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題名 斷續性跨期違約傳染模型之建構及其應用
A Discrete-Time Inter-Temporal Default Contagion Model and Its Applications
作者 林國瑞
貢獻者 江彌修
林國瑞
關鍵詞 違約傳染
日期 2010
上傳時間 29-Sep-2011 16:50:38 (UTC+8)
摘要 本文以Cousin, Dorobantu and Rullière (2010)的模型為基礎，將由總體因素造成的直接違約相關性和傳染現象同時納入資產違約相關性的來源，進而求算債權群組損失分配和債權群組各期預期損失，並用於評價擔保債權信用憑證和分析其風險特徵。
     本文並對合成型的擔保信用憑證作評價以及敏感度分析，發現當單一資產直接違約機率的期望值增加時，會使得各分劵的信用價差上升。當傳染機率 上升時，也會使各分券的信用價差上升。但當直接違約機率的變異數 增加時，對各分券的影響則不一致，因為 上升代表直接違約相關性 上升，故使債權群組損失分配產生厚尾性，資產共同存活和共同違約的機率增加。因為權益分券原先即預期遭受不小的損失，分券價差主要受資產同時存活機率的影響，故 上升時，同時存活機率的上升使權益分券信用價差下降，而先償分券原先預期幾乎不會遭受損失，分券價差主要受資產同時違約機率的影響，故 上升時，同時違約機率的上升使先償分券信用價差下降。故我們可看出直接違約相關性 和傳染發生機率對於各分券信用價差的影響並不相同，故金融海嘯時期市場標準模型-高斯因子結構模型的失效可能原因之一為沒有考慮傳染效應。
     本文最後以模型的參數對市場報價做校準，可發現信用危機後，模型的校準效果較好，故此違約傳染模型可用來描述信用危機後的信用風險市場。也發現信用危機後，資產直接違約的機率的期望值及變異數皆上升，故此違約傳染模型的參數能捕捉到此現象。
參考文獻 1. Andersen, L., J. Sidenius, and S., Basu, 2003, “All Your Hedges in One Basket,” Risk, 16, 67-72
2. Areski, C. , D. Rullière, and D., Dorobantu, 2010, “An Extension of Davis and Lo’s Contagion Model,” (working paper, University of Leon).
3. Azizpour, S., Giesecke, K., 2008, “Self-exciting corporate defaults: contagion vs. frailty,” (working paper, Stanford University).
4. Black, F. and J. C. Cox, 1976, “Valuing corporate securities：effects of bond indenture provisions,” Journal of Finance 31, 351-367.
5. Das, S.R., Duffie, D., Kapadia, N., Saita, L., 2007, “Common failings: how corporate defaults are correlated,” Journal of Finance 62(1), 93-117
6. Duffie, D. and K. Singleton, 1999, “Modeling term structures of defaultable bonds,” Review of Financial Studies 12, 687-720
7. Barro, D. and A. Basso, 2010, “Credit contagion in a network of firms with spatial interaction,” European Journal of Operation Research, 205, 459-468
8. Egloff, D., Leippold, M. and Vanini, P., 2007 ,”A simple model of credit contagion,” Journal of Banking & Finance, Elsevier, vol. 31(8), 2475-2492
9. Graziano, G. and Rogers, C., 2006, “Pricing k-th to default swaps under default contagion, the matrix-analytic approach,” Journal of Computational Finance ,12(1), 49-78.
10. Hull, J. and A. White, 2004, “Valuation of a CDO and nth to Default CDS without Monte Carlo Simulation,” Journal of Derivatives, 12 8-23
11. Hull, J. and A. White, 2008, “Dynamic Models of Portfolio Credit Risk: a Simplified Approach,” Journal of Derivatives, 15,9-28
12. Laurent, J.P. and J. Gregory, 2003, “Basket default swaps, CDO’s and factor copulas,” ( working paper, ISFA Actuarial School, University of Lyon)
13. Li, D.X., 2000, “On Default Correlation: A Copula Approach,” Journal of Fixed Income, 9 43-54
14. Serafin, M.J., O.P. Perez, F.A. Embriz and F. Dey, 2010, “Systemic Risk, Financial Contagion and Financial Fragility,” Journal of Economic Dynamics & Control, 34, 2358-2374
15. Merton, R., 1974, “On the Pricing of Corporate Debt：The Risk Structure of Interest Rates,” Journal of Finance, 29 449-470.
16. Jarrow, R., and Yu, F., 2001, “Counterparty risk and the pricing of defaultable securities,” Journal of Finance, 56, 1765-1799
17. Jarrow, R. and S. Turnbull, 1995, “Pricing Derivatives on Financial Securities Subject to Credit Risk”, Journal of Finance, 50, 53-85.
18. Jarrow, R., D. Lando, and S. Turnbull, 1997, “A Markov Model for the Term Structure of Credit Spread,” Reviw of Financial Studies 10,481-523.
