L. Andersen and J. Sidinius, Extensions to the Gaussian copula: random recovery and random factor loadings, The Journal of Credit Risk, vol.1, issue.1, pp.29-70, 2005.
DOI : 10.21314/JCR.2005.003

L. Andersen, J. Sidinius, and S. Basu, All Your Hedges in One Basket, RISK, pp.67-72, 2003.

O. E. Barndorff-nielsen, Normal Inverse Gaussian Distributions and Stochastic Volatility Modelling, Scandinavian Journal of Statistics, vol.24, issue.1, pp.1-13, 1997.
DOI : 10.1111/1467-9469.t01-1-00045

B. Belkin, S. Suchover, and L. Forest, A one-parameter representation of credit risk and transition matrices, Credit Metrics Monitor, vol.1, issue.3, pp.46-56, 1998.

E. Beinstein, A. Sbityakov, P. Allen, and D. Dirk, Enhancing our framework for index tranche analysis, Credit Derivatives Research, 2005.

X. Burtschell, J. Gregory, and J. Laurent, A comparative analysis of CDO pricing models, 2005.

X. Burtschell, J. Gregory, and J. Laurent, Beyond the Gaussian copula: stochastic and local correlation, The Journal of Credit Risk, vol.3, issue.1, 2005.
DOI : 10.21314/JCR.2007.059

J. Calamaro, T. Nassar, K. Thakkar, and J. Tierney, Trading Index Tranche Products: The First Steps, 2004.

E. Derman, My Life As A Quant: Reflections on Physics and Finance, 2004.

D. Duffie and M. Huang, Swap Rates and Credit Quality, The Journal of Finance, vol.IV and V, issue.1, pp.921-949, 1996.
DOI : 10.1111/j.1540-6261.1996.tb02712.x

D. Duffie and K. Singleton, Modeling Term Structures of Defaultable Bonds, Review of Financial Studies, vol.12, issue.4, pp.687-720, 1997.
DOI : 10.1093/rfs/12.4.687

D. Duffie and K. Singleton, An Econometric Model of the Term Structure of Interest-Rate Swap Yields, The Journal of Finance, vol.5, issue.4, pp.1287-1321, 1997.
DOI : 10.1111/j.1540-6261.1997.tb01111.x

C. C. Finger, Conditional approaches for credit metrics portfolio distributions, Credit Metrics Monitor, vol.2, issue.1, pp.14-33, 1999.

L. Forsberg and T. Bollerslev, Bridging the gap between the distribution of realized (ECU) volatility and ARCH modelling (of the Euro): the GARCH-NIG model, Journal of Applied Econometrics, vol.51, issue.5, pp.535-548, 2002.
DOI : 10.1002/jae.685

R. Frey, A. Mcneil, and N. Nyfeler, Copulas and Credit Models, RISK, pp.111-114, 2001.

M. B. Jensen and A. Lunde, The NIG-S&ARCH model: a fat-tailed, stochastic, and autoregressive conditional heteroskedastic volatility model, The Econometrics Journal, vol.4, issue.2, p.10, 2001.
DOI : 10.1111/1368-423X.00070

S. Galiani, Understanding the Risk of Synthetic CDOs, 2004.

M. S. Gibson, M. Shchetkovskiy, and A. Kakodkar, Basket Default Swap Valuation, 2004.

D. Guégan and J. Houdain, Collateralized Debt Obligations Pricing and Factor Models: A New Methodology Using Normal Inverse Gaussian Distributions, 2005.

J. Hull and A. White, Valution of a CDO and an n th -to-default CDS without Monte Carlo simulation, 2004.

J. Hull and A. White, The Perfect Copula, 2005.

P. Jackel, Splitting the core, 2005.

R. A. Jarrow and S. M. Turnbull, Pricing Derivatives on Financial Securities Subject to Credit Risk, The Journal of Finance, vol.27, issue.1, pp.53-85, 1995.
DOI : 10.1111/j.1540-6261.1995.tb05167.x

R. Jarrow, D. Lando, and S. Turnbull, A Markov Model for the Term Structure of Credit Risk Spreads, Review of Financial Studies, vol.10, issue.2, pp.481-523, 1997.
DOI : 10.1093/rfs/10.2.481

A. Kalemanova, B. Schmid, and R. Werner, The Normal Inverse Gaussian Distribution for Synthetic CDO Pricing, The Journal of Derivatives, vol.14, issue.3, 2005.
DOI : 10.3905/jod.2007.681815

J. Laurent and J. Gregory, Basket Default Swaps, CDO's and Factor Copulas, Working Paper ISFA Actuarial School, 2003.
DOI : 10.21314/jor.2005.115

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.3049

J. Lillestol, Fat and skew? Can NIG cure? On the prospects of using the Normal inverse Gaussian distribution in finance, 1998.

J. Lillestol, Risk analysis and the NIG distribution, The Journal of Risk, vol.2, issue.4, pp.41-56, 2000.
DOI : 10.21314/JOR.2000.031

J. Lillestol, Bayesian Estimation of NIG-parameters by Markov chain Monte Carlo Methods, 2001.

J. Lillestol, Some crude approximation, calibration and estimation procedures for NIGvariates, 2002.

O. Kane, D. , and M. Livesey, Base Correlation Explained, Fixed Income Quantitative Credit Research, 2004.

K. Prause, Modelling financial data using generalized hyperbolic distributions " , FDM Preprint 48, 1997.

W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, Fast Fourier Transform " , Numerical Recipes in FORTRAN: The Art of Scientific Computing, pp.490-529, 1992.

T. Rydberg, The normal inverse gaussian l??vy process: simulation and approximation, Communications in Statistics. Stochastic Models, vol.21, issue.4, pp.887-910, 1997.
DOI : 10.1007/s007800050024

P. J. Schonbucher, Factor models for portfolio credit risk, 2000.

P. J. Schonbucher and D. Schubert, Copula-dependent default risk in inten-sity models, 2001.

O. Vasicek, The loan loss distribution, 1987.

J. H. Venter and P. J. De-jongh, The effects on risk and volatility estimation when using different innovation distributions in GARCH models, Research Report FABWI-N, pp.2002-98, 2002.

J. H. Venter and P. J. De-jongh, Risk estimation using the normal inverse Gaussian distribution, The Journal of Risk, vol.4, issue.2, pp.1-23, 2002.
DOI : 10.21314/JOR.2002.059

M. B. Walker, An Incomplete-Market Model for Collateralized Debt Obligations, 2005.

M. B. Walker, CDO Models Towards the Next Generation: Incomplete Markets and Term Structure, 2005.