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Chapter 28: Mathematical Applications 477
upward potential was 65/s points, while the downward potential is about 5¾ points.
This difference is due to the use of the lognormal distribution.
Step 8: Using the Black-Scholes model, one could estimate that the XYZ
January 40 call would be worth about 11/s if XYZ were at 35¼ in 90 days.
Step 9: The risk potential in the January 40 call would be:
. 4- l1/s 27/s Percent nsk = --- = - 72% 4 4
Step 10: The reward/risk ratio is merely the percentage reward divided by the per­
centage risk:
Reward/risk ratio = l03% = 1.43 72%
Step 11: This analysis would be repeated for all XYZ options, and then for all other
optionable stocks. The less aggressive call purchases would be ranked by their
reward/risk ratios, with higher ratios representing more attractive purchases. More
aggressive purchases would be ranked by the potential rewards only (step 5).
This completes the call buying example. Before leaving this section, it should be
noted that the assumption of ranking the purchases after one full standard deviation
movement by the underlying stock is probably excessive. A more moderate assump­
tion would be that the stock might be able to move . 7 standard deviation. There is
about a 25% expected chance that a stock could move up at least . 7 standard devia­
tion at the end of a fixed time period.
PRICING A PUT OPTION
Theoretical models for pricing put options have been derived; that is, ones that are
separate from call pricing models. Black and Scholes presented such a model in their
original paper. However, as has been demonstrated, there is a relationship between
put and call prices in the listed option market due to the conversion and reversal
strategies.
One could use the ba,sic call pricing rrwdel for the purpose of predicting put
prices if he a,ssumes that arbitrageurs will efficiently influence the market via con­
versions. Theoreticians will argue that such a method of pricing puts assumes that the
arbitrage process is always present and works efficiently, and that this is not true. The
"conversion efficiency" assumption could be a serious fault if one were trying to
determine the exact overpriced or underpriced nature of the put option. However, if
one is merely comparing various put strategies under constant assumptions, the arbi­
trage model for pricing puts works quite well.