derivatives are those instruments whose values depend on interest rate changes. These derivatives form a huge market worth several trillions of dollars.
    Reference: Black, F., Derman, E., and Toy, W.: “A One-Factor Model of Interest Rates and its Application to Treasury Bond Options”. Financial Analysis Journal, 33-39, 1990.
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    Description: 碩士
    國立政治大學
    金融研究所
    88352007
    Source URI: http://thesis.lib.nccu.edu.tw/record/#A2002001541
    Data Type: thesis
    Appears in Collections:[金融學系] 學位論文

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