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(Binomial convergence to Black-Scholes option pricing formula)
 
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== Black-Scholes option pricing model - Convergence of binomial ==
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== [[SOCR_EduMaterials_ApplicationsActivities | SOCR Applications Activities]] - Black-Scholes Option Pricing Model (with Convergence of Binomial) ==
  
* '''Description''':  You can access the Black-Scholes applet at http://www.socr.ucla.edu/htmls/app/ .
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===Description===
 +
You can access the Black-Scholes Option Pricing Model applet at [http://www.socr.ucla.edu/htmls/app/ the SOCR Applications Site], select ''Financial Applications'' --> ''BlackScholesOptionPricing''.
  
* Black-Scholes option pricing formula: <br>
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===Black-Scholes option pricing formula===
The value <math>C<math> of a European call option at time <math>t=0</math> is:
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The value <math>C</math> of a European call option at time <math>t=0</math> is:
<math>
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: <math> C=S_0 \Phi (d_1) - \frac{E}{e^{rt}} \Phi(d_2) </math>
C=S_0 \Phi (d_1) - \frac{E}{e^{rt}} \Phi(d_2)
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: <math> d_1=\frac{ln(\frac{S_0}{E})+(r+\frac{1}{2} \sigma^2)t} {\sigma \sqrt{t}}
 
</math>
 
</math>
<br>
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: <math> d_2=\frac{ln(\frac{S_0}{E})+(r-\frac{1}{2} \sigma^2)t} {\sigma \sqrt{t}}=d_1-\sigma \sqrt{t} </math>
<math>
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d_1=\frac{ln(\frac{S_0}{E})+(r+\frac{1}{2} \sigma^2)t}
 
{\sigma \sqrt{t}}
 
</math>
 
<br>
 
<math>
 
d_2=\frac{ln(\frac{S_0}{E})+(r-\frac{1}{2} \sigma^2)t}
 
{\sigma \sqrt{t}}=d_1-\sigma \sqrt{t}
 
</math>
 
<br> 
 
 
Where, <br>
 
Where, <br>
<math>S_0</math>    Price of the stock at time <math>t=0</math> <br>
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: <math>S_0</math>    Price of the stock at time <math>t=0</math> <br>
<math>E</math>      Exercise price at expiration <br>
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: <math>E</math>      Exercise price at expiration <br>
<math>r</math>      Continuously compounded risk-free interest <br>
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: <math>r</math>      Continuously compounded risk-free interest <br>
<math>\sigma</math> Annual standard deviation of the returns of the stock <br>
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: <math>\sigma</math> Annual standard deviation of the returns of the stock <br>
<math>t</math>      Time to expiration in years <br>
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: <math>t</math>      Time to expiration in years <br>
<math>\Phi(d_i)</math>  Cumulative probability at <math>d_i</math> of the standard normal distribution <math>N(0,1)</math>  <br>
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: <math>\Phi(d_i)</math>  Cumulative probability at <math>d_i</math> of the standard normal distribution <math>N(0,1)</math>  <br>
  
* Binomial convergence to Black-Scholes option pricing formula: <br>
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===Binomial convergence to Black-Scholes option pricing formula===
The binomial formula converges to the Black-Scholes formula when
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The binomial formula converges to the Black-Scholes formula when the number of periods <math>n</math> is large.  In the example below we value the call option using the binomial formula for different values of <math>n</math> and also using the Black-Scholes formula.  We then plot the value of the call (from binomial) against the number of periods <math>n</math>.  The value of the call using Black-Scholes remains the same regardless of <math>n</math>.  The data used for this example are:
the number of periods <math>n</math> is large.  In the example below we value the call option using the binomial formula for different values of <math>n</math> and also using the Black-Scholes formula.  We then plot the value of the call (from binomial) against the number of periods <math>n</math>.  The value of the
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: <math>S_0=\$30</math>, <math>E=\$29 </math>, <math>R_f=0.05</math>, <math>\sigma=0.30 </math>,  
call using Black-Scholes remains the same regardless of <math>n</math>.  The data used for this example are:
 
<math>S_0=\$30</math>, <math>E=\$29 </math>, <math>R_f=0.05</math>, <math>\sigma=0.30 </math>,  
 
 
<math>\mbox{Days to expiration}=40</math>. <br>
 
<math>\mbox{Days to expiration}=40</math>. <br>
 +
 
* For the binomial option pricing calculations we divided the 40 days into intervals from 1 to 100 (by 1).
 
