
666 Chapter 23 Review and behavioural finance
Behavioural finance draws on the work of psychologists such as Kahneman and Tversky
(1979, 1982) on how human decision-making varies from rational decision-making.
Examples of the main differences are:
■ Information processing. One example where humans typically have a bias in informa-
tion processing relates to loss aversion. This arises where investors or decision mak-
ers view gains and losses differently. This was observed in Chapter 8 where utility
functions were examined. The very word ‘loss’ is associated with psychological feel-
ings of responsibility, blame and shame. This is called regret – the feeling of bereave-
ment when a wrong alternative is chosen, as measured by the difference between the
payoff received and what could have been achieved. Typically, we find that an
expected loss has more than double the impact on us as a gain of the same magni-
tude. Shareholders holding diversified portfolios would not wish corporate man-
agers to exhibit such strong loss aversion in their decision-making.
■ Self-deception. Most drivers are convinced that they are better than the average driver!
Similarly, managers and investors can easily deceive themselves regarding their
capabilities. This can be seen in overconfidence or overoptimism, leading to sys-
tematic overestimation of what they can achieve, known as hubris. This is fre-
quently encountered in the field of merger and acquisition activity, as seen in
Chapter 20. Market traders may deceive themselves that they can consistently beat
the market, and ascribe above-average returns to their own skills but below-
average returns to bad luck.
Investors show various traits of behaviour
FT
Is it possible to use the principles
of behavioural finance to make
money on the stock markets?
Some investors are certainly put-
ting it to the test. Behavioural
finance is the study of certain
psychological traits that inves-
tors display, which prevent them
from acting in a purely rational
manner.
Investors display a whole range
of traits. These include:
■ Loss aversion: an unwilling-
ness to accept losses that caus-
es them to hang on to losers
and sell winners.
■ Overconfidence: this causes
them to trade too often.
■ Confirmation bias: this causes
them to listen only to such evi-
dence as confirms their origi-
nal view.
Fuller & Thaler Asset Manage-
ment is a US fund management
group that is attempting to exploit
these investor weaknesses. One of
the group’s directors is Daniel
Kahneman, who received the
Nobel Prize for economics for his
behavioural work.
The company attempts to
exploit market anomalies associ-
ated with anchoring. This occurs
when investors develop a fixed
view about a company’s prospects
and are thus slow to react to new
and contradictory information.
This can work in two ways. The
group has a growth fund that
capitalises on the market’s
under-reaction to new positive
information. When companies
beat profit forecasts by a wide
margin, analysts can be slow to
upgrade their forecasts; they
hate to admit they were wrong.
The next set of results then con-
firms the faster trend and fore-
casts get upgraded. This shows
up in a ‘momentum effect’ on the
stock market, when shares that
have recently performed well
continue to do so.
The value fund looks for compa-
nies and shares that have been
beaten down by the market, but
are showing signs of improve-
ment. Investors perceive the com-
pany as a basket case and when
earnings prove better than expect-
ed, they dismiss the result as a
fluke. Eventually, as the improve-
ment process becomes permanent,
analysts and investors catch on,
upgrading their earnings fore-
casts and applying a higher rating
to those earnings.
These approaches have been
fairly successful so far. The
growth fund returned an annu-
alised 17.3 per cent, after fees,
between the start of 1992 and
the end of last year; the value
fund returned 18.8 per cent per
year between the start of 1996
and the end of last year.
Source: Philip Coggan, Financial Times, 27 March
2004, p. 10.
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