On Wed, 30 Sep 2015 10:14 Laura Creighton wrote:
In a message of Wed, 30 Sep 2015 09:12:20 +0300, Michel Guirguis writes:
>Good afternoon,
>
>How to calculate the cumulative normal distribution function CND in order
to use this figure to calculate the call option based on the Black and
Scholes mo
On Wed, Sep 30, 2015 at 09:12:20AM +0300, Michel Guirguis wrote:
> Good afternoon,
>
> How to calculate the cumulative normal distribution function CND in
> order to use this figure to calculate the call option based on the
> Black and Scholes model.
>
> >>> from math import*
> >>> def CND(X):
On Wed, Sep 30, 2015 at 09:12:20AM +0300, Michel Guirguis wrote:
> Good afternoon,
>
> How to calculate the cumulative normal distribution function CND in
> order to use this figure to calculate the call option based on the
> Black and Scholes model.
>
> >>> from math import*
> >>> def CND(X):
On Wed, Sep 30, 2015 at 11:13:04AM +0200, Laura Creighton wrote:
> In a message of Wed, 30 Sep 2015 09:12:20 +0300, Michel Guirguis writes:
> >Good afternoon,
> >
> >How to calculate the cumulative normal distribution function CND in
> >order to use this figure to calculate the call option based o
In a message of Wed, 30 Sep 2015 09:12:20 +0300, Michel Guirguis writes:
>Good afternoon,
>
>How to calculate the cumulative normal distribution function CND in order to
>use this figure to calculate the call option based on the Black and Scholes
>model.
The easy way is to install scipy.
Then y
Good afternoon,
How to calculate the cumulative normal distribution function CND in order to
use this figure to calculate the call option based on the Black and Scholes
model.
>>> from math import*
>>> def CND(X):
m = abs(X)
[a1,a2,a3,a4,a5]=(0.31938153,-0.356563782,1.781477937
