Quantitative Analysis
Numerical Analysis
C++ Multithreading
Python for Excel
Python Utilities
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I. Basic math.
1. Conditional probability.
2. Normal distribution.
3. Brownian motion.
4. Poisson process.
A. Definition of the Poisson process.
B. Distribution of the Poisson process.
C. Poisson stopping time.
D. Arrival of k-th Poisson jump. Gamma distribution.
E. Cox process.
5. Ito integral.
6. Ito calculus.
7. Change of measure.
8. Girsanov's theorem.
9. Forward Kolmogorov's equation.
10. Backward Kolmogorov's equation.
11. Optimal control, Bellman equation, Dynamic programming.
II. Pricing and Hedging.
III. Explicit techniques.
IV. Data Analysis.
V. Implementation tools.
VI. Basic Math II.
VII. Implementation tools II.
VIII. Bibliography
Notation. Index. Contents.

Distribution of the Poisson process.


he purpose of this section is to compute some probabilities associated with Poisson process. Suppose $t<T$ . The $\tau$ is the time of the first jump. We subdivide $\left[ t,T\right] $ into $n$ small intervals and let the size of each subinterval go to zero with $t,T$ being constants. With use of MATH as MATH and the notation MATH , MATH we obtain the following results. MATH We apply the ( Chain_rule ): MATH From point of view of MATH the events MATH are determined for $i=0,...,N-2$ , hence, MATH then by ( Poisson property 1 ), MATH We continue in similar manner and take a limit: MATH




Therefore, see the formula ( Poisson property 1a ),

MATH (Poisson property 2)

Similarly, for any integer $k\geq0$ MATH where $\tau$ denotes any jump of $N_{t}$ and MATH denotes the set of permutations of $k$ integers from $1$ to $N$ . The factorial exists because we are not interested in permutations of MATH for purposes of calculation of the probability. Indeed, the result is supposed to be less or equal to 1 yet the sums without $\frac {1}{k!}$ evaluate bigger then 1 because of the permutations. We continue MATH MATH We note $N\Delta t=T-t$ , MATH = MATH , MATH , MATH . MATH Hence,

MATH (Poisson property 3)





Notation. Index. Contents.


















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