SlideShare a Scribd company logo
SECTION IV
Behavioural
Finance
CHAPTER 15
Behavioural
Biases
Learning Objective Statements
▪ Explain the difference between cognitive errors and
emotional biases
▪ Recognize the main characteristics between cognitive
errors and information processing errors
▪ Identify the implications of each cognitive or emotional bias
listed in this chapter
3
Cognitive Biases
4
▪ Cognitive biases and their implications for financial decision making.
Cognitive biases are classified into two categories.
▪ The first category contains ―belief perseverance biases.
▪ Belief perseverance in the context of behavioral biases is the tendency
to cling to one’s previously held or recently established beliefs
irrationally or illogically.
▪ Investors continue to hold and justify the belief because of their bias
toward belief in themselves or their own ideals or abilities.
▪ The second category of cognitive error has to do with how people
process information either illogically or irrationally in financial decision
making.
Belief Perseverance Biases
5
CONSERVATISM CONFIRMATION
REPRESENTATIVE
NESS
ILLUSION OF
CONTROL
HINDSIGHT
COGNITIVE
DISSONANCE
Conservatism Bias
6
▪ Conservatism bias is a belief perseverance bias in which people maintain their
prior views or forecasts by inadequately incorporating new information that
arises.
▪ People often fail to modify their beliefs and actions to the extent rationally
justified by the new information.
▪ FMPs may under react to or fail to act on new information and continue to
maintain beliefs close to those based on previous estimates and information.
▪ As a result of conservatism bias, FMPs may do the following:
▪ Maintain or be slow to update a view or a forecast about an investment, even
when presented with new information.
▪ Decide to maintain a prior belief rather than deal with the mental stress of
updating beliefs given complex data. This behavior relates to an underlying
difficulty in processing new information.
Confirmation Bias
7
▪ Confirmation bias is a belief perseverance bias in which people tend to
look for and notice what confirms their beliefs, and to ignore or
undervalue what contradicts their beliefs.
▪ All FMPs(financial market Participants)— whether individual investors,
analysts, investment advisors, or fund managers— may, after making
an investment decision, tend to notice and consider information in a
manner that supports their beliefs.
▪ They may notice and consider only confirmatory information and ignore
or modify contradictory information.
▪ Client may insist on continuing to hold the investment, even when the
advisor recommends otherwise, because the clients follow-up research
seeks only information that confirms his belief that the investment is
still a good value.
Confirmation Bias
8
▪ confirmation bias is exhibited repeatedly. As a result of confirmation
bias, FMPs may do the following:
▪ Generally consider only positive information about an existing or
proposed investment and ignore or discount negative information
about the investment.
▪ Under diversify portfolios, leading to excessive exposure to risk. FMPs
may become convinced of the value of a single company and its stock.
▪ They ignore negative news about the company and its stock, and they
gather and process only information confirming that the company is a
good investment.
▪ They build a large position and eventually own a poorly diversified
portfolio.
Representativeness Bias
9
▪ People tend to classify new information based on past experiences
and classifications. They believe their classifications are appropriate and
place undue weight on them.
▪ This bias occurs because people attempting to derive meaning from
their experiences tend to classify objects and thoughts into
personalized categories.
▪ They rely on a best-fit approximation to determine which category
should provide a frame of reference from which to understand the new
information.
▪ FMPs often overweight new information and small samples because
they view the information or sample as representative of the population
as a whole.
Representativeness Bias
10
▪ FMPs may do the following:
▪ Adopt a view or a forecast based almost exclusively on new
information or a small sample. For example, when evaluating
investment managers, FMPs may place undue emphasis on high
returns during a one-, two-, or three-year period, ignoring the base
probability of such a return occurring.
▪ Update beliefs using simple classifications rather than deal with the
mental stress of updating beliefs given complex data. This issue
relates to an underlying difficulty (cognitive cost) in properly processing
new information.
Illusion of Control Bias
11
▪ Illusion of control bias is a bias in which people tend to believe that they
can control or influence outcomes when, in fact, they cannot.
▪ Expectancy of a personal success probability inappropriately higher than
the objective probability would warrant.
▪ For example, Langer observed that people permitted to select their own
