Basic Affine Jump Diffusion
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mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
probability theory Probability theory is the branch of mathematics concerned with probability. Although there are several different probability interpretations, probability theory treats the concept in a rigorous mathematical manner by expressing it through a set o ...
, a basic affine jump diffusion (basic AJD) is a
stochastic process In probability theory and related fields, a stochastic () or random process is a mathematical object usually defined as a family of random variables. Stochastic processes are widely used as mathematical models of systems and phenomena that appea ...
Z of the form : dZ_t=\kappa (\theta -Z_t)\,dt+\sigma \sqrt\,dB_t+dJ_t,\qquad t\geq 0, Z_\geq 0, where B is a standard
Brownian motion Brownian motion, or pedesis (from grc, πήδησις "leaping"), is the random motion of particles suspended in a medium (a liquid or a gas). This pattern of motion typically consists of random fluctuations in a particle's position insi ...
, and J is an independent
compound Poisson process A compound Poisson process is a continuous-time (random) stochastic process with jumps. The jumps arrive randomly according to a Poisson process and the size of the jumps is also random, with a specified probability distribution. A compound Poisso ...
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 Jump diffusion is a stochastic process that involves jumps and diffusion. It has important applications in magnetic reconnection, coronal mass ejections, condensed matter physics, option pricing, and pattern theory and computational vision. In p ...
. 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 A credit risk is risk of default on a debt that may arise from a borrower failing to make required payments. In the first resort, the risk is that of the lender and includes lost principal and interest, disruption to cash flows, and increased ...
applications, since both the
moment generating function In probability theory and statistics, the moment-generating function of a real-valued random variable is an alternative specification of its probability distribution. Thus, it provides the basis of an alternative route to analytical results compare ...
: m\left( q\right) =\operatorname \left( e^\right) ,\qquad q\in \mathbb, and the
characteristic function In mathematics, the term "characteristic function" can refer to any of several distinct concepts: * The indicator function of a subset, that is the function ::\mathbf_A\colon X \to \, :which for a given subset ''A'' of ''X'', has value 1 at points ...
: \varphi \left( u\right) =\operatorname \left( e^\right) ,\qquad u\in \mathbb, are known in closed form. The characteristic function allows one to calculate the density of an integrated basic AJD : \int_0^t Z_s \, ds by
Fourier inversion In mathematics, the Fourier inversion theorem says that for many types of functions it is possible to recover a function from its Fourier transform. Intuitively it may be viewed as the statement that if we know all frequency and phase information ab ...
, which can be done efficiently using the
FFT A fast Fourier transform (FFT) is an algorithm that computes the discrete Fourier transform (DFT) of a sequence, or its inverse (IDFT). Fourier analysis converts a signal from its original domain (often time or space) to a representation in the ...
.


References

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/ref> {{cite journal , author = Allan Mortensen , year = 2006 , title = Semi-Analytical Valuation of Basket Credit Derivatives in Intensity-Based Models , journal = Journal of Derivatives , volume = 13 , issue = 4 , pages = 8–26 , doi=10.3905/jod.2006.635417}
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/ref> {{cite journal , author = Andreas Ecker , year = 2009 , title = Computational Techniques for basic Affine Models of Portfolio Credit Risk , journal = Journal of Computational Finance , volume = 13 , pages = 63–97 , doi=10.21314/JCF.2009.200}
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/ref> {{cite journal , author = Peter Feldhütter, Mads Stenbo Nielsen , year = 2010 , title = Systematic and idiosyncratic default risk in synthetic credit markets}
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/ref> Stochastic processes