Basic affine jump diffusion
{{short description|Stochastic process}}
{{Technical|date=January 2022}}
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In mathematics probability theory, a basic affine jump diffusion (basic AJD) is a stochastic process Z of the form
:
Z_{0}\geq 0,
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, since both the moment generating function
:
,\qquad q\in \mathbb{R},
and the characteristic function
:
are known in closed form.
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
{{Reflist|refs=
| last1 = Feldhutter | first1 = P.
| last2 = Nielsen | first2 = M. S.
| date = January 2012
| doi = 10.1093/jjfinec/nbr011
| issue = 2
| journal = Journal of Financial Econometrics
| pages = 292–324
| title = Systematic and idiosyncratic default risk in synthetic credit markets
| url = http://www.feldhutter.com/CDOpaper070710.pdf
| volume = 10}}
}}