Re: StochasticProcess1D example

Posted by Luigi Ballabio on Nov 02, 2016; 3:23pm
URL: http://quantlib.414.s1.nabble.com/StochasticProcess1D-example-tp17823p17848.html

Hello,

    writing a specific process in Python is not possible. You can write the process in C++ and add it to the Python interfaces.

As for using it in the PDE framework: I don't think that it can translate a generic process into a finite-difference operator automatically (the StochasticProcess interface was designed to use with the Monte Carlo framework instead) so you'll probably be better off writing the operator directly.  Unfortunately, there's not a lot of documentation about either the old or the new framework, except my blog posts (search for "Chapter 8" in <http://www.implementingquantlib.com/p/archive.html>).  You can start from the examples shown there and post here if you get stuck.

Hope this helps,

    Luigi

On Wed, Oct 26, 2016 at 11:51 AM slera <[hidden email]> wrote:

I need to price an American option on an underlying that follows a rather
uncommon stochastic process. To this end, I want to use the
StochasticProcess1D class, for which I can specify directly the drift and
volatility as a function of the underlying. I have been looking for examples
with StochasticProcess1D but I could not find any. Can someone provide me
with an example? An example using the Python interface and with a PDE
pricing engine would be preferred.

Thanks in advance!
Sandro


PS: I have also posted the question here:
http://quant.stackexchange.com/questions/30659/quantlib-stochasticprocess1d-example?noredirect=1#comment41719_30659



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