An
excellent and succinct
introduction to the
topic from one of its
leading exponents. The
examples are both fun
and
instructive in
establishing just how
flawed your investment
thinking may be and the
paper
offers some
pragmatic
recommendations to
market
practitioners on
how to
deal with these
traits in oneself and
one's
clients.
Behavioral finance is a new field
in
economics that has recently become a subject
of significant interest
to investors. This
article provides a
general
discussion of
behavioral finance and presents
some insights
from this
field that apply to
the
problems plan
sponsors
face when
evaluating and
selecting active equity
managers.
Theoretical models predict that
overconfident investors trade excessively. We
test this prediction
by
partitioning
investors
on gender.
Psychological research demonstrates
that, in
areas such as finance,
men are more
overconfident than
women. Thus, theory
predicts that men will
trade more
excessively
than
women. Using
account
data for over 35,000
households from a large
discount brokerage, we
analyse the common
stock
investments of men
and women from
February
1991 through
January
1997. We
document that men trade 45
percent
more than women. Trading
reduces men’s net
returns by 2.65
percentage points a year
as
opposed to 1.72
percentage points for
women.
Investors are not all alike and
neither
is their sentiment. The sentiment
of
Wall
Street
strategists is
unrelated to the
sentiment of
individual
investors or that of
newsletter writers
although the sentiment of
the last two groups
is closely related.
Sentiment can be useful
for tactical asset
allocation.
There is a
negative relationship
between the sentiment
of
each of the three
groups
and future stock
returns and that
relationship is statistically
significant for
Wall
Street strategists and
individual
investors.
We
develop a positive behavioral
portfolio theory
and explore its implications for portfolio
construction and security
design. Portfolios
within the
behavioral
framework resemble
layered pyramids. Layers
are
associated with
distinct goals and
covariances between
layers
are overlooked. We explore a
simple two-layer
portfolio. The downside
protection layer is
designed to prevent
financial
disaster. The
upside potential layer
is designed for a shot
at becoming rich.
Behavioral
portfolio theory
has predictions
that are
distinct from those
of
mean-variance portfolio
theory. In
particular, behavioral
portfolio theory is
consistent with the
reluctance to
have short
and
margined positions,
an
inverse relation
between the bond/stock ratio and
portfolio
riskiness,
the existence of the
home bias, the
use of
labels such as
“growth”
and “income,” the preference for
securities
with floors
on
returns, and the purchase of
lottery
tickets.
Tactical asset allocation
practitioners
emphasise quantitative tools,
while
traditional market timing
practitioners
emphasise
qualitative ones. Each
forecasting method is
subject to biases and
each calls
for
remedies.This
paper
discusses five
cognitive
biases that underlie the illusion of
validity:
overconfidence, confirmation,
representativeness,
anchoring and hindsight.
In
this short, very
readable document the
authors use forecasts
based on p/e ratios and
dividend yields to
illustrate these biases
and offer
remedies.
This
paper examines the so-called
disposition
effect, the tendency of
investors to hold
losing
investments too
long and sell
winning
investments
too soon.
They may (rationally or
irrationally) believe
that their
current
losers will in future
outperform
their current
winners.
Unfortunately, the winning
investments that
they choose to sell
continue in subsequent
months to outperform the
losers they keep.
This results in poor
returns, particularly in
taxable situations. The
paper does not,
however,
suggest methods
of counteracting this
aberrant behaviour.
Clearly, rigorous
internal investment
processes, which include
profit-taking and
loss-taking rules, are
required.
This
paper presents typical
analyst forecast errors
by industry and shows
that these errors are
large and related to
behavioural
tendencies
towards
extrapolation
from the past, being misled by expert opinion
and consensus as
well as peer and
institutional
pressures.
He examines the
different types
of
earnings surprises, their
impact,
size and
frequency and
finds that
there is
post-surprise
reversion
towards the mean. Analysts and fund
managers
typically display the
behavioural
phenomenon
of unjustified
confidence. When this is betrayed by a
surprise the
result is
overreaction, which
results in
the long-term success of contrarian
strategies.
In this
paper we document that
stocks highly
recommended by analysts
outperform the market,
while those that are
unfavourably
recommended
underperform. Our
findings are based on
an
extensive analysis of
over 360,000 analyst
recommendations from 269
brokerage houses over
the period
1986-1996.
We
show
that strategies
of
purchasing the stocks
with the most favourable
consensus
(average)
recommendations or
selling
short those with
the
least favourable
recommendations, in
conjunction with daily
portfolio rebalancing
and
a quick investor
response to
changes in
consensus
recommendations, yielded an annual
abnormal
gross return
of more than 4 percent.
Less frequent
portfolio
rebalancing or a delay
in reacting to
consensus
recommendation
changes diminished
the
abnormal returns;
however, they did remain
significant for
the
least favourably rated
stocks. We also
show that
quite high
trading
levels are required to
capture the excess returns generated by the
strategies we analyse,
entailing substantial
transactions
costs and
leading to abnormal net
returns that were not
reliably greater
than
zero.