numbers in a hypothetical lottery game were willing to pay a higher price per
ticket than subjects gambling on randomly assigned numbers.
▪ FMPs may do the following:
▪ Trade more than is prudent. Researchers have found that traders, especially
online traders, believe that they have control over the outcomes of their
investments.
▪ Lead investors to inadequately diversify portfolios. Researchers have
found that some investors prefer to invest in companies that they may feel
they have some control over, like the companies they work for, leading them
to hold concentrated positions.
Hindsight Bias
12
▪ Hindsight bias occurs when people see past events as having been
predictable and reasonable to expect. People tend to remember their
own predictions of the future as more accurate than they actually were
because they are biased by the knowledge of what has actually
happened.
▪ FMPs may do the following:
▪ Overestimate the degree to which they predicted an investment
outcome, thus giving them a false sense of confidence. The hindsight
bias may cause FMPs to take on excessive risk, leading to future
investment mistakes.
▪ Cause FMPs to unfairly assess money manager or security
performance. Based on their ability to look back at what has taken place
in securities markets, performance is compared against what has
happened as opposed to what is expected.
Cognitive Dissonance Bias
13
▪ When newly acquired information conflicts with preexisting
understandings, people often experience mental discomfort—a
psychological phenomenon known as cognitive dissonance.
▪ Cognitions, in psychology, represent attitudes, emotions, beliefs, or
values; and cognitive dissonance is a state of imbalance that occurs
when contradictory cognitions intersect.
▪ Cognitive dissonance encompasses the responses that arise when
people struggle to harmonize cognitions and thereby relieve their
mental discomfort.
Cognitive Dissonance Bias
14
▪ FMPs may do the following:
Cognitive dissonance can cause investors to hold losing securities
positions that they otherwise would sell because they want to avoid the
mental pain associated with admitting that they made a bad decision.
▪ Cognitive dissonance can cause investors to continue to invest in a
security that they already own after it has gone down (average down) to
confirm an earlier decision to invest in that security without judging the
new investment with objectivity and rationality.
▪ A common phrase for this concept is throwing good money after bad.
Cognitive Dissonance Bias
15
▪ Cognitive dissonance can cause investors to get caught up in herds of
behavior; that is, people avoid information that counters an earlier
decision (cognitive dissonance).
▪ Cognitive dissonance can cause investors to believe its different this
time.
▪ People who purchased high-flying, hugely overvalued growth stocks in
the late 1990s ignored evidence that there were no excess returns
from purchasing the most expensive stocks available.
▪ In fact, many of the most high-flying companies are now far below their
peaks in price.
Information Processing Biases
16
Anchoring and
Adjustment Bias
Mental
Accounting Bias
Framing Bias Availability Bias
Self-Attribution Outcome Bias Outcome Bias
Emotional
Biases
Loss-Aversion
Bias
Overconfidence
Bias
Self-Control
Bias
Status Quo Bias
Endowment
Bias
Regret-Aversion
Bias
Affinity Bias Status Quo Bias
Anchoring and Adjustment Bias
17
▪ Anchoring and adjustment bias is an information processing bias in
which the use of psychological heuristics influences the way people
estimate probabilities.
▪ Mental Accounting Bias : Mental accounting bias is an information
processing bias in which people treat one sum of money differently
from another equal-sized sum based on which mental account the
money is assigned to.
▪ Framing Bias : Framing bias is an information processing bias in which
a person answers a question differently based on the way in which it is
asked (framed).
▪ The frame that a decision maker adopts is controlled partly by the
formulation of the problem and partly by the norms, habits, and
personal characteristics of the decision maker.
Availability Bias
18
▪ Availability Bias : Availability bias is an information processing bias in which
people take a heuristic (also known as a rule of thumb or a mental shortcut)
approach to estimating the probability of an outcome based on how easily the
outcome comes to mind.
▪ Self-Attribution : Bias Self-attribution bias (or self-serving attribution bias) refers
to the tendency of individuals to ascribe their successes to innate aspects,
such as talent or foresight, while more often blaming failures on outside
influences, such as bad luck.
▪ Outcome Bias : Outcome bias refers to the tendency of individuals to decide to do
something— such as make an investment in a mutual fund—based on the
outcome of past events (such as returns of the past five years) rather than by
observing the process by which the outcome came about (the investment
process used by the mutual fund manager over the past five years).
