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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64662
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor王之彥(Jr-Yan Wang)
dc.contributor.authorShu-Chen Huangen
dc.contributor.author黃淑珍zh_TW
dc.date.accessioned2021-06-16T22:57:03Z-
dc.date.available2017-08-15
dc.date.copyright2012-08-15
dc.date.issued2012
dc.date.submitted2012-08-09
dc.identifier.citationBandreddi, S., S. Das, and R. Fan (2007). “Correlated Default Modeling with a Forest of Binomial Trees,” Journal of Fixed Income, Vol. 17, No. 3, pp.38–56.
Black, F. and J. C. Cox (1976). “Valuing Corporate Securities: Some Effects of Bond Indenture Provisions,“ Journal of Finance, Vol. 31, No. 2, pp. 351–367.
Bollerslev, T. (1986). “Generalized Autoregressive Conditional Heteroskedasticity,” Journal of Econometrics, Vol. 31, pp. 307-28.
Burtschell, X., J. Gregory, and J. P. Laurent (2008). “A Comparative Analysis of CDO Pricing Models,” working paper.
Christoffersen, P. and K. Jacobs (2004). “Which GARCH Models for Option Valuation?” Management Science, Vol. 50, No. 9, pp. 1204-1221.
Coulson, N. E. and R. P. Robins (1985). “Aggregate economic activity and the variance of inflation: Another look,” Economics Letters, Vol. 17, pp. 71-75.
Dai, T. S (2009). “Efficient Option Pricing on Stocks Paying Discrete or Path-Dependent Dividends with the Stair Tree,” Quantitative Finance, Vol. 9, No. 7, pp. 827–838.
Das, S. and R. Sundaram (2004). “A Simple Model for Pricing Derivative Securities with Equity, Interest-rate and Default Risk,” Working paper.
Davis, M. and V. Lo (2001). “Infectious Defaults,” Quantitative Finance, Vol. 1, pp. 382–387.
Duffie, D. and K. J. Singleton (1999). “Modeling Term Structures of Defaultable Bonds,” Review of Financial Studies, Vol. 12, No.4, pp. 687–720.
Duffie, D. and N. Garleanu (2001). “Risk and Valuation of Collateralized Debt Obligations,” Financial Analysts Journal, Vol. 57, pp. 41–59.
Durand, D. (1942). “Basic Yield of Corporate Bonds, 1900-1942,” Technical Paper, No.3.
Engle, R. F. (1982). “Autoregressive conditional heteroskedasticity with estimates of the variance of U.K. inflation,” Econometrica, Vol. 50, pp. 987-1008.
Engle, R. F. (1983). “Estimates of the variance of U.S. inflation based on the ARCH model,” Journal of Money Credit and Banking, Vol. 15, pp. 286-301.
Engle, R. F. and D. Kraft (1983). “Multiperiod forecast error variances of inflation estimated from ARCH models”, in: A. Zellner, ed., Applied time series analysis of economic data (Bureau of the Census, Washington, DC), pp. 293-302.
Engle, R. F., D. Lilien, and R. Robins (1985). “Estimation of time varying risk premiums in the term structure,” Discussion paper 85-17(University of California, San Diego, CA).
Frey, R. and A. J. McNeil (2003). “Dependent Defaults in Models of Portfolio Credit Risk,” Working paper.
Frey, R., A. J. McNeil, and M. Nyfeler (2001). “Copulas and Credit Models,” RISK, Vol. 13, pp. 111–114.
Giesecke, K. (2004). “Correlated Default with Incomplete Information,” Journal of Banking and Finance, Vol. 28, pp. 1521–1545.
Hull, J. and A. White (2001). “Valuing Credit Default Swaps II: Modeling Default Correlations,” Journal of Derivatives, Vol. 8, No. 3, pp. 12–21.
Hull, J., M. Predescu, and A. White (2005). “The Valuation of Correlation-Dependent Credit Derivatives Using a Structural Model,” Working paper.
Jarrow, R. A. and P. Protter (2004). “Structural Versus Reduced Form Models: A New Information Based Perspective,” Journal of Investment Management, Vol. 2, No. 2, pp. 1–10.
Jarrow, R. A. and S. M. Turnbull (1995). “Pricing Derivatives on Financial Securities Subject to Credit Risk,” Journal of Finance, Vol. 50, No. 1, pp. 53–85.
Li, D. X. (2000). “On Default Correlation: A Copula Function Approach,” Journal of Fixed Income, Vol. 9, No. 4, pp. 43–54.
Lin, Y. C. (2010). “Pricing CDOs with Defaultable Trinomial Trees under GARCH Processes,” Master thesis, National Taiwan University.
McCulloch, J. Huston (1971). “Measuring the Term Structure of Interest Rates,” Journal of Business, Vol. 34, pp. 19-31.
Meneguzzo, D. and W. Vecchiato (2004). “Copula Sensitivity in Collateralized Debt Obligations and Basket Default Swaps,” Journal of Futures Markets, Vol. 24, No. 1, pp. 37–70.
Merton, R. C. (1974). “On the Pricing of Corporate Debt: The Risk Structure of Interest Rates,” Journal of Finance, Vol. 29, No. 2, pp. 449-470.