The
paper outlines how behavioural
finance is
needed to address the
problem of Keynes'
"animal spirits" (i.e.
sentiment), which
distorts modern
finance
theory as a
result of
aberrations such as
"bounded rationality"
(i.e. people are
silly
sometimes), the fact
that mistakes
are
repeated (by many people
at the same time or
the
same people at
different times), that
false beliefs do
matter
and that information
is not always
asymmetrical (i.e. silly people
may not be
aware
that they are being
silly). It discusses
the
concepts of framing,
heuristics and the dynamics of security
prices, including analyst
forecasts, the
winner/loser effect and
evidence of market
underreaction.
Recent
literature in empirical
finance is surveyed in
its relation to
underlying behavioral
principles, principles
which
come primarily
from psychology,
sociology and anthropology.
The behavioral
principles
discussed
are: prospect theory,
regret and cognitive
dissonance, anchoring,
mental
compartments,
overconfidence, over- and
underreaction,
representativeness heuristic,
the
disjunction effect,
gambling behavior and
speculation, perceived
irrelevance of history,
magical
thinking,
quasi-magical
thinking, attention anomalies, the
availability heuristic,
culture and social
contagion, and global
culture.
the
attached article compares
behavioural finance
with standard finance. Standard finance is a
poor descriptive theory
of finance. Investors
regularly
overlook the
arbitrage principles of
Miller and
Modigliani,
fail to
use Markowitz
in
constructing their portfolios and don't
drive stock
returns to
levels predicted by
Sharpe’s
CAPM. People in
standard finance are
rational
whereas people
in
behavioural finance are not always rational,
but
are always normal.
Normal people are often
confused by frames,
are
affected by
cognitive errors, know the
pain of regret and the struggle with
self-control. Statman
discusses the puzzles of
investor's preference
for cash dividends, the
phenomena of selling
winners too early
and
riding losers too
long,
the pursuit of
"popular" stocks, the
role of marketing
financial
products and
the
behavioural forces
that shape financial regulations.
Some of
the interesting anomalies
discussed include:
There are important limits to arbitrage - it
may often pay “smart
money” to follow “dumb
money” rather
than to
lean against it. There
are
limits to
learning –
the
opportunity costs of learning or experimenting
can
result in
us
becoming
stuck in nonoptimal
equilibrium, simply
because the cost of
trying something
else is
too
high. A
rapidly-changing
environment
exacerbates this, and learning
opportunities
can be limited to start with -
for example,
the number
of times we get to
learn
from our retirement
decisions is low, and
possibly zero. The three
tenets of the
so-called
“standard
economic
model” of
human
behaviour: unbounded
rationality,
unbounded
willpower and
unbounded selfishness are all called into
question, as are core
economic principles
such
as the law of one
price.
The article
illustrates some of these
aspects in a field we have not touched
on
before: savings. For
example, the life cycle
model of savings and
consumption is
patently
untrue, as
illustrated
by the frightening
fact
that most people cannot
afford to
retire.
The
paper shows that a wide range
of value
strategies do indeed
produce higher returns,
and then tackles the
two
potential
explanations.
It shows that the
pattern of
returns and the structure of past,
expected
and
actual growth rates
is consistent
with the
contrarian
model, and
that there is
little, if
any, support
for the
view that value strategies are
fundamentally
riskier. The resulting
implication is
that the
market has a
predilection for naive
growth strategies.
Reasons for
this could be the placing of
excessive
weight on
recent history, "glamour"
factors,
the
overestimation of
good but expensive companies
and the very
pertinent fact
that most
investors
have
shorter time horizons than are
required for value strategies to
pay off
consistently.
The
article examines the reasons
that lead to the
rise of behavioural finance. These were
generally anomalies
inexplicable
by
conventional financial
economics theory, such
as excessive trading,
excessive
volatility,
the dividend puzzle, the
equity premium puzzle
and the predictability
of
returns. He then
summarises the progress
and discoveries made
by
the behavioural
approach
and suggests
further areas of
investigation. These
include
large-cap stocks, corporate
finance and the
behaviour of
individual
investors.
Jennifer Conrad,
Bradford Cornell,
Wayne R. Landsman
We
examine whether the
asymmetrical price
response to bad and good
earnings shocks changes as the relative
level
of the market
changes. The study is
based on a sample of
24,108 announcements of
firms’ annual
earnings
during the period 1988
to 1998. The level of
the market is a
relative
measure based on the
difference between the
market P/E at the end
of
the
announcement month and the average
market
P/E over the
prior 12 months.
Predictions based
on
behavioral finance models
and
extended
regime-shifting
models suggest
that stock
prices
should respond
more strongly
to
negative news as the
relative market level
rises.