▪ An investor might think: ―This manager had a fantastic five years, I am going
to invest with her, rather than understanding how such great returns were
generated
Recency Bias
19
▪ Recency Bias : Recency bias is a cognitive predisposition that causes people to
more prominently recall and emphasize recent events and observations than
those that occurred in the near or distant past.
▪ Emotional Biases : Emotional biases can cause investors to make suboptimal
decisions. Because emotions are rarely identified and recorded in the decision
making process—they have to do with how people feel rather than what and
how they think—fewer emotional biases have been identified.
▪ The seven emotional biases discussed are loss aversion, overconfidence, self-
control, status quo, endowment, regret aversion, and affinity.
▪ Loss-Aversion Bias: loss-aversion occurs when people tend to strongly prefer
avoiding losses as opposed to achieving gains. A number of studies suggest
that, psychologically, losses are significantly more powerful than gains.
Emotional Biases
20
▪ Self-Control Bias : Self-control bias is a bias in which people fail to act in
pursuit of their long-term, overarching goals because of a lack of self-
discipline. There is an inherent conflict between short-term satisfaction and
achievement of some long-term goals.
▪ Status Quo Bias : Status quo bias, coined by Samuelson and Zeck hauser, is an
emotional bias in which people do nothing (maintain the status quo) instead
of making a change. People are generally more emotionally comfortable
keeping things the same than they are with change, and thus do not necessarily
look for opportunities where change is beneficial.
▪ Endowment Bias : Endowment bias is an emotional bias in which people value
an asset more when they hold rights to it than when they do not. Endowment
bias is inconsistent with standard economic theory, because the price a person
is willing to pay for a good should equal the price at which that person would be
willing to sell the same good.
Emotional Biases
21
▪ Affinity Bias: Affinity bias refers to an individuals tendency to make
irrationally uneconomical consumer choices or investment decisions based on
how they believe a certain product or service will reflect their values.
▪ This idea focuses on the expressive benefits of a product rather than on what
the product or service actually does for someone (the utilitarian benefits).
▪ Overconfidence Bias: Overconfidence bias is a bias in which people
demonstrate unwarranted faith in their own intuitive reasoning, judgments,
and/or cognitive abilities. This overconfidence may be the result of
overestimating knowledge levels, abilities, and access to information.
Points to be Remember
Belief Perseverance Biases
CONSERVATISM
People often fail to modify
their beliefs and actions to
the extent rationally
justified by the new
information
CONFIRMATION
People tend to look for and
notice what confirms their
beliefs, and to ignore or
undervalue what
contradicts their beliefs.
Points to be Remember
Belief Perseverance Biases
REPRESENTATIVENESS
- Classify new information
based on past experiences
and classifications.
- People attempting to
derive meaning from their
experiences
- often overweight new
information and small
samples
ILLUSION OF CONTROL
- People tend to believe that
they can control or influence
outcomes
- Lead investors to
inadequately diversify
portfolios.
Points to be Remember
Belief Perseverance Biases
HINDSIGHT
- People tend to
remember their own
predictions of the future
as more accurate
- Overestimate the
degree to which they
predicted an investment
outcome, thus giving
them a false sense of
confidence.
COGNITIVE DISSONANCE
- People often experience
mental discomfort - a
psychological phenomenon
known as cognitive
dissonance.
- This concept is throwing
good money after bad.
- Cognitive dissonance can
cause investors to believe
its different this time.
Points to be Remember
Anchoring and
Adjustment Bias
Mental
Accounting Bias
Framing Bias Availability Bias
Self-Attribution Outcome Bias
Emotional
Biases
Loss-Aversion
Bias
Overconfidence
Bias
Self-Control
Bias
Status Quo Bias
Endowment
Bias
Regret-Aversion
Bias
Affinity Bias Status Quo Bias
Points to be Remember
Variance & Co Variance
 Variance refers to the spread of a data set. It’s a
measurement used to identify how far each number in the
data set is from the mean.
 A large variance means that the numbers in a set are far
from the mean and each other.
 A small variance means that the numbers are closer
together in value.
 Covariance is a measure of the relationship between
two random variables. The metric evaluates how much – to
what extent – the variables change together.
 Covariance, we can only gauge the direction of the
relationship (whether the variables tend to move in tandem
or show an inverse relationship).
 Positive covariance: Indicates that two variable tend to
move in the same direction.
 Negative covariance: Reveals that two variables tend to
move in inverse directions.
Thanks

