Behavioral finance FAQ / Glossary (I-L)

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Ig - Il


Dates of related message(s) in the
Behavioral-Finance group
(*):

Year/month, d: developed / discussed, i: incidental

(rational) Ignorance

08/3i + see cognitive overload

Rational ignorance is the practice to shun the quest for extra knowledge if it would

cost more than the benefits it would yield when applying it to decision making

Illiquidity

See liquidity squeeze

(Cognitive) Illusion

Illusion of competence, experience, knowledge

Illusion of control

Due to their lengths, those articles

are in a separate page

of this "I-L" glossary section


(stock) Image coefficient



Due to its length, this article
   
is in a separate page

of this "I-L" glossary section

Imitation



Due to its length, this article
    is in a separate page

of this "I-L" glossary section

Inaction

See indecision, status quo bias, delaying tactics, default decision preference

(perverse) Incentive



Due to its length, this article
    is in a separate page

of this "I-L" glossary section

Ind


Dates of related message(s) in the
Behavioral-Finance group
(*):

Year/month, d: developed / discussed, i: incidental

Indecision

07/10i + See decision, delaying tactic,
status quo bias, default solution preference

(non) Independence, (non) Independent (in decision distribution)

00/6i,8i - 02/8i + see distribution
.

When minds glued together bend data randomness.

To have a pure random distribution in a statistical series of data.

the phenomena that are measured should be "independent".

This means that

Those phenomena should not be linked to one another

(related to a common cause, or having a cause-effect relation...).

The frequency of any event should not depend of the frequency of another one.

The case of asset markets

When assets lose their war of independence.

In the stock market, for a distribution (of prices, returns, etc.) to be random, independence
should relate:

Not only to fundamentals (there should be a sufficient diversity of firms),

But also to the market players' psychology.

To stay independent they should normally not always share the same attitudes and analyses

and they should not take similar decisions.

In practice, investors tend to influence / contaminate

one another in their decisions.

This makes that the stock market data distribution

fails to obey fully the independent psychology condition.

This creates price and return distribution anomalies (cascades of price rise or price falls),

that stray from "random laws" (see distribution).

Ine - Ir


Dates of related message(s) in the
Behavioral-Finance group
(*):

Year/month, d: developed / discussed, i: incidental

Inefficiency, inefficient



Because of its length, this article
    is in a separate page

of this "I-L" section of the Glossary

Inertia

See hysteresis, delaying tactics, status quo bias

Information (incidence of, reaction to)

Information anomaly

Information asymmetry

Information bias

Information cascade

Information dissemination

Information economics

Information overload

(mental) Information processing

Due to their lengths, those articles

are in a separate page
of this "I-L" glossary section

 

 


 

 

Instinct

08/12d + see automaticity, intuition, decision

Intention, intentionality

See goal

Contrarily to what behaviorism, at least in its primitive form, reductively states,

People moves occur not only as reactions to external stimuli,

They can also be driven by some self generated intentions.

When those inner intentions get clearly organized within the mind they become precise goals.

Of course, some intentions might be collective, making people act or react more or less similarly.

Intrinsic value

02/12i - 03/2d 04/4i - 04/5i 05/10i + see
(fair / intrinsic / economic) value, extrinsic

Intuition

See automaticity, instinct, decision

Investor psychology / style

Due to its length, this article
    is in a separate page

of this "I-L" glossary section

Irrational, irrationality

01/8i,11i - 02/4i,7i,9i,10i - 03/10i;- 04/4i,5d,9i
- 05,1i
+ see rational, rationality

Was it stupid?

(the related glossary articles detail those notions

and their financial / economic aspects).

The words irrational / irrationality are obviously the opposite of rational / rationality

It relates to decisions that have all chances to be damaging as going against
one's interests or goals.

When an individual or collective move is performed, an irrationality can interfere,

either in the observation of the situation,

or in its analysis,

or in the decision itself.

Here a behavioral bias (see that phrase), which origin is cognitive or emotional, is at play.

How to spot it?

Hidden under a coat of rationality?

The problem in many cases, it that it is not too easy to qualify an action as rational
or irrational:

It depends on the definition of rationality: see that word.

