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To: Dulane U. Ponder who wrote (13641)1/15/1998 5:47:00 PM
From: Spots  Respond to of 97611
 
Slightly off topic: BTW, DU, did you catch the latest
"Fact and Comment" by Steve Forbes (Jan 20 Forbes) re IMF?
If not, read it on the Forbes web page.

Regards

Spots



To: Dulane U. Ponder who wrote (13641)1/15/1998 9:22:00 PM
From: Seyda  Read Replies (2) | Respond to of 97611
 
Dulane, re: <<I would be very interested in knowing your method, at least in some general sense>>

Are you asking about my earlier post? There is not much to it. You may use the data from

206.7.107.50

Prepare three columns. Column 1 shows the cost per share for options. The following columns are obtained from the open interest as follows: Column 2 sum of the call-OI at the row header strike price and the lower strike prices (in terms of dollars). Column 3 is similar: Sum of the put open interest at the row header strike price and the higher strike prices (in terms of dollars). By nature, the first column is expected to be a list of increasing numbers and the second will be decreasing. The idea is to find the first column value where the two set of number (col 1 and col 2) intersect. You can do this in the last column, which starts with fractions and grows to large numbers. Using a regression analysis in an Excel spreadsheet or even with visual inspection you may find the approximate point.

Since in an efficient market <<ggg>> option prices reflect expectations of players, as you get closer to the expry date the bets ought to converge to the equilibrium price within a reasonable tolerance. Common sense tells that the accuracy will deteriorate as we get distant from the target expry date. I suggest using this procedure as a gauge for risk expectations of market players rather than a prediction tool for the prices.

I hope this helps. Happy investing.
Regards
Seyda