More Related Content

What's hot

Risk Management - CH 4 - Practical Considerations | CMT Level 3 | Chartered M...
Risk Management - CH 4 - Practical Considerations | CMT Level 3 | Chartered M...Risk Management - CH 4 - Practical Considerations | CMT Level 3 | Chartered M...
Risk Management - CH 4 - Practical Considerations | CMT Level 3 | Chartered M...
Professional Training Academy
 
Portfolio Management - CH 12 - Fact, Fiction & Momentum Investing | CMT Level...
Portfolio Management - CH 12 - Fact, Fiction & Momentum Investing | CMT Level...Portfolio Management - CH 12 - Fact, Fiction & Momentum Investing | CMT Level...
Portfolio Management - CH 12 - Fact, Fiction & Momentum Investing | CMT Level...
Professional Training Academy
 
Volatility - CH 22 - Hedging with VIX Derivatives | CMT Level 3 | Chartered M...
Volatility - CH 22 - Hedging with VIX Derivatives | CMT Level 3 | Chartered M...Volatility - CH 22 - Hedging with VIX Derivatives | CMT Level 3 | Chartered M...
Volatility - CH 22 - Hedging with VIX Derivatives | CMT Level 3 | Chartered M...
Professional Training Academy
 
Classical Methods - Chapter 26 - Part I - Japanese Candle Stick Pattern - Bas...
Classical Methods - Chapter 26 - Part I - Japanese Candle Stick Pattern - Bas...Classical Methods - Chapter 26 - Part I - Japanese Candle Stick Pattern - Bas...
Classical Methods - Chapter 26 - Part I - Japanese Candle Stick Pattern - Bas...
Professional Training Academy
 
Classical Methods - CH 24 - Pattern Recognition | CMT Level 3 | Chartered Mar...
Classical Methods - CH 24 - Pattern Recognition | CMT Level 3 | Chartered Mar...Classical Methods - CH 24 - Pattern Recognition | CMT Level 3 | Chartered Mar...
Classical Methods - CH 24 - Pattern Recognition | CMT Level 3 | Chartered Mar...
Professional Training Academy
 
Asset Relationship - CH 10 - Intermarket Indicators | CMT Level 3 | Chartered...
Asset Relationship - CH 10 - Intermarket Indicators | CMT Level 3 | Chartered...Asset Relationship - CH 10 - Intermarket Indicators | CMT Level 3 | Chartered...
Asset Relationship - CH 10 - Intermarket Indicators | CMT Level 3 | Chartered...
Professional Training Academy
 
Risk Management - CH 2 - Money and Portfolio Risk Management | CMT Level 3 | ...
Risk Management - CH 2 - Money and Portfolio Risk Management | CMT Level 3 | ...Risk Management - CH 2 - Money and Portfolio Risk Management | CMT Level 3 | ...
Risk Management - CH 2 - Money and Portfolio Risk Management | CMT Level 3 | ...
Professional Training Academy
 