Similarly, prices
should respond more
strongly to good news in
bad times, although
the
effect should be somewhat attenuated if
the
regime-shifting
models are descriptively
valid. The
findings
generally support these
predictions.
In this paper we
compare and contrast
modern finance (the de facto ruling paradigm
of financial economics)
with what is being
called (most of
the
time) behavioral finance,
and some time “the
anomalies
literature.” The
faithful of
the ruling paradigm have
marginalised
behavioral
finance by
making it the “anomalies literature.” But even
the
supposed proponents
of behavioral finance
are marginalising
themselves by clinging
to the
underlying
tenets,
forms, and
methods of
what is now
called modern finance. They have
allowed it to set
the terms of the debate and
made it the
benchmark
against all finance is
not only judged, but
also labelled
“finance.”
But finance research
is subject to
the same
“mistakes” that
behavioral finance
attributes to
practitioners, and it
is
these
same “mistakes,” perhaps more than the
fierce
attacks of the
supporters
of the ruling
doctrine that are
preventing behavioral
finance from emerging as
a new
paradigm. In
effect,
the mere failure
of
behavioral finance
is
proof of its veracity and
legitimacy.
We review evidence
about how
psychological biases affect investor behavior
and prices. Systematic
mispricing
probably
causes substantial
resource misallocation.
We
argue that limited attention and
overconfidence cause
investor credulity
about
the strategic incentives of informed market
participants.
However, individuals as
political
participants
remain subject to the
biases
and self-interest
they exhibit in
private
settings. Indeed,
correcting
contemporaneous
market
pricing errors is
probably not government’s
relative advantage.
Government and
private
planners should
establish rules
and
procedures ex ante
to
improve choices and
efficiency, including
disclosure, reporting,
advertising, and
default-option-setting
regulations.
Especially,
government should
avoid
actions that
exacerbate investor
biases.
The paper introduces
the topic by
stating that on any given transaction, the
chances of winning or
losing may
be near even.
However, in the long
term winners profit from
trading because they
have some
persistent
advantage which allows
them to
win slightly
more often,
or slightly
bigger,
than the losers.
Winners
choose better portfolios than losers, they
time their trades
better
than
they negotiate
their
trades better. The
paper examines the
economics that
determine
the
winners and losers
in
trading, the types
of
traders and how their trading
styles lead
to
profits or losses as
well as how access to
information of various types
creates trading
advantages and why many
losing traders
continue
to
trade.
The article offers a
brief survey of
prior research and produces new survey
evidence of actual investor
behaviour,
offering a list of
widely-acknowledged
anomalies in behaviour
as well as some
interpretations.
Four
classes of
anomalies are
discussed: Investors' perceptions of the
stochastic process
of asset prices,
investors'
perceptions
of value, the management of
risk
and return and
trading
practices. The
portrait
of investors which develops is
unflattering.
The research analysed
the profitability
of these two strategies on the
Frankfurt
Stock
Exchange
over 31
years.
It found that both strategies were
profitable
and examined
some possible reasons,
including the size
effect and various risk
measures, including
the
macroeconomic
environment. Interestingly, the
momentum
strategies
performed well irrespective of the
state of the
economy, while the contrarian
strategies
performed
poorly when the discount
rate was low
and when
long-term
interest rates greatly exceeded
short-term rates.
The attached paper
tests two main
hypotheses. The first is that excessive
optimism leads to periods of
market
overvaluation.
This would then lead to
the second hypothesis,
that high current
sentiment
is followed by low
cumulative
long-run
returns as the market
price reverts to its
intrinsic value. If the
price correction
were
quick and
predictable,
there would be a
potentially
profitable
trading strategy. It is
found that after a
bullish shock to
sentiment there is an
economically significant
positive effect on
prices in the first few
months, which is then
nearly completely
reversed over the next
three
years. This effect is
concentrated in the
large-cap growth
stocks.
The attached paper
reviews both fully
rational and imperfectly rational theories of
behavioural
convergence;
their implications for investor
trading,
managerial
investment and financing choices,
analyst
following and forecasts,
market
prices, market
regulation and welfare; and
associated empirical
evidence. Some of the
more interesting
sections deal with herd
behaviour in
research
and trading,
herding by stock analysts and
other forecasters and
cascading effects in
securities trading,
creditor runs, bank
runs, financial contagion
and
crashes.
Are you primarily
left-brained or
right-brained? And will this have any effect
on your investment
performance? In this rather
fun
paper Michael Boyd
reports on the result
of an experiment
he
carried
out on his MBA
students.
The experiment seemed to support the
view that
hemispheric
consensus
may lead to better stock selection, but not
necessarily to the
extent of
outperforming an
unmanaged index.
Moreover, it appears
likely that the
technique’s benefits
quickly dissipate
with
the passage of time. It
may therefore
follow
that
hemispheric consensus building is
better
applied to
active portfolio
management or even short-term
trading than to
buy-and-hold strategies.