Basic affine jump diffusion
In mathematics probability theory, a basic affine jump diffusion (basic AJD) is a stochastic process Z of the form
where is a standard Brownian motion, and is an independent compound Poisson process with constant jump intensity and independent exponentially distributed jumps with mean . For the process to be well defined, it is necessary that and . A basic AJD is a special case of an affine process and of a jump diffusion. On the other hand, the Cox–Ingersoll–Ross (CIR) process is a special case of a basic AJD.
Basic AJDs are attractive for modeling default times in credit risk applications,[1][2][3][4] since both the moment generating function
and the characteristic function
are known in closed form.[3]
The characteristic function allows one to calculate the density of an integrated basic AJD
by Fourier inversion, which can be done efficiently using the FFT.
References
- ^ Darrell Duffie, Nicolae Gârleanu (2001). "Risk and Valuation of Collateralized Debt Obligations". Financial Analysts Journal. 57: 41–59. doi:10.2469/faj.v57.n1.2418. S2CID 12334040. Preprint
- ^ Allan Mortensen (2006). "Semi-Analytical Valuation of Basket Credit Derivatives in Intensity-Based Models". Journal of Derivatives. 13 (4): 8–26. doi:10.3905/jod.2006.635417. Preprint
- ^ a b Andreas Ecker (2009). "Computational Techniques for basic Affine Models of Portfolio Credit Risk". Journal of Computational Finance. 13: 63–97. doi:10.21314/JCF.2009.200. Preprint
- ^ Peter Feldhütter, Mads Stenbo Nielsen (2010). "Systematic and idiosyncratic default risk in synthetic credit markets".
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