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8 bytes added ,  03:09, May 23, 2009
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Here <math>N(x)</math> is the cumulative normal distribution function,   
 
Here <math>N(x)</math> is the cumulative normal distribution function,   
   −
<math>d_1 = \frac{\log(S(0)/K)+(r+1/2\sigma^2)}{\sigma\sqrt{T}}</math>
+
<math>d_1 = \frac{\log(S(0)/K)+(r+\frac{1}{2}\sigma^2)}{\sigma\sqrt{T}}</math>
    
and <math>d_2 = d_1-\sigma\sqrt{T}</math>
 
and <math>d_2 = d_1-\sigma\sqrt{T}</math>
    
This is the famous Black-Scholes formula for the price of a European call. Note that all the  variables except for <math>\sigma</math> can be observed in directly in the market. The volatility, <math>\sigma</math> of the stock must be estimated using either statistical data, or inferred from the price of options being sold in the market.
 
This is the famous Black-Scholes formula for the price of a European call. Note that all the  variables except for <math>\sigma</math> can be observed in directly in the market. The volatility, <math>\sigma</math> of the stock must be estimated using either statistical data, or inferred from the price of options being sold in the market.
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