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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 國際企業學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/26786
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor郭震坤(Cheng-Kun Kuo)
dc.contributor.authorChao-Yuan Linen
dc.contributor.author林昭元zh_TW
dc.date.accessioned2021-06-08T07:25:33Z-
dc.date.copyright2008-08-08
dc.date.issued2008
dc.date.submitted2008-07-15
dc.identifier.citation一、英文部分
Acoleyen, Katrien Van, 2001, “TORUS S.A.”, Working Paper, Standard & Poor's, March
Amin, K., and A. Morton, 1993, “Implied Volatility Functions in Arbitrage Free Term StructureModels,” forthcoming in Journal of Financial Economics.
Ammann, M,2001,Credit Risk Valuation, Methods Models,and applications,Springer finance.
Andersen, P. K., and O. Borgan, 1985, “Counting Process Models for Life History Data: A Review,”Scandinavian Journal of Statistics, 12, 97–158.
Anderson, W. J., 1991, Continuous-Time Markov Chains, Springer, New York.
Black, F., and J. Cox, 1976, “Valuing Corporate Securities: Some Effects of Bond Indenture Provisions,” Journal of Finance, 31, 351–367.
Black, F., E. Derman, and W. Toy, 1990, “A One-Factor Model of Interest Rates and Its Application to Treasury Bond Options,” Financial Analysts Journal, 46(1), 33–39.
Black, F., and M. Scholes, 1973, “The Pricing of Options and Corporate Liabilities,” Journal of Political Economics, May, 637–659.
Chance, D., 1990, “Default Risk and the Duration of Zero Coupon Bonds,” Journal of Finance,45(1), 265–274.
Cox, J., J. Ingersoll, and S. Ross, 1985, “A Theory of the Term Structure of Interest Rates,”Econometrica, 53, 385–407.
Cox, D., and H. Miller, 1972, “The Theory of Stochastic Processe”s, Chapman and Hall, London.
Das, S. R., and P. Tufano, 1995, “Pricing Credit-Sensitive Debt When Interest Rates, Credit Ratings,and Credit Spreads are Stochastic,” unpublished manuscript, Harvard University.
Duffie, Darrell, and Kenneth J. Singleton (1999), “Modeling the Term Structures of Defaultable Bonds”, Review of Financial Studies, 12, 687-720.
Group of Thirty, 1993, Derivatives: Practices and Principles, report by the Global Derivatives
Study Group, Group of Thirty, Washington, D.C.
Fons, J., and A. Kimball, 1991, “Corporate Bond Defaults and Default Rates 1970–1990,” Journal of Fixed Income, June, 36–47.
Freydefont, M, 2001, “An Approach to Credit Risk Valuation for Structured and Project Finance Transactions”, Journal of Project Finance, New York: Winter .Vol.6, Iss. 4
Geske, R., 1979, “The Valuation of Compound Options,” Journal of Financial Economics, March,63–81.
Harrison, J. M., and S. Pliska, 1981, “Martingales and Stochastic Integrals in the Theory of Continuous Trading,” Stochastic Processes and Their Applications, 11, 215–260.
Heath, D., R. Jarrow, and A. Morton, 1992, “Bond Pricing and the Term Structure of Interest Rates:
A New Methodology for Contingent Claims Valuation,” Econometrica, 60, 77–105.
Hull, J., and A. White, 1991, “The Impact of Default Risk on Option Prices,” working paper, University of Toronto.
Jarrow, R., and S. Turnbull, 1995, “Pricing Derivatives on Financial Securities Subject to Credit Risk,” Journal of Finance, 50, 53–86.
Jarrow, Robert A., David Lando, and Stuart M. Turnbull (1997), “A Markov Model for the Term Structure of Credit Risk Spreads”, Review of Financial Studies, 481-523.
Jones, E., S. Mason, and E. Rosenfeld, 1984, “Contingent Claims Analysis of Corporate Capital Structures: An Empirical Investigation,” Journal of Finance, 39, 611–627.522
Karlin, S., and H. Taylor, 1975, A First Course in Stochastic Processes (2nd ed.), Academic Press,San Diego.
Kevin, Kelhoffer and Roger J. Bos, 2002, “Ultimate Recovery Remains High for Well-Structured Debt, Dropping for Poorly Structured Debt”, RatingsDirect, Standard & Poor's, January
Kijima, Masaaki and Katsuya Komoribayashi, 'A Markov Chain Model for Valuing Credit Risk Derivatives', Journal of Derivatives, Vol. 6, No. 1, Fall 1998, pp. 97-108.
