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  1. NTU Theses and Dissertations Repository
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  3. 財務金融學系
Please use this identifier to cite or link to this item: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/19516
Title: 利用兩維度Cox-Ingersoll-Ross模型分解公司債溢酬以高盛為例
Corporate Yield Spread Decomposition with two-dimensional Cox-Ingersoll-Ross Model and Goldman Sachs Case Study
Authors: Yin-Jen Chen
陳膺任
Advisor: 李賢源
Keyword: 公司債溢酬分解,流動性風險溢酬,信用風險溢酬,信用違約交換,公司債溢酬評價,
Corporate Bond Yield Decomposition,Liquidity Risk Premium,Credit Risk Premium,Credit Default Swap,Corporate Yield Pricing,
Publication Year : 2014
Degree: 碩士
Abstract: 本文旨在延伸Lonstaff (2005) 公司債溢酬分解模型。藉由放寬信用風險溢酬與流動性溢籌彼此統計獨立的假設,本研究得以探討兩者互動的情形,然而放寬假設卻有可能使得公司債定價失去解析解,因此利用 Brigo and Alfonsi (2005) 提出的近似公式以逼近理論公司債。由於該模型涉及到的參數大多無法直接從市場觀察而來,這使得參數估計變得更加困難,因此本研究另外提供方法去推估合理的參數值區域,最後輔以實際例子供示範之用。
This paper is primarily intended to generalize the framework of Longstaff (2005) by regarding the default intensity process and liquidity process a two-dimensional correlated CIR process. However, we may lose the analytically tractable solution of the defaultable bond with such modifications. Consequently, we implement a Gaussian dependence mapping proposed by Brigo and Alfonsi (2005). Besides, we provide a technique to sketch the possible region where parameters will fall in case of parameter identification problems. Finally, we offer a case study to illustrate those methods in practice.
URI: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/19516
DOI: 10.6342/NTU201600163
Fulltext Rights: 未授權
Appears in Collections:財務金融學系

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