Posted by
James Hirschorn on
Jul 19, 2010; 3:39pm
URL: http://quantlib.414.s1.nabble.com/Poisson-process-tp418p419.html
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 <
[hidden email]>
To: james hirschorn <
[hidden email]>
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 <
[hidden email]> 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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