Tests of capital market efficiency
Each of the dots on the graphs is one day’s price movement for a particular security,
plotted against that of the following day for the same security. Figure 9.2 reflects a
positive correlation, that is, it suggests that an increase in the security price on one day
will be followed by another increase on the following day. Figure 9.3 implies a
negative correlation so that an increase in price on one day would mean a fall on the
following day, and vice versa. Figure 9.4 shows what we should expect if the security
were traded in a weak-form efficient market: there appears to be randomness between
one day’s price movement and that of the next. Sometimes an increase is followed by
an increase, sometimes by a decrease, but with no patterns.
Many tests have sought to identify relationships between price movements on two
or more consecutive days or weeks, and found no such relationships, either positive
or negative, of significant size. This research shows that security price movements
closely resemble the sort of pattern that would emerge from a random number gener-
ator. Probably the most highly regarded of these serial correlation tests was conducted
by Fama (1965). Brealey (1970) and Cunningham (1973) conducted similar tests on
security prices in the LSE and found evidence of weak-form efficiency.
Most of the rules used by technical analysts have been tested. For example,
Alexander (1961) used a filter rule and found that abnormal returns could be made,
but as soon as dealing charges are considered the gains disappear. Dryden (1970),
using filter tests on UK security prices, came to similar conclusions.
Counter-evidence on weak-form efficiency
There is an increasingly large body of evidence of an apparent tendency for investors
to overreact to new information. There seems, for example, to be evidence that the
release of an item of news that reduces the price of a particular share tends to cause
the price to reduce more than is justified. This overreaction is subsequently corrected
Figure 9.4
Graph of a
security’s price on
one day (day t)
against that of the
following day (day
t++1) where the two
movements are
uncorrelated