It can be judged only post-facto, when seeing its outcome.

And - which is more difficult - it can also be judged only after trying to take out

the role that pure luck / unluck played on that outcome ;-)

J


Dates of related message(s) in the
Behavioral-Finance group
(*):

Year/month, d: developed / discussed, i: incidental

January effect

See calendar effect + 05/12i

(Markovian, quantum) Jump

See percolation, quantum leap,
non linear, bifurcation.

Jumping beans in the market stall.

Sometimes, abrupt and important changes are seen in time series of statistical data,

for example market price evolutions.

Those disruptions in a linear or fuzzy evolution, are in some cases called quantum
(or Markovian) jumps. They can be linked

* either to some cycle that is proper to the system and that will self-correct,

* or to some deeper and more persistent evolution of the system.

Those jumps signal therefore:

Either a rare unexpected

accident / incident

(see rare event, small number)

which is

* Temporary, thus completely compatible with the
   system,

* And not really altering its random law.

It just shows, as it is a bit far from the other data,
that the statistical "distribution tail" is longer than
seen in too short time statistics or too small samples.

Or a trend reversal:

an old trend breaks and a

new one starts, here again

without changing the system

itself.


Rain and sun alternate, but the climate itself for a
given area
changes very little years after years
(whatever the butterfly wings do, the system is rather
"robust").

This is the case when a "bubble bursts" or a
currency loses value suddenly (see the peso
problem anomaly).
It might change only marginally the bases of the
economic / financial system. Capitalism survives!

Or a more fundamental
   
mutation of the

system itself,

a totally new, that leads to
sometimes irreversible
states or situation, with
emerging traits.

It is often due to a percolation (see that word)
above a critical threshold.

Here, the ump represents only the quantitative

aspect of the qualitative evolution that is behind.

A famous / infamous example was the "new
economy"(and "new finance / new capital", with
an excessive use of derivative markets, frenzied
online trading or other financial innovations).

K


Dates of related message(s) in the
Behavioral-Finance group
(*):

Year/month, d: developed / discussed, i: incidental

Kiss of death

See winner's curse.

Knowledge, Knowledge acquisition


01/9i + see information learning, paradigms,
common conventions
, memetics,
(illusion of) knowledge

Knowledge, and its main components, information and learning (see those words), are
among the most powerful engines (in common with innovation) in today economies.

The problem is that individual as well as collective knowledge and information

are often biased   , as byproducts of cognitive and emotional biases.

Whence various flaws in knowledge acquisition (see learning).

Knowledge asymmetry

See asymmetry

(illusion of) Knowledge

03/2i - 04/ 3i + see illusion,
overconfidence

Kurtosis

02/7i,11i - 03/8i + see fat tail, distribution
curve,
rare event, cluster, asymmetry

Dents and bulges, what happened to the bell?

Kurtosis is a mathematical indicator that measures how much a statistical distribution

differs from a "normal" bell-shaped Gaussian curve.

It is found for example in market prices and returns evolutions

It shows how the dispersion of data from the mean is larger or shorter, flatter or more
peaking, regular or clustered, symmetric or skewed, compared to that normal distribution.

It takes for example into account clusters (etymology: kurtosis = bulge) of events,
or on the contrary voids (scarcities of events), that might be present at "wrong
places" (*) of the curve when compared to the perfect bell outline that fits the
normal random law.

(*) located for example in the centre, or at the ends, or on one side (asymmetries)

A glimpse at leptokurtosis, as an example

Leptokurtosis (see that word) is a higher than normal concentration

of data near the mean, combined with fat tails.

A dissident camel showing a very high, narrow and peaking bump in the middle

and two small bumps at each end.

Market price variations tend to be leptokurtotic.

Most of the time the volatility stays close to the average,

and suddenly extremely strong rises or falls happen.

La - Le


Dates of related message(s) in the
Behavioral-Finance group
(*):

Year/month, d: developed / discussed, i: incidental

Lag, latency

02/5i + see hysteresis

Laziness / Lazy thinking

04/8i + See heuristic, default of attention,
status quo bias
(rational) ignorance,

Laziness when making decisions (for example about investment), takes usually the form of
skirting the homework
of digging deeper for information and analysis.

