specific predictions relating to fractional moves in prices
We come now to the specific predictions relating to
fractional moves in prices. There are two facts from which our predictions are
derived:
1.
Limit orders tend to cluster more strongly at 8/8 than 4/8, and less strongly
elsewhere. One expects, for example, to find continuations less likely after
any of the four events ending at fractional price 8/8 than at events ending at
2/8.
2.
Since the limit orders act as a barrier to continued price movement, the
specialist and his floor trading competitors have a special incentive to sell
for their own accounts one eighth below 8/8 and 4/8 after Events RR
and FR, and
to purchase one eighth above 8/8 and 4/8 after Events RF
and FF. The
incentive should be strongest at prices 1/8 away from the fractional price 8/8.
For example, we predict that the relative frequency of continuation should be
less after occurrences of Event FF terminating
at fractional price 1/8 than after an occurrence of FF
ending at price 5/8.
Forty predictions derived from these items are set
forth in Table VI. The pre dicted inequality between chances of continuation at
two different fractional prices are given in columns 1 and 4. The numbers under
the four events in columns 2, 3, 5, and 6 refer to the actual difference
between chances of continua tion as calculated from Figure 2 and Figure 3. For
example, the first predicted inequality in Table VI is that, when an event
terminates at 0/8, the chances of a continuation arc less than when an event
terminates at 4/8. That is
Pe(0/8) - Pe(4/8) < 0.
The corresponding number under Event RR in column 2 shows that for the specific Event RR, the difference
Р .(0/8) - РЇ.(4/8) =
- 0.05.
All these occasions in which the facts were not in
agreement with theory are underlined.
Assuming somewhat heroically that the chances of a
correct prediction were 1/2 and independent of the success of any other
prediction, we find that the binomial probability of 29 or more successes (the
observed number in Table VI) out of 40 trials is a mere 0.003. In addition,
examination of the table will disclose that the observed size of the difference
between proportions of continu ations was greater for the correct predictions
than for incorrect predictions.
Note that the chance of a continuation after Event RR terminating at price 4/8
appears to be out of line with the chance of a continuation after an occur rence
of this event at any other fractional price. An explanation was offered by an
odd lot broker on the New York Stock Exchange. He suggested that since limit
orders cluster at fractional price 4/8 and 8/8, single transactions involving
large volume would probably be traded at these levels. But the transactions of
1000 or more shares are printed out in full on the tape. That is, 175 T
59 1/2 as against T 58
5/8 for small orders. And "everybody knows that tape readers will rush in
on the same sid& of
the market as the large orders, thus continuing the move. If this is true, continuations
in price ought to be more likely when the preceding transaction was of 1000 or
more shares.
Some interesting properties of price movement were
masked by our tech nique. We considered movements of 1/8 or more only after the
occurrence of two consecutive non-zero changes of 1/8. Therefore, the total
number of rises and falls at the even and odd eights listed in Table V does not
provide a reason able estimate of the probability that a stock transaction took
place at an even eighth. In fact, the last different price from the terminal
price of all the events in our sample at even (odd) eighths must have occurred
at odd (even) eighths. Thus the distribution of terminal fractional prices of
events RR, RF, FR, and FF is biased to make the numbers of transactions at
even and odd eighths nearly equal. A separate investigation, reported elsewhere
[ll], gives more complete information which bears on the relative frequency of
odd and even eighths. An examination of all transactions on the NYSE in 1964
showed that 58.5% of all transactions on the NYSE during 1964 fell on an even
eighth. The symmetric 95% confidence limits were at 55.9% and 61.1%. This
preference for even eighths is largely a consequence oi the tendency for 62% of
all trans actions at the same price as the previous price to occur at even
eighths. This, in turn, is a consequence of the heavy concentration of limit
orders at even eighths (six to one in the typical specialist's book of Table
IV).
Category: Methods of technical analysis
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