Quantitative Analysis.
Trading Platform.
Author.

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I.Basic math.
1.Conditional probability.
2.Normal distribution.
3.Brownian motion.
4.Topics in stochastic analysis.
5.Poisson process.
6.Kolmogorov's equations in general setting.
A.Example: backward Kolmogorov equation for diffusion.
B.Example: backward Kolmogorov equation for Ito process with jump.
7.Hamilton-Jacobi Equations.
8.Convex Analysis.
9.Real Variable.
10.Fundamental solutions. Calculus of distributions.
II.Pricing and Hedging.
III.Explicit techniques.
IV.Data Analysis.
V.Implementation tools.
VI.Applications.
Bibliography.
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Example: backward Kolmogorov equation for Ito process with jump.


e use technique of the previous section to calculate the operator ( Backward Kolmogorov operator) for the processMATH where the Poisson process $dN_{t}$ has the intensity MATH.

Similarly to the previous section,MATH In order to calculate the above expectation we use the recipe ( Total_probability_rule). We consider the disjoint situations when the process jump and does not jump. These really are disjoint because we pass to the limit $h\rightarrow0$ and, thus, the Poisson process does not jump the second time with noticeable probability.MATH Note, that ProbMATH. The diffusion terms MATH in MATH are small compared to the jump MATH and do not survive the procedure MATH. Hence,MATH Consequently,MATH





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