Files
ollama-model-training-5060ti/training_data/curated/text/7bba8c8958ba71649fcae4d78c39a3a4e01446575af6b524c6cbad52dd243845.txt

52 lines
1.6 KiB
Plaintext
Raw Permalink Blame History

This file contains invisible Unicode characters
This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
464 Part IV: Additional Considerations
TABLE 28-1.
Implied volatilities, closing price, and volume.
Option
Option Price Volume
January 30 41/2
January 35 11/2
April 35 21/2
April 40 11/2
TABLE 28-2.
Volume weighting factors.
Option
January 30
January 35
April 35
April 40
Volume
50
90
55
5
50
90
55
~
200
Implied
Volatility
.34
.28
.30
.38
Volume Weighting Factor
.25 (50/200)
.45 (90/200)
.275 (55/200)
.025 ( 5/200)
where x is the percentage distance between stock price and strike price and a is the
maximum percentage distance at which the modeler wants to give any weight at all
to the option's implied volatility.
Example: An investor decides that he wants to discard options from the weighting
criterion that have striking prices more than 25% from the current stock price. The
variable, a, would then be equal to .25. The weighting factors, with XYZ at 33, could
thus be computed as shown in Table 28-3. To combine the weighting factors for both
volume and distance from strike, the two factors are multiplied by the implied volatil­
ity for that option. These products are summed up for all the options in question.
This sum is then divided by the products of the weighting factors, summed over all
the options in question. As a formula, this would read:
Implied _ I,(Volume factor x Distance factor x Implied volatility)
volatility - I,(Volume factor x Distance factor)
In our example, this would give an implied volatility for XYZ stock of 29.8%
(Table 28-4). Note that the implied volatility, .298, is not equal to any of the individ-