Basic affine jump diffusion

"AJD" redirects here. For other uses, see AJD (disambiguation).

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

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

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

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

and the characteristic function

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

are known in closed form. ^[3]

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

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

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. S2CID   12334040. Preprint
2. 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
3. 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
4. Feldhutter, P.; Nielsen, M. S. (January 2012). "Systematic and idiosyncratic default risk in synthetic credit markets" (PDF). Journal of Financial Econometrics. 10 (2): 292–324. doi:10.1093/jjfinec/nbr011.