Kodera, E.(2001), 'A Markov Chain Model with Stochastic Default Rate for Valuation of Credit Spreads', Journal of Derivatives, Vol.8,
Lando, D., 1994, Three Essays on Contingent Claims Pricing, Ph.D. thesis, Cornell University.
Litterman, R., and T. Iben, 1991, “Corporate Bond Valuation and the Term Structure of Credit Spreads,” Financial Analysts Journal, Spring, 52–64.
Longstaff, F., and E. Schwartz, 1992, “Valuing Risky Debt: A New Approach,” working paper, UCLA.
Lucas, D., and J. Lonski, 1992, “Changes in Corporate Credit Quality 1970–1990,” The Journal of Fixed Income, March, 7–14.
Lyn C. Thomas, David E. Allen, “A hidden Markov chain model for the term structure of bond credit risk spreads”, International Review of Financial Analysis , 11, 311-329
McQuown, J. A., 1993, “A Comment on Market vs. Accounting-Based Measures of Default Risk,” KMV Corporation, 1-17.
Merton, R. C., 1974, “On the Pricing of Corporate Debt: The Risk Structure of Interest Rates,”Journal of Finance, 2, 449–470.
Moody’s Special Report, 1992, Corporate Bond Defaults and Default Rates, Moody’s Investors Service, New York.
Nielsen, L., J. Saa-Requejo, and P. Santa-Clara, 1993, “Default Risk and Interest Rate Risk: The Term Structure of Default Spreads,” working paper, INSEAD.
Resnick, S., 1992, Adventures in Stochastic Processes, Birkhauser, Boston.
Seneta, E., 1973, Non-negative Matrices, Wiley, New York.
Shimko, D., N. Tejima, and D. vanDeventer, 1993, “The Pricing of Risky Debt When Interest Rates are Stochastic,” Journal of Fixed Income, September, 58–66.
Standard & Poor’s Credit Review, 2006, Corporate Default, Rating Transition Study Updated.
Vasieck, and Aoldrich. A . (1977). An Equilibrium Characterization of the Term Structure. Journal of Financial Economics 5 (November), pp. 177–88.
Zhou, C, “Default Correlations: An Analytic Result,” Federal Reserve Board, Wash-ington D.C., Finance and Economics Division, Series No. 1997-27.

二、中文部分
1. 中國信託商業銀行網站,http://consumer.chinatrust.com.tw。
2. 台灣經濟新報網站, http://www.tej.com.tw/。
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/26786-
dc.description.abstract本研究以具馬可夫過程(Markov process)的簡化模型(reduced form model),檢驗臺灣經濟新報中取得的公司債殖利率指標之正確性。本研究主要是依據Jarrow及Turnbull在1995年發表的簡化模型,其假設破產過程為一服從離散的公司信用評等的轉變,而此信用評等的轉變為一馬可夫鏈。此模型最大好處是可以直接使用可觀察到的資料,例如透過違約機率的計算以求得信用風險債券的價格,無需計算公司資產。本研究使用臺灣經濟新報中過去六年臺灣上市上櫃公司的信用評等改變資料及由臺灣經濟新報得到公司債殖利率指標,導入簡化模型中,可以預測未來公司債的殖利率指標。本研究稱之為殖利率指標理論值,再以此理論值與由臺灣經濟新報中取得的公司債殖利率指標比較,討論是否有產生錯詁的可能。實證分析之後發現實際殖利率指標皆高於理論值,推測有兩個原因:一、模型假設與資料使用的限制;二、經濟因素。
經由實證研究後,在現今的臺灣債券市場中,本研究雖不認為JLT模型可以直接應用於預測上,但冀望未來當市場漸趨成熟,而相關資料也較完整時,JLT模型會對臺灣公司債市場的變化,會有更佳的預測能力。
zh_TW
dc.description.abstractThis article provides a Markov process for the reduced form model to test the accuracy of the risky bond yield index gotten from TEJ (Taiwan Economic Journal) data base. The model is based on Jarrow and Turnbull (1995), with the bankruptcy process following a discrete state space Markov chain in credit ratings. The parameters of this model are easily estimated by observable data. For example, through calculating the probability of default, the risky bond