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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  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
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???org.dspace.app.webui.jsptag.ItemTag.dcfield???ValueLanguage
dc.contributor.advisor李賢源
dc.contributor.authorYin-Jen Chenen
dc.contributor.author陳膺任zh_TW
dc.date.accessioned2021-06-08T02:02:59Z-
dc.date.available2030-01-01-
dc.date.copyright2016-07-06
dc.date.issued2014
dc.date.submitted2016-04-06
dc.identifier.citation1. Nashikkar A., Subrahmanyam M. G., and Mahanti S., “Liquidity and Arbitrage in the Market for Credit Risk”, Journal of Financial and Quantitative Analysis, 46 (2011), pp.627–656.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/19516-
dc.description.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。zh_TW
dc.description.abstractThis 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.en
dc.description.provenanceMade available in DSpace on 2021-06-08T02:02:59Z (GMT). No. of bitstreams: 1
ntu-103-R01723051-1.pdf: 1209727 bytes, checksum: 08f68673bf71db1f8a87651f5a1800c8 (MD5)
Previous issue date: 2014
en
dc.description.tableofcontentsI.Introduction………………………………………………………………………1
II.Literature Review……………………………………………………………...4
1. Credit-Pricing Model…………………………………………………………..5
2. Yield Spread Determinant……………………………………………………..7
3. Liquidity Measurement……………………………………………………......7
4. Control for Credit Risk via Credit Default Swap Premium…………………...8
III.Methodology…………………………………………………………………...9
1. Model-Setting……………………………………………………………….....9
2. Gaussian Dependent Mapping……………………………………………….14
3. Solution of Bond Price and Credit Default Swap Premium………………….17
IV.Goldman Sachs Case Study…………………………………………….....19
1. Data…………………………………………………………………………..20
2. Estimation Procedure………………………………………………………...23
3. Parameter Identification Technique…………………………………………..26
4. Results………………………………………………………………………..30
V.Concluding Remarks………………………………………………………...33
Appendix…………………………………………………………………………..34
References………………………………………………………………………....45
dc.language.isoen
dc.title利用兩維度Cox-Ingersoll-Ross模型分解公司債溢酬以高盛為例zh_TW
dc.titleCorporate Yield Spread Decomposition with two-dimensional Cox-Ingersoll-Ross Model and Goldman Sachs Case Studyen
dc.typeThesis
dc.date.schoolyear104-2
dc.description.degree碩士
dc.contributor.oralexamcommittee邱嘉洲,鍾懿芳
dc.subject.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,zh_TW
dc.subject.keywordCorporate Bond Yield Decomposition,Liquidity Risk Premium,Credit Risk Premium,Credit Default Swap,Corporate Yield Pricing,en
dc.relation.page50
dc.identifier.doi10.6342/NTU201600163
dc.rights.note未授權
dc.date.accepted2016-04-06
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept財務金融學研究所zh_TW
dc.date.embargo-terms2030-01-01
Appears in Collections:財務金融學系

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