19. Jorion, P and Zhang, G., 2009, “Credit contagion from counterparty risk.” Journal of Finance, 64, 2053-2087
20. Kraft, H., Steffensen, M., 2007, “Bankruptcy counterparty risk, and contagion,” Review of Finance, 11, 209-252.
21. R sch, D., Winterfeldt, B., 2008, “Estimating credit contagion in a standard factor model,” Risk, August 2008, S. 78-82
22. Sakata, A., Hisakado, M., Mori, S., 2007, “Infectious Default Model with Recovery and Continuous Limits,” Journal of the Physical Society of Japan, Vol. 76, No. 5.
23. Sch nbucher, P., Schubert, D., 2001, “Copula Dependent Default Risk in Intensity Models,” (working paper, Bonn University)
24. Sch nbucher, P.J., 2006, “Portfolio Losses and The Term-Structure of Loss Transition Rates: a New Methodology for The Pricing of Portfolio Credit Derivatives,” (working paper, ETH Z rich.)
25. Van der Voort, M., 2006, “An Implied Loss Model,” (working paper, Bonn University)
26. Yu, F., (2007),”Correlated Defaults in Intensity-Based Models.” Mathematical Finance 17(2), 155-173
描述 碩士
國立政治大學
金融研究所
98352021
99
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0098352021
資料類型 thesis
dc.contributor.advisor 江彌修zh_TW
dc.contributor.author (Authors) 林國瑞zh_TW
dc.creator (作者) 林國瑞zh_TW
dc.date (日期) 2010en_US
dc.date.accessioned 29-Sep-2011 16:50:38 (UTC+8)-
dc.date.available 29-Sep-2011 16:50:38 (UTC+8)-
dc.date.issued (上傳時間) 29-Sep-2011 16:50:38 (UTC+8)-
dc.identifier (Other Identifiers) G0098352021en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/50850-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 金融研究所zh_TW
dc.description (描述) 98352021zh_TW
dc.description (描述) 99zh_TW
dc.description.abstract (摘要) 本文以Cousin, Dorobantu and Rullière (2010)的模型為基礎，將由總體因素造成的直接違約相關性和傳染現象同時納入資產違約相關性的來源，進而求算債權群組損失分配和債權群組各期預期損失，並用於評價擔保債權信用憑證和分析其風險特徵。
     本文並對合成型的擔保信用憑證作評價以及敏感度分析，發現當單一資產直接違約機率的期望值增加時，會使得各分劵的信用價差上升。當傳染機率 上升時，也會使各分券的信用價差上升。但當直接違約機率的變異數 增加時，對各分券的影響則不一致，因為 上升代表直接違約相關性 上升，故使債權群組損失分配產生厚尾性，資產共同存活和共同違約的機率增加。因為權益分券原先即預期遭受不小的損失，分券價差主要受資產同時存活機率的影響，故 上升時，同時存活機率的上升使權益分券信用價差下降，而先償分券原先預期幾乎不會遭受損失，分券價差主要受資產同時違約機率的影響，故 上升時，同時違約機率的上升使先償分券信用價差下降。故我們可看出直接違約相關性 和傳染發生機率對於各分券信用價差的影響並不相同，故金融海嘯時期市場標準模型-高斯因子結構模型的失效可能原因之一為沒有考慮傳染效應。
     本文最後以模型的參數對市場報價做校準，可發現信用危機後，模型的校準效果較好，故此違約傳染模型可用來描述信用危機後的信用風險市場。也發現信用危機後，資產直接違約的機率的期望值及變異數皆上升，故此違約傳染模型的參數能捕捉到此現象。		zh_TW
dc.description.tableofcontents 第一章 導論 1
     第二章　文獻回顧 3
      第一節 信用風險模型與違約傳染模型 3
      第二節 DAVIS AND LO的傳染模型 8
     第三章　模型設定 11
      第一節 模型基本設定 13
      第二節 單期模型 14
      第三節 跨期模型 17
      第四節 模型結合BETA分配 19
      第五節 模型演算法 21
      第六節 合成型擔保債權憑證評價方法 23
      第七節 合成型擔保債權憑證風險特徵 26
     第四章 數值分析 27
      第一節 違約狀態及傳染型式對違約次數的影響 27
      第二節 模型參數對違約次數的影響 31
      第三節　 模型評價合成型擔保擔保債權憑證 38
      第四節　 在傳染模型下合成型擔保債權憑證的風險特徵 49
      第五節　 校準 54
     第五章　結論 57
     附錄 59
     參考文獻 63		zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0098352021en_US
dc.subject (關鍵詞) 違約傳染zh_TW
dc.title (題名) 斷續性跨期違約傳染模型之建構及其應用zh_TW
dc.title (題名) A Discrete-Time Inter-Temporal Default Contagion Model and Its Applicationsen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 1. Andersen, L., J. Sidenius, and S., Basu, 2003, “All Your Hedges in One Basket,” Risk, 16, 67-72zh_TW
dc.relation.reference (參考文獻) 2. Areski, C. , D. Rullière, and D., Dorobantu, 2010, “An Extension of Davis and Lo’s Contagion Model,” (working paper, University of Leon).zh_TW
dc.relation.reference (參考文獻) 3. Azizpour, S., Giesecke, K., 2008, “Self-exciting corporate defaults: contagion vs. frailty,” (working paper, Stanford University).zh_TW
dc.relation.reference (參考文獻) 4. Black, F. and J. C. Cox, 1976, “Valuing corporate securities：effects of bond indenture provisions,” Journal of Finance 31, 351-367.zh_TW