price could be applied without evaluating the company’s asset. This article uses two kinds of data from TEJ data base. One is the credit rating change data of Taiwan Publicly traded companies in the past six years, and the other is risky bond yield index. Using these data in reduced form model, we get the theoretical risky bond yield index. To ompare the difference between actual and theoretical risky bond yield index, we discuss the probability of the misestimating. After the real diagnosis analysis, the actual risky bond yield index is found to be larger than theoretical index. Two master factors are predicted: First, the constraints from the hypothesis of model and data source and second, some economic factors.en
dc.description.provenanceMade available in DSpace on 2021-06-08T07:25:33Z (GMT). No. of bitstreams: 1
ntu-97-R95724033-1.pdf: 599756 bytes, checksum: 8af466aa5d40608f710b8b5d75f085f9 (MD5)
Previous issue date: 2008
en
dc.description.tableofcontents目錄
第一章 緒論 1
第一節、研究背景 1
第二節、研究動機與目的 2
一、研究動機 2
二、研究目的 3
三、本研究目的之圖解 4
第二章 衍生性金融商品及債券市場介紹 5
第一節、信用衍生性商品介紹 5
一、信用連結票券 5
二、信用總報酬連結票券 5
三、信用違約連結票券 6
第二節、 債券市場 7
一、債券的特性與類別 7
二、債券的分類 7
三、債券市場 11
四、債券期間 12
五、債券利率的報價單位 12
六、債券的成交評價 13
七、債券交易的型態 13
八、債券的風險 14
九、公債指標的計算: 15
第三章 文獻回顧 17
第一節、信用風險(Credit Risk)的定義 17
第二節、衡量信用風險的方法(信用風險的模型) 17
一、傳統法 17
二、公司價值模型 (Firm Value Model) 18
三、首次通過模型 ( First passage time model ) 21
四、簡化模型 (reduced form model) 22
第三節、簡化模型( Reduced Form model ) 24
一、簡化模型介紹 24
二、簡化模型使用─信用連結票券之評價 26
三、簡化模型使用─信用違約連結票券評價 28
四、簡化模型使用─信用總報酬連結票券評價 31
五、簡化模型之整理 32
第四章 研究方法 36
第一節、模型建立 36
第二節、信用評等與違約機率─離散時間下的模型 39
第三節、信用評等與違約機率─連續時間下的模型 45
第四節、資料的估計 49
第五章 實証結果分析 52
第一節、資料來源 52
第二節、數據整理 53
第三節、模擬結果與討論 58
第六章 結論 67
參考文獻 68



表目錄
表2-1. 公司債等級表 8
表3-1. 各種信用風險模型的比較 23
表3-2. 信用連結票券評價之說明與彙整 34
表3-2. 信用連結票券評價之說明與彙整(續) 35
表5-1. 90-96年平均信用評等遞移矩陣 55
表5-2. 各評等公司於未來的存活機率 56
表5-3 公債與投資等級公司債殖利率指標 58
表5-4 95年底公司債的風險貼水 59
表5-5 96年底各發行年數的公司債理論殖利率 63
表5-6 96年底公司債殖利率 64
表5-7 各發行年數的公司債殖利率利差率 65
附表1-a,90-91年度信用評等遞移矩陣 72
附表1-b,91-92年度信用評等遞移矩陣 73
附表1-c,92-93年度信用評等遞移矩陣 74
附表1-d,93-94年度信用評等遞移矩陣 75
附表1-e,94-95年度信用評等遞移矩陣 76
附表1-f,95-96年度信用評等遞移矩陣 77
附表2-a,90-91年度信用評等機率遞移矩陣 78
附表2-b,91-92年度信用評等機率遞移矩陣 79
附表2-a,92-93年度信用評等機率遞移矩陣 80
附表2-a,93-94年度信用評等機率遞移矩陣 81
附表2-a,94-95年度信用評等機率遞移矩陣 82
附表2-a,95-96年度信用評等機率遞移矩陣 83
附表3,連續時間下,信用評等機率遞移矩陣 84
圖目錄
圖2-1. 債券市場結構圖 11
圖5-1.a 信用評等1到5公司的年存活機率 57
圖5-1.b 信用評等6到9公司的年存活機 57
圖5-2. 96年底公司債指標的風險貼水 60
圖5-3 各發行年數的公司債利率利差率 66
dc.language.isozh-TW
dc.subject馬可夫過程zh_TW
dc.subject公司債殖利率指標zh_TW
dc.subject信用評等zh_TW
dc.subjectMarkov processen
dc.subjectcredit ratingen
dc.subjectRisky Bond Yield Indexen
dc.title公司債殖利率指標正確性的探討zh_TW
dc.titleA Study on the Accuracy of Risky Bond Yield Indexen
dc.typeThesis
dc.date.schoolyear96-2
dc.description.degree碩士
dc.contributor.oralexamcommittee雷麗芬,李志偉
dc.subject.keyword馬可夫過程,公司債殖利率指標,信用評等,zh_TW
dc.subject.keywordMarkov process,Risky Bond Yield Index,credit rating,en
dc.relation.page84
dc.rights.note未授權
dc.date.accepted2008-07-16
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept國際企業學研究所zh_TW
顯示於系所單位:國際企業學系

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