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From: Christofer B. <bog...@gm...> - 2020-09-06 21:30:34
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Hi, Thanks for your reply. Do you have any Python-code example to share with me? Appreciate your help. Thanks, On Mon, Sep 7, 2020 at 1:57 AM Amine Ifri <ami...@gm...> wrote: > > Hi Christofer, > > The process interface in QL has a Virtual method called evolve() with arguments to “evolve” your simulated variable through time from t to t+dt and is implemented for a variety of models per asset class. I use the discretisation of a time grid and just evolve the process from time point to the next until the last grid point. > > Hope this helps, > > Amine Ifri > > > On 6 Sep 2020, at 21:13, Christofer Bogaso <bog...@gm...> wrote: > > > > Hi, > > > > I am wondering if there is any way to get the simulated path generated > > from some stochastic process like GBM with constant volatility and > > Heston. > > > > I am using Python implementation of Quantlib. > > > > Any pointer will be highly appreciated. > > > > Thanks, > > > > > > _______________________________________________ > > QuantLib-users mailing list > > Qua...@li... > > https://lists.sourceforge.net/lists/listinfo/quantlib-users |