Risk Management - CH 5 -Risk Control | CMT Level 3 | Chartered Market Technic...
Risk Management - CH 5 -Risk Control | CMT Level 3 | Chartered Market Technic...Risk Management - CH 5 -Risk Control | CMT Level 3 | Chartered Market Technic...
Risk Management - CH 5 -Risk Control | CMT Level 3 | Chartered Market Technic...
Professional Training Academy
 
Risk Management - CH 3 - System Evaluation and Testing | CMT Level 3 | Charte...
Risk Management - CH 3 - System Evaluation and Testing | CMT Level 3 | Charte...Risk Management - CH 3 - System Evaluation and Testing | CMT Level 3 | Charte...
Risk Management - CH 3 - System Evaluation and Testing | CMT Level 3 | Charte...
Professional Training Academy
 
Classical Methods - CH 25 - Multi Time Frames | CMT Level 3 | Chartered Mark...
Classical Methods - CH 25 -  Multi Time Frames | CMT Level 3 | Chartered Mark...Classical Methods - CH 25 -  Multi Time Frames | CMT Level 3 | Chartered Mark...
Classical Methods - CH 25 - Multi Time Frames | CMT Level 3 | Chartered Mark...
Professional Training Academy
 
Asset Relationship - CH 8 - Regression | CMT Level 3 | Chartered Market Techn...
Asset Relationship - CH 8 - Regression | CMT Level 3 | Chartered Market Techn...Asset Relationship - CH 8 - Regression | CMT Level 3 | Chartered Market Techn...
Asset Relationship - CH 8 - Regression | CMT Level 3 | Chartered Market Techn...
Professional Training Academy
 
Behavioural Finance - CHAPTER 20 – Behavioural Techniques | CMT Level 3 | Cha...
Behavioural Finance - CHAPTER 20 – Behavioural Techniques | CMT Level 3 | Cha...Behavioural Finance - CHAPTER 20 – Behavioural Techniques | CMT Level 3 | Cha...
Behavioural Finance - CHAPTER 20 – Behavioural Techniques | CMT Level 3 | Cha...
Professional Training Academy
 
Risk Management- CH 1 - System Design and Testing | CMT Level 3 | Chartered M...
Risk Management- CH 1 - System Design and Testing | CMT Level 3 | Chartered M...Risk Management- CH 1 - System Design and Testing | CMT Level 3 | Chartered M...
Risk Management- CH 1 - System Design and Testing | CMT Level 3 | Chartered M...
Professional Training Academy
 
Classical Methods - Chapter 26 - Part II - Candlestick Main Patterns | CMT ...
Classical Methods - Chapter 26 - Part II -  Candlestick  Main Patterns | CMT ...Classical Methods - Chapter 26 - Part II -  Candlestick  Main Patterns | CMT ...
Classical Methods - Chapter 26 - Part II - Candlestick Main Patterns | CMT ...
Professional Training Academy
 
Asset Relationship - CH 9 - Gold | CMT Level 3 | Chartered Market Technician ...
Asset Relationship - CH 9 - Gold | CMT Level 3 | Chartered Market Technician ...Asset Relationship - CH 9 - Gold | CMT Level 3 | Chartered Market Technician ...
Asset Relationship - CH 9 - Gold | CMT Level 3 | Chartered Market Technician ...
Professional Training Academy
 
Portfolio Management - CH 13 - Analyzing The Macro Finance Environment | CMT ...
Portfolio Management - CH 13 - Analyzing The Macro Finance Environment | CMT ...Portfolio Management - CH 13 - Analyzing The Macro Finance Environment | CMT ...
Portfolio Management - CH 13 - Analyzing The Macro Finance Environment | CMT ...
Professional Training Academy
 
Classical Methods - Chapter 26 - Part III - Japanese Candle Stick - Advance ...
Classical Methods - Chapter 26 - Part III - Japanese Candle Stick  - Advance ...Classical Methods - Chapter 26 - Part III - Japanese Candle Stick  - Advance ...
Classical Methods - Chapter 26 - Part III - Japanese Candle Stick - Advance ...
Professional Training Academy
 