Here are the possible consequences:

It can have some rationale in effort saving (see for example "rational ignorance").

But it often leads to simplified heuristic and imitative or routine behaviors, that causes
             wrong decisions.

Another form of laziness is under-trading / underreaction (see those words)

but, after all, overtrading might be even more damaging.

Lead & lag

02/5i + see hysteresis, rotation

Learning (social)

00/12i + see knowledge acquisition,
imitation, habit

Learning by walking in other people's steps

Some behaviors are considered as innate.

But many others are learned via social contacts and interactions   ,
and chiefly through
imitation (see that word).

People learn some behaviors by themselves, via their own discoveries,

but they also learn many behaviors from one another, inside the social context
in which they live. "In Rome, do like the Romans do".

As a consequence, people might be "under influence" and not decide all the time
on their own free will or their independent analysis,
even when they think so.

Well, it is normal that society has its own rights, and one of them

is to help individuals to learn proper behaviors.

The problem starts if the usefulness of those conventional /

common ways of thinking and doing are never questioned, even
when they become oppressive or counterproductive.

But what about individual and autonomous learning?

On a more individual aspect, uncritical and overspecialized learning because of
narrow social frequentation
might also create counterproductive habits, illusions of
knowledge and cultural biases that distort the analysis of phenomena as well as behaviors.

Such narrow learning might be obsolete knowledge or be unsuited to different situations or
evolving ones.

De-learning is needed to get rid of obsolete knowledge that stifle adaptation or
      of bad habits

Leptokurtic distribution, leptokurtosis

07/4i + see fat tails, kurtosis

Li


Dates of related message(s) in the
Behavioral-Finance group
(*):

Year/month, d: developed / discussed, i: incidental

(financial) Lifecycle

See time horizon, long bias, (narrow) framing, rotation

Living on a wheel?

Lifecycle is a concept applied in biology, and also in marketing and innovation (product life
cycle
).

Usually, innovation have to break through some initial resistance (see status quo bias,
percolation).

If they succeed, they develop very fast, then stabilize, then decline.

Well, this is a bit simplistic, other "curves" are possible.

In demographical economics, the concept means that preferences (for example between

savings, borrowing, consuming) and attitudes (risk attitude...) evolve with the age of people,

as their time horizon (see that phrase) changes.

Applied to saving / investing, this notion shows that people often start too late

to prepare for their old age financial situation (short term bias / narrow framing),

although the opposite attitude might exists too (long bias).

Liquidity

(Flight to) Liquidity

(Il-)liquidity / Liquidity crisis

Liquidity premium

Liquidity squeeze

Liquidity trap

Due to their lengths, those articles

are in a separate page
of this "I-L" glossary section

 

 

(market) Literacy

See culture

 

Lo - Ly


Dates of related message(s) in the
Behavioral-Finance group
(*):

Year/month, d: developed / discussed, i: incidental

Logical fallacy

04/8i + see fallacy, cognitive bias, manipulation

Long bias, longshot bias

03/1d,10d,11i + see persistence, memory,
time horizon

Long bias

The long bias is a preference for expected impressive performance ------ in
the long run, without giving much attention to short term prospects, at the difference of the
short term bias (see time horizon).

Longshot bias

The longshot bias is a market anomaly / deviation that happens when overpricing or
underpricing goes on, or even increases, for months or years due to positive feedback.

It is also a human behavior - as if people "never learn" or at least have a short memory -
to pursue a goal that can be considered already overreached.

It has thus a risk of backfiring,

Long tails

See rare events, extreme

Loss averse, aversion



Due to its length, this article
    is in a separate page

of this "I-L" glossary section

Luck, luck puzzle, luck vs. skill



Due to its length, this article
    is in a separate page

of this "I-L" glossary section

Lyapunov exponent

01/10i + see memory

The Lyapunov exponent measures small but continuous / cumulative trajectory deviations

within supposedly random time-series of events.

Those divergences indicate for example if those events are affected by long memory.

See also Hurst coefficient.

(*) To find those messages: reach that Behavioral-Finance group and, once there,
      1) click "messages", 2) enter your query in "search archives".

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