Nelson, C. R. and A. F. Siegel (1987). “Parsimonious Modeling of Yield Curves,” Journal of Business, Vol. 60, No. 4, pp. 473-489.
Ritchken, P. and R. Trevor (1999). “Pricing Options under Generalized GARCH and Stochastic Volatility Processes,” Journal of Finance, Vol. 54, pp. 377–402.
Shea, G. S. (1982). “The Japanese term structure of interest rates,” Ph.D. dissertation, University of Washington.
Shea, G. S. (1984). “Pitfalls in Smoothing Interest Rate Term Structure Data: Equilibrium Models and Spline Approximations,” Journal of Financial and Quantitative Analysis, Vol. 19, pp. 253-69.
Vasicek, O. A. and H. G. Fong (1982). “Term Structure Modeling Using Exponential Splines,” Journal of Finance, Vol. 11, pp. 319-25.
Zhou, C. (2001). “An Analysis of Default Correlation and Multiple Defaults,” Review of Financial Studies, Vol. 14, pp. 555–576.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64662-
dc.description.abstract本篇論文參考Lin (2010)可破產三元樹與Peter and Kris (2004)不同GARCH 模型之比較,已可破產三元樹在不同GARCH模型下對CDOs做評價,比較配合不同GARCH模型對CDOs評價結果何者最佳。Charles and Andrew (1987) parsimonious model之期間結構對不同型態的資料皆有良好的配適情形,因此我們以Charles and Andrew (1987) parsimonious model來調整破產強度公式。
實證部分,我們以股價校正GARCH參數,再以CDS資料校正破產強度參數,最後使用模擬方式估計CDOs各分券之價差,並與實際市場資料做比較,我們發現到期期間愈長則可縮小估計均方差,Simple GARCH process之模擬結果最佳,此結果與Peter and Kris(2004)之結論相符,以較簡約之GARCH模型作衍生性商品評價,其結果最佳。
zh_TW
dc.description.abstractFollowing the work of Lin (2010) and Peter (2004), we use the Defaultable Trinomial Trees under different GARCH Processes to value the spread of CDOs and compare the performances under different GARCH processes. Motivated by the success of Charles and Andrew (1987) parsimonious model, we modify the term structure of the default density function with parsimonious model.
In empirical research, we calibrate the parameters with the stock prices and CDS spread and use Monte Carlo to estimate the spreads of iTraxx Europe Series 15. Comparing the estimators under different GARCH processes, we find that the estimators of 7-year CDOs spread are better than the estimators of 5-year CDOs spread. In addition, Simple GARCH process is better than other GARCH processes when valuing CDOs spread no matter with real correlation matrix or with constant correlation matrix. This result is correspond with Peter and Kris(2004).
en
dc.description.provenanceMade available in DSpace on 2021-06-16T22:57:03Z (GMT). No. of bitstreams: 1
ntu-101-R99724051-1.pdf: 1034068 bytes, checksum: ba3665d6176235c539242b901d663c10 (MD5)
Previous issue date: 2012
en
dc.description.tableofcontents摘要 i
Abstract ii
目錄 iii
圖目錄 v
表目錄 vi
1. Introduction 1
1-1. Introduction of CDOs 1
1-2. The reasonable pricing assumptions 2
1-3. Term Structure 3
1-4. The modifications in this thesis 4
2. The Model 6
2-1. The D-CRR model 6
2-2. The mean tracking method 9
2-3. The approximating GARCH model 11
2-4. Different GARCH Process 14
2-5. Term Structure 16
3. The Defaultable Trinomial Trees with Some Modifications 20
3-1. The main idea of the Defaultable Trinomial Trees 20
3-2. Constructing of the Defaultable Trinomial Trees in the log-space 22
3-3. Constructing the Defaultable Trinomial Trees under GARCH processes 24
4. Empirical Research 28
4-1. Data 28
4-2. Results 30
4-2-1. Parameters of GARCH Process 30
4-2-2. Parameters of Default Density 32
4-3. iTraxx 評價 38
4-3-1. Default Behavior Simulation 38
4-3-2. Calculating the spread of the each tranche of the CDO 40
5. Conclusion 50
Reference 51
Appendix 54
dc.language.isozh-TW
dc.subject破產強度zh_TW
dc.subject廣義自我迴歸條件異質變異模型zh_TW
dc.subject均值追蹤zh_TW
dc.subject擔保債卷憑證zh_TW
dc.subjectCODsen
dc.subjectD-CRRen
dc.subjectGARCHen
dc.subjectmean-trackingen
dc.title結合D-CRR、多種GARCH及均值對稱方法評價CDOszh_TW
dc.titlePricing CDOs with Defaultable Trinomial Trees under Different GARCH Processesen
dc.typeThesis
dc.date.schoolyear100-2
dc.description.degree碩士
dc.contributor.oralexamcommittee戴天時(Tian-Shyr Dai),郭家豪(Jia-hau Guo),張龍福(Lung-fu Chang)
dc.subject.keyword擔保債卷憑證,均值追蹤,廣義自我迴歸條件異質變異模型,破產強度,zh_TW
dc.subject.keywordCODs,D-CRR,GARCH,mean-tracking,en
dc.relation.page68
dc.rights.note有償授權
dc.date.accepted2012-08-10
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept國際企業學研究所zh_TW
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