dc.relation.reference (參考文獻) 5. Das, S.R., Duffie, D., Kapadia, N., Saita, L., 2007, “Common failings: how corporate defaults are correlated,” Journal of Finance 62(1), 93-117zh_TW
dc.relation.reference (參考文獻) 6. Duffie, D. and K. Singleton, 1999, “Modeling term structures of defaultable bonds,” Review of Financial Studies 12, 687-720zh_TW
dc.relation.reference (參考文獻) 7. Barro, D. and A. Basso, 2010, “Credit contagion in a network of firms with spatial interaction,” European Journal of Operation Research, 205, 459-468zh_TW
dc.relation.reference (參考文獻) 8. Egloff, D., Leippold, M. and Vanini, P., 2007 ,”A simple model of credit contagion,” Journal of Banking & Finance, Elsevier, vol. 31(8), 2475-2492zh_TW
dc.relation.reference (參考文獻) 9. Graziano, G. and Rogers, C., 2006, “Pricing k-th to default swaps under default contagion, the matrix-analytic approach,” Journal of Computational Finance ,12(1), 49-78.zh_TW
dc.relation.reference (參考文獻) 10. Hull, J. and A. White, 2004, “Valuation of a CDO and nth to Default CDS without Monte Carlo Simulation,” Journal of Derivatives, 12 8-23zh_TW
dc.relation.reference (參考文獻) 11. Hull, J. and A. White, 2008, “Dynamic Models of Portfolio Credit Risk: a Simplified Approach,” Journal of Derivatives, 15,9-28zh_TW
dc.relation.reference (參考文獻) 12. Laurent, J.P. and J. Gregory, 2003, “Basket default swaps, CDO’s and factor copulas,” ( working paper, ISFA Actuarial School, University of Lyon)zh_TW
dc.relation.reference (參考文獻) 13. Li, D.X., 2000, “On Default Correlation: A Copula Approach,” Journal of Fixed Income, 9 43-54zh_TW
dc.relation.reference (參考文獻) 14. Serafin, M.J., O.P. Perez, F.A. Embriz and F. Dey, 2010, “Systemic Risk, Financial Contagion and Financial Fragility,” Journal of Economic Dynamics & Control, 34, 2358-2374zh_TW
dc.relation.reference (參考文獻) 15. Merton, R., 1974, “On the Pricing of Corporate Debt：The Risk Structure of Interest Rates,” Journal of Finance, 29 449-470.zh_TW
dc.relation.reference (參考文獻) 16. Jarrow, R., and Yu, F., 2001, “Counterparty risk and the pricing of defaultable securities,” Journal of Finance, 56, 1765-1799zh_TW
dc.relation.reference (參考文獻) 17. Jarrow, R. and S. Turnbull, 1995, “Pricing Derivatives on Financial Securities Subject to Credit Risk”, Journal of Finance, 50, 53-85.zh_TW
dc.relation.reference (參考文獻) 18. Jarrow, R., D. Lando, and S. Turnbull, 1997, “A Markov Model for the Term Structure of Credit Spread,” Reviw of Financial Studies 10,481-523.zh_TW
dc.relation.reference (參考文獻) 19. Jorion, P and Zhang, G., 2009, “Credit contagion from counterparty risk.” Journal of Finance, 64, 2053-2087zh_TW
dc.relation.reference (參考文獻) 20. Kraft, H., Steffensen, M., 2007, “Bankruptcy counterparty risk, and contagion,” Review of Finance, 11, 209-252.zh_TW
dc.relation.reference (參考文獻) 21. R sch, D., Winterfeldt, B., 2008, “Estimating credit contagion in a standard factor model,” Risk, August 2008, S. 78-82zh_TW
dc.relation.reference (參考文獻) 22. Sakata, A., Hisakado, M., Mori, S., 2007, “Infectious Default Model with Recovery and Continuous Limits,” Journal of the Physical Society of Japan, Vol. 76, No. 5.zh_TW
dc.relation.reference (參考文獻) 23. Sch nbucher, P., Schubert, D., 2001, “Copula Dependent Default Risk in Intensity Models,” (working paper, Bonn University)zh_TW
dc.relation.reference (參考文獻) 24. Sch nbucher, P.J., 2006, “Portfolio Losses and The Term-Structure of Loss Transition Rates: a New Methodology for The Pricing of Portfolio Credit Derivatives,” (working paper, ETH Z rich.)zh_TW
dc.relation.reference (參考文獻) 25. Van der Voort, M., 2006, “An Implied Loss Model,” (working paper, Bonn University)zh_TW
dc.relation.reference (參考文獻) 26. Yu, F., (2007),”Correlated Defaults in Intensity-Based Models.” Mathematical Finance 17(2), 155-173zh_TW