Basic affine jump diffusion

In probability theory, a basic affine jump diffusion (basic AJD) is a stochastic process Z of the form

$dZ_{t}=\kappa (\theta -Z_{t})\,dt+\sigma {\sqrt {Z_{t}}}\,dB_{t}+dJ_{t},\qquad t\geq 0,Z_{{0}}\geq 0,$

where $B$ is a standard Brownian motion, and $J$ is an independent compound Poisson process with constant jump intensity $l$ and independent exponentially distributed jumps with mean $\mu$. For the process to be well defined, it is necessary that $\kappa \theta \geq 0$ and $\mu \geq 0$. 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

$m\left(q\right)=\operatorname {E}\left(e^{{q\int _{0}^{t}Z_{s}\,ds}}\right),\qquad q\in {\mathbb {R}},$

and the characteristic function

$\varphi \left(u\right)=\operatorname {E}\left(e^{{iu\int _{0}^{t}Z_{s}\,ds}}\right),\qquad u\in {\mathbb {R}},$

are known in closed form.^[3]

The characteristic function allows one to calculate the density of an integrated basic AJD

$\int _{0}^{t}Z_{s}\,ds$

by Fourier inversion, which can be done efficiently using the FFT.

References

1. 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. Preprint
2. Allan Mortensen (2006). "Semi-Analytical Valuation of Basket Credit Derivatives in Intensity-Based Models". Journal of Derivatives. 13: 8–26. doi:10.3905/jod.2006.635417. Preprint
3. Andreas Ecker (2009). "Computational Techniques for basic Affine Models of Portfolio Credit Risk". Journal of Computational Finance. 13: 63–97. Preprint
4. Peter Feldhütter, Mads Stenbo Nielsen (2010). "Systematic and idiosyncratic default risk in synthetic credit markets". Preprint