Posted by
animesh on
URL: http://quantlib.414.s1.nabble.com/Pointer-Casting-tp8953p8961.html
Thanks a lot. Just one minor thing I noticed in
blackscholesprocess.hpp
dS(t, S) = (r(t) - q(t) - \frac{\sigma(t, S)^2}{2}) dt
+ \sigma dW_t.
The above process is not possible, coz you can't have sigma(t,S).
The above equation is derived only because sigma is constant. It's a
bit misleading, Can I make the change to the correct version
dS(t, S) = (r(t) - q(t) - \frac{\sigma^2}{2}) dt
+ \sigma dW_t
It's a one line change, In the last few lines of my blog I have
given the proof.
http://quantanalysis.wordpress.com/2010/08/21/
Just read the ending portion.
On 9/2/10 4:37 PM, Kakhkhor Abdijalilov wrote:
Forwarding...
Thanks for your inputs.
I observed a pattern in some exotic options. Correct me if I am wrong.
Similar to himalayan option, in variance swap engine also we have the
following code
MCVarianceSwapEngine(
const boost::shared_ptr<GeneralizedBlackScholesProcess>& process
Since most of the engines are specifically using
GeneralizedBlackScholesProcess it's impossible to value the option using any
other process. Practically a person would like to value the instrument using
any possible process. After struggling with Merton76Process for valuing
Himalayan option I tried to get my head around with HestonProcess. It wasn't
even remotely possible. Yes I could do the same in excel, but again excel
can't do 9Million simulations which Quantlib can do in seconds :). That's
why I am trying to replace my excel side of modeling with C++ QuantLib!
So what I want to try is "make the above dependency more generic". It should
be possible in some way. Any inputs from you guys will help a lot.
Thanks again,
Animesh Saxena
(http://quantanalysis.wordpress.com)
Ph: (+91)9920098221
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Regards,
Animesh Saxena
(http://quantanalysis.wordpress.com)
Ph: (+91)9920098221
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