* For the binomial option pricing calculations we divided the 40 days into intervals from 1 to 100 (by 1).
  
* The snapshot below from the SOCR Black Scholes Option Pricing model applet shows the path of the stock.
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* The snapshot below from the [http://www.socr.ucla.edu/htmls/app/ SOCR Black Scholes Option Pricing model applet] shows the convergence of the call price calculated by the binomial option pricing model to the price of the call calculated using the Black-Scholes model.
  
 
<br>
 
<br>
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<center>[[Image: Christou_black_scholes_binomial.jpg|600px]]</center>
 
<center>[[Image: Christou_black_scholes_binomial.jpg|600px]]</center>
  
<br>
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===References===
* The materials above was partially taken from <br>
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The materials above was partially taken from:
''Modern Portfolio Theory'' by Edwin J. Elton, Martin J. Gruber, Stephen J. Brown, and William N. Goetzmann, Sixth Edition, Wiley, 2003, and <br>
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* ''Modern Portfolio Theory'' by Edwin J. Elton, Martin J. Gruber, Stephen J. Brown, and William N. Goetzmann, Sixth Edition, Wiley, 2003.
''Options, Futues, and Other Derivatives'' by John C. Hull, Sixth Edition, Pearson Prentice Hall, 2006.
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* ''Options, Futues, and Other Derivatives'' by John C. Hull, Sixth Edition, Pearson Prentice Hall, 2006.
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* [http://www.socr.ucla.edu/htmls/app/ SOCR Applications Site]
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{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_ApplicationsActivities_BlackScholesOptionPricing}}

Latest revision as of 14:55, 3 August 2008

SOCR Applications Activities - Black-Scholes Option Pricing Model (with Convergence of Binomial)

Description

You can access the Black-Scholes Option Pricing Model applet at the SOCR Applications Site, select Financial Applications --> BlackScholesOptionPricing.

Black-Scholes option pricing formula

The value \(C\) of a European call option at time \(t=0\) is: \[ C=S_0 \Phi (d_1) - \frac{E}{e^{rt}} \Phi(d_2) \] \[ d_1=\frac{ln(\frac{S_0}{E})+(r+\frac{1}{2} \sigma^2)t} {\sigma \sqrt{t}} \] \[ d_2=\frac{ln(\frac{S_0}{E})+(r-\frac{1}{2} \sigma^2)t} {\sigma \sqrt{t}}=d_1-\sigma \sqrt{t} \]

Where,
\[S_0\] Price of the stock at time \(t=0\)
\[E\] Exercise price at expiration
\[r\] Continuously compounded risk-free interest
\[\sigma\] Annual standard deviation of the returns of the stock
\[t\] Time to expiration in years
\[\Phi(d_i)\] Cumulative probability at \(d_i\) of the standard normal distribution \(N(0,1)\)

Binomial convergence to Black-Scholes option pricing formula

The binomial formula converges to the Black-Scholes formula when the number of periods \(n\) is large. In the example below we value the call option using the binomial formula for different values of \(n\) and also using the Black-Scholes formula. We then plot the value of the call (from binomial) against the number of periods \(n\). The value of the call using Black-Scholes remains the same regardless of \(n\). The data used for this example are: \[S_0=\$30\], \(E=\$29 \), \(R_f=0.05\), \(\sigma=0.30 \), \(\mbox{Days to expiration}=40\).

  • For the binomial option pricing calculations we divided the 40 days into intervals from 1 to 100 (by 1).


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References

The materials above was partially taken from:

  • Modern Portfolio Theory by Edwin J. Elton, Martin J. Gruber, Stephen J. Brown, and William N. Goetzmann, Sixth Edition, Wiley, 2003.
  • Options, Futues, and Other Derivatives by John C. Hull, Sixth Edition, Pearson Prentice Hall, 2006.
  • SOCR Applications Site


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