question on Black-Scholes stochastic process.

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question on Black-Scholes stochastic process.

Sun, Xiuxin
question on Black-Scholes stochastic process.

HI all,

In blackscholesprocess.hpp there are comment lines about what the BlackScholesProcess stands for :

dS(t, S) = (r(t) - \frac{\sigma(t, S)^2}{2}) dt + \sigma dW_t.

For this since it is a differential format, shouldn't BS process be dS(t, S)/S(t, S) = ... ?

Also is the drift part from the brownie motion , \frac{\sigma(t, S)^2}{2}) , still presented in the differential format?

please help to make me clear.

Regards,
sun




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Re: question on Black-Scholes stochastic process.

Yee Man Chan

Yeah, it should be dlog(S(t, S)) = (r(t) - \frac{\sigma(t, S)^2}{2}) dt + \sigma dW_t

Yee Man

--- On Tue, 9/9/08, Sun, Xiuxin <[hidden email]> wrote:

> From: Sun, Xiuxin <[hidden email]>
> Subject: [Quantlib-dev] question on Black-Scholes stochastic process.
> To: [hidden email]
> Date: Tuesday, September 9, 2008, 1:43 AM
> HI all,
>
> In blackscholesprocess.hpp there are comment lines about
> what the
> BlackScholesProcess stands for :
>
> dS(t, S) = (r(t) - \frac{\sigma(t, S)^2}{2}) dt +
> \sigma dW_t.
>
> For this since it is a differential format, shouldn't
> BS process be
> dS(t, S)/S(t, S) = ... ?
>
> Also is the drift part from the brownie motion ,
> \frac{\sigma(t,
> S)^2}{2}) , still presented in the differential format?
>
> please help to make me clear.
>
> Regards,
> sun
>
>
>
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> Developer's challenge
> Build the coolest Linux based applications with Moblin SDK
> & win great prizes
> Grand prize is a trip for two to an Open Source event
> anywhere in the world
> http://moblin-contest.org/redirect.php?banner_id=100&url=/_______________________________________________
> QuantLib-dev mailing list
> [hidden email]
> https://lists.sourceforge.net/lists/listinfo/quantlib-dev


     

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