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ollama-model-training-5060ti/training_data/curated/text/cd73bb080bb91d5a27efe183e93c714d8c1fee1aff85eedb07eb0c8a12c1ddcd.txt

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458 Part IV: Additional Considerations
This approximation is quite accurate for option pricing purposes, since one is not
really interested in thousandths of a point where option prices are concerned.
Example: Suppose that XYZ is trading at 45 and we are interested in evaluating the
July 50 call, which has 60 days remaining until expiration. Furthermore, assume that
the volatility of XYZ is 30% and that the risk-free interest rate is currently 10%. The
theoretical value calculation is shown in detail, in order that those readers who wish
to program the model will have something to compare their calculations against.
page:
Initially, determine t, d1, and d2, by referring to the formulae on the previous
t = 60/365 = .16438 years
d _ In (45/50) + (.1 + .3 x .3/2) x .16438
1-
.3 X ✓.16438
= -.10536 + (.145 X .16438) = __ 67025 .3 X .40544
d2 = -.67025 - .3 ✓.16438 = -.67025 - (.3 x .40544) = -.79189
Now calculate the cumulative normal distribution function for d1 and d2 by
referring to the above formulae:
dl = -.67025
l 1
y = l + (.2316419 I -.67025 I) = 1.15526 = ·86561
z = .3989423e--(-.67025 X -.67025)/2
= .3989423e-0·22462 = .31868
There are too many calculations involved in the computation of the fifth-order
polynomial to display them here. Only the result is given:
X = .74865
Since we are determining the cumulative normal distribution of a negative
number, the distribution is determined by subtracting x from l.
N(d1) = N(-.67O25) = l -x = l - .74865 = .25134
In a similar manner, which requires computing new values for x, y, and z,
N(d2) = N(-.79179) = 1- .78579 = .21421