Classical Methods - Chapter 27 - Progressive Charting | CMT Level 3 | Charter...
Classical Methods - Chapter 27 - Progressive Charting | CMT Level 3 | Charter...Classical Methods - Chapter 27 - Progressive Charting | CMT Level 3 | Charter...
Classical Methods - Chapter 27 - Progressive Charting | CMT Level 3 | Charter...
Professional Training Academy
 
Classical Methods - Chapter 29 - Conclusion | CMT Level 3 | Chartered Market ...
Classical Methods - Chapter 29 - Conclusion | CMT Level 3 | Chartered Market ...Classical Methods - Chapter 29 - Conclusion | CMT Level 3 | Chartered Market ...
Classical Methods - Chapter 29 - Conclusion | CMT Level 3 | Chartered Market ...
Professional Training Academy
 
Section I - CH 4 - Practical Considerations.pdf
Section I - CH 4 - Practical Considerations.pdfSection I - CH 4 - Practical Considerations.pdf
Section I - CH 4 - Practical Considerations.pdf
Professional Training Academy
 

What's hot (20)

Risk Management - CH 4 - Practical Considerations | CMT Level 3 | Chartered M...
Risk Management - CH 4 - Practical Considerations | CMT Level 3 | Chartered M...Risk Management - CH 4 - Practical Considerations | CMT Level 3 | Chartered M...
Risk Management - CH 4 - Practical Considerations | CMT Level 3 | Chartered M...
 
Portfolio Management - CH 12 - Fact, Fiction & Momentum Investing | CMT Level...
Portfolio Management - CH 12 - Fact, Fiction & Momentum Investing | CMT Level...Portfolio Management - CH 12 - Fact, Fiction & Momentum Investing | CMT Level...
Portfolio Management - CH 12 - Fact, Fiction & Momentum Investing | CMT Level...
 
Volatility - CH 22 - Hedging with VIX Derivatives | CMT Level 3 | Chartered M...
Volatility - CH 22 - Hedging with VIX Derivatives | CMT Level 3 | Chartered M...Volatility - CH 22 - Hedging with VIX Derivatives | CMT Level 3 | Chartered M...
Volatility - CH 22 - Hedging with VIX Derivatives | CMT Level 3 | Chartered M...
 
Classical Methods - Chapter 26 - Part I - Japanese Candle Stick Pattern - Bas...
Classical Methods - Chapter 26 - Part I - Japanese Candle Stick Pattern - Bas...Classical Methods - Chapter 26 - Part I - Japanese Candle Stick Pattern - Bas...
Classical Methods - Chapter 26 - Part I - Japanese Candle Stick Pattern - Bas...
 
Classical Methods - CH 24 - Pattern Recognition | CMT Level 3 | Chartered Mar...
Classical Methods - CH 24 - Pattern Recognition | CMT Level 3 | Chartered Mar...Classical Methods - CH 24 - Pattern Recognition | CMT Level 3 | Chartered Mar...
Classical Methods - CH 24 - Pattern Recognition | CMT Level 3 | Chartered Mar...
 
Asset Relationship - CH 10 - Intermarket Indicators | CMT Level 3 | Chartered...
Asset Relationship - CH 10 - Intermarket Indicators | CMT Level 3 | Chartered...Asset Relationship - CH 10 - Intermarket Indicators | CMT Level 3 | Chartered...
Asset Relationship - CH 10 - Intermarket Indicators | CMT Level 3 | Chartered...
 
Risk Management - CH 2 - Money and Portfolio Risk Management | CMT Level 3 | ...
Risk Management - CH 2 - Money and Portfolio Risk Management | CMT Level 3 | ...Risk Management - CH 2 - Money and Portfolio Risk Management | CMT Level 3 | ...
Risk Management - CH 2 - Money and Portfolio Risk Management | CMT Level 3 | ...
 
Risk Management - CH 5 -Risk Control | CMT Level 3 | Chartered Market Technic...
Risk Management - CH 5 -Risk Control | CMT Level 3 | Chartered Market Technic...Risk Management - CH 5 -Risk Control | CMT Level 3 | Chartered Market Technic...
Risk Management - CH 5 -Risk Control | CMT Level 3 | Chartered Market Technic...
 
Risk Management - CH 3 - System Evaluation and Testing | CMT Level 3 | Charte...
Risk Management - CH 3 - System Evaluation and Testing | CMT Level 3 | Charte...Risk Management - CH 3 - System Evaluation and Testing | CMT Level 3 | Charte...
Risk Management - CH 3 - System Evaluation and Testing | CMT Level 3 | Charte...
 
Classical Methods - CH 25 - Multi Time Frames | CMT Level 3 | Chartered Mark...
Classical Methods - CH 25 -  Multi Time Frames | CMT Level 3 | Chartered Mark...Classical Methods - CH 25 -  Multi Time Frames | CMT Level 3 | Chartered Mark...
Classical Methods - CH 25 - Multi Time Frames | CMT Level 3 | Chartered Mark...
 
Asset Relationship - CH 8 - Regression | CMT Level 3 | Chartered Market Techn...
Asset Relationship - CH 8 - Regression | CMT Level 3 | Chartered Market Techn...Asset Relationship - CH 8 - Regression | CMT Level 3 | Chartered Market Techn...
Asset Relationship - CH 8 - Regression | CMT Level 3 | Chartered Market Techn...
 
Behavioural Finance - CHAPTER 20 – Behavioural Techniques | CMT Level 3 | Cha...
Behavioural Finance - CHAPTER 20 – Behavioural Techniques | CMT Level 3 | Cha...Behavioural Finance - CHAPTER 20 – Behavioural Techniques | CMT Level 3 | Cha...
Behavioural Finance - CHAPTER 20 – Behavioural Techniques | CMT Level 3 | Cha...
 
Risk Management- CH 1 - System Design and Testing | CMT Level 3 | Chartered M...
Risk Management- CH 1 - System Design and Testing | CMT Level 3 | Chartered M...Risk Management- CH 1 - System Design and Testing | CMT Level 3 | Chartered M...
Risk Management- CH 1 - System Design and Testing | CMT Level 3 | Chartered M...
 
Classical Methods - Chapter 26 - Part II - Candlestick Main Patterns | CMT ...
Classical Methods - Chapter 26 - Part II -  Candlestick  Main Patterns | CMT ...Classical Methods - Chapter 26 - Part II -  Candlestick  Main Patterns | CMT ...
Classical Methods - Chapter 26 - Part II - Candlestick Main Patterns | CMT ...
 
Asset Relationship - CH 9 - Gold | CMT Level 3 | Chartered Market Technician ...
Asset Relationship - CH 9 - Gold | CMT Level 3 | Chartered Market Technician ...Asset Relationship - CH 9 - Gold | CMT Level 3 | Chartered Market Technician ...
Asset Relationship - CH 9 - Gold | CMT Level 3 | Chartered Market Technician ...
 
Portfolio Management - CH 13 - Analyzing The Macro Finance Environment | CMT ...
Portfolio Management - CH 13 - Analyzing The Macro Finance Environment | CMT ...Portfolio Management - CH 13 - Analyzing The Macro Finance Environment | CMT ...
Portfolio Management - CH 13 - Analyzing The Macro Finance Environment | CMT ...
 
Classical Methods - Chapter 26 - Part III - Japanese Candle Stick - Advance ...
Classical Methods - Chapter 26 - Part III - Japanese Candle Stick  - Advance ...Classical Methods - Chapter 26 - Part III - Japanese Candle Stick  - Advance ...
Classical Methods - Chapter 26 - Part III - Japanese Candle Stick - Advance ...
 
Classical Methods - Chapter 27 - Progressive Charting | CMT Level 3 | Charter...
Classical Methods - Chapter 27 - Progressive Charting | CMT Level 3 | Charter...Classical Methods - Chapter 27 - Progressive Charting | CMT Level 3 | Charter...
Classical Methods - Chapter 27 - Progressive Charting | CMT Level 3 | Charter...
 
Classical Methods - Chapter 29 - Conclusion | CMT Level 3 | Chartered Market ...
Classical Methods - Chapter 29 - Conclusion | CMT Level 3 | Chartered Market ...Classical Methods - Chapter 29 - Conclusion | CMT Level 3 | Chartered Market ...
Classical Methods - Chapter 29 - Conclusion | CMT Level 3 | Chartered Market ...
 
Section I - CH 4 - Practical Considerations.pdf
Section I - CH 4 - Practical Considerations.pdfSection I - CH 4 - Practical Considerations.pdf
Section I - CH 4 - Practical Considerations.pdf
 

Similar to Behavioural Finance - CHAPTER 15 – Behavioural Biases | CMT Level 3 | Chartered Market Technician | Professional Training Academy

Understanding and managing bias in investment clients
Understanding and managing bias in investment clientsUnderstanding and managing bias in investment clients
Understanding and managing bias in investment clients
Fortuna Favi et Fortus Ltd.
 
Representativeness Bias.pptx
Representativeness Bias.pptxRepresentativeness Bias.pptx
Representativeness Bias.pptx
Financemathsolution
 
Baises of investor final
Baises of investor finalBaises of investor final
Baises of investor final
Saeed Ahamad
 
Baises of investor final
Baises of investor finalBaises of investor final
Baises of investor final
Saeed Ahamad
 
Understanding how the mind can help or hinder investment success
Understanding how the mind can help or hinder investment successUnderstanding how the mind can help or hinder investment success
Understanding how the mind can help or hinder investment success
Ravi Abeysuriya
 
Seven Emotional Biases Financial Advisors Need to Know
Seven Emotional Biases Financial Advisors Need to KnowSeven Emotional Biases Financial Advisors Need to Know
Seven Emotional Biases Financial Advisors Need to Know
Finworx
 
Behavioural biases
Behavioural biasesBehavioural biases
Behavioural biases
sushilajaglan
 
How Biases Affect Investor Behaviour
How Biases Affect Investor BehaviourHow Biases Affect Investor Behaviour
How Biases Affect Investor Behaviour
Trading Game Pty Ltd
 
Learning session 2nd
Learning session 2ndLearning session 2nd
Learning session 2nd
gauravsharmamba
 
The financial advisor
The financial advisorThe financial advisor
The financial advisor
Fortuna Favi et Fortus Ltd.
 
FS_Advice_-_Leverage-_Where_Advisers_Fear_to_Tread_-_Julie_Mckay
FS_Advice_-_Leverage-_Where_Advisers_Fear_to_Tread_-_Julie_MckayFS_Advice_-_Leverage-_Where_Advisers_Fear_to_Tread_-_Julie_Mckay
FS_Advice_-_Leverage-_Where_Advisers_Fear_to_Tread_-_Julie_Mckay
Claire Starr MBA
 
The investment management process
The investment management processThe investment management process
The investment management process
Olufemi Feyisitan
 
Behavioral Finance.pptx
Behavioral Finance.pptxBehavioral Finance.pptx
Behavioral Finance.pptx
RizwanIsmail5
 
The Traits of a Good Investor
The Traits of a Good InvestorThe Traits of a Good Investor
The Traits of a Good Investor
Dolf Dunn
 
Bfm newsletter Challenges in Financial Advising From the Scope of Behavioral ...
Bfm newsletter Challenges in Financial Advising From the Scope of Behavioral ...Bfm newsletter Challenges in Financial Advising From the Scope of Behavioral ...
Bfm newsletter Challenges in Financial Advising From the Scope of Behavioral ...
Bourbon Financial Management, LLC
 
Capital biasReducing human error in capital decision-making
Capital biasReducing human error in capital decision-makingCapital biasReducing human error in capital decision-making
Capital biasReducing human error in capital decision-