| Reference: | 1. Altman, E.I., B. Brady, A. Resti and A. Sironi, 2005, “The link between default and recovery rate: theory, empirical evidence and implications,” Journal of Business 78, 2203-2228.
2. Andersen, L., and J. Sidenius, 2005, “Extensions to the Gaussian Copula: Random Recovery and Random Factor Loadings.” Journal of Credit Risk.
3. Andersen, L., J. Sidenius, and S. Basu, 2003,”All Your Hedges in One Basket." Risk, 11.
4. Arnaud De Servigny, Norbert Jobst,2008, “The Handbook of Structured Finance”, McGraw-Hill
5. Burtschell, X., J. Gregory, and L.-P. Laurent, 2005, “A Comparative Analysis of CDO PricingModels.” , working paper.
6. Craig Mlunfield, 2009 , ” Synthetic CDOs Modeling, Valuation and Risk Management”, Cambridge University Press
7. David Li, Ratul Roy, Jure Skarabot, 2004 , ” A Primer on Single Tranche CDOs”, Citi Bank Global Structured Credit Research.
8. Hull, John and White, Alan (2004), “Valuation of a CDO and nth to default CDS without Monte Carlo simulation”, Journal of Derivatives, 12, 8–23.
9. Joshi, Mark S. and Stacey, AlanM, 2006, Intensity Gamma: A New Approach To Pricing Portfolio Credit Derivatives. May 16,
10. Kalemanova, A., and R. Werner., 2006 ,”A Short Note on the Efficient Implementation of the Normal Inverse Gaussian Distribution." working paper.
11. Kalemanova, Anna, Schmid, Bernd and Werner, Ralf, 2007, “The Normal inverse Gaussian distribution for synthetic CDO pricing”. Journal of Derivatives, Spring,
12. Li, David (2000), “On default correlations: a copula approach”, Journal of Fixed Income, 9, 43–54
13. Thomas Moosbrucker, 2006, “Pricing CDOs with Correlated Variance Gamma Distributions.” working paper.
14. Vasicek, Oldrich,1987, “Probability of Loss on Loan Portfolio. Memo, KMV Corporation”, available at www.moodyskmv.com, 1987.
15. 林恩平, 江彌修,2009, “條件獨立假設下合成行擔保債權憑證之評價與避險”,財務金融學刊 |
