We are generally overconfident; that is, we tend to overestimate how much we know.
People often overestimate their ability to predict future events, trust their
knowledge more than they should, and believe they have a greater influence on
random outcomes than they actually do (so called “illusion of control”
bias (Langer 1975)).
In addition, the overconfidence phenomenon can be reinforced by cognitive
biases such as the "self-attribution” bias, where individuals
attribute their successes to their own abilities and blame failures on bad
luck, and the "hindsight bias", where people believe they
predicted an event after it has already occurred. (Barberis and Thaler, 2003).
Illustrating overconfidence in one’s own skills, and possibly optimism as well,
Svenson (1981) finds that 82% of a sample of students placed themselves among
the top 30% safest drivers.
Overconfidence has also been documented among experts and professionals,
including those in the finance profession. For example, it is observed among
corporate financial officers (Ben-David, Graham, and Harvey 2013) and among
professional traders and investment bankers (Glaser, Langer, and Weber 2013).
Overconfidence in a financial context
A financial trade requires that two parties agree to disagree in the sense that
at a given price one party believes it is a good idea to sell the asset while
the other party believes it is a good idea to buy it.
While disagreement on the value of an asset may be a driving factor for trade,
other factors such as liquidity needs or portfolio diversification may also
play a role. It is well-documented that individuals in the economy often hold
divergent views on the value of securities, with many individuals believing
that he or she is correct.
In overconfidence-based models, investors who are overconfident form judgments
about the value of a security by putting too much weight on their own views and
insufficient weight on the views of other investors (as reflected in the
security’s price). As a result, overconfident investors expect high profits
from trading on their opinions and overinvest.
The excessive trading of individual investors can be called the active
investing puzzle.
Active investing puzzle
Individual investors trade individual stocks actively, and on average lose
money by doing so. The more actively investors trade, the more they typically
lose (Odean 1999).
Barber and Odean (2000) discovered that a subset of households in a sample of
78,000 clients of a large discount brokerage firm from 1991 to 1996 had
significantly higher trading activity. They also found that the turnover, gross
returns, and net returns varied among the different groups of clients based on
their trading activity, as illustrated in Figure 1.
The gray bars represent the average monthly turnover for accounts in each
quintile, with the fifth quintile having an average turnover of over 20% per
month. The white bars indicate gross returns, revealing little variation across
quintiles.
However, the black bars demonstrate a significant difference in net returns.
Investors with high turnover pay large fees, resulting in lower net returns due
to their high volume of trades.
A range of evidence from a wide variety of sources suggests that overconfidence
provides a natural explanation for the active investing puzzle because it
causes investors to trade more aggressively even in the face of transactions
costs or adverse expected payoffs (Odean 1998).
The prototype of the overconfident
In the popular imagination, young people are reckless and overconfident, whereas senior citizens are cautious and circumspect.
Moreover, psychologists found that in areas such as finance men are more
overconfident than women.
Thus, our prototype should be a young man with a strong fascination for the
financial world.
While Barber and Odean (2001) found that the average turnover for accounts
opened by men is about 1.5 times higher than accounts opened by women (and as a
result men pay 0.94 percent per year in higher transaction costs), Bhandari and
Deaves (2006) found that (supposed) precision in judgment increases with age.
In addition, it seems that the prototype of the overconfident is a
highly-educated male who is nearing retirement, who has received investment
advice, and who has experience investing for himself.
Conclusion
Overconfidence is a commonly observed phenomenon in human behavior, product of
cognitive biases and social influences.
As other biases and heuristics, knowing and being aware of its existence it’s
the only weapon that we have, in order to reduce its effects and consequences.
So, next time you're feeling extra confident, remember to take a step back and
consider the possibility that you may be overestimating your abilities.
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