Re: [Quantlib-dev] [Quantlib-users] Poisson process

[james h. <j_h...@ya...>]

Thanks Dima and Dominik,

(1) If you don't mind a comment by a newbie: I think the documentation for 
StochasticProcess and StochasticProcess1D is misleading. The Detailed 
Description does not mention the possibility of including jump processes in 
derived classes.

(2) Is there any point in implementing a PoissonProcess class?

(3) The reason for my original question was that I was looking for the Variance 
Gamma process. Is there some plan to implement this?

James


----- Original Message ----
From: Dominik Holenstein <dho...@gm...>
To: james hirschorn <j_h...@ya...>
Sent: Mon, July 19, 2010 2:22:38 AM
Subject: Re: [Quantlib-users] Poisson process

Poisson distribution is here:
Quantlib\QuantLib-1.0.1\ql\math\distributions\poissondistribution.hpp

Used here:
Quantlib\QuantLib-1.0.1\ql\pricingengines\vanilla\batesengine.hpp/batesengine.cpp

Quantlib\QuantLib-1.0.1\ql\processes\batesprocess.hpp/batesprocess.cpp
Quantlib\QuantLib-1.0.1\ql\math\randomnumbers\rngtraits.hpp

Dominik




On Mon, Jul 19, 2010 at 2:43 AM, james hirschorn <j_h...@ya...> wrote:
> Looking at the documentation, it appears that QuantLib only implements
> stochastic processes based on Brownian motion, i.e. Ito processes.
>
> Is this correct? There is no Poisson process for example?
>
> Thanks,
> J
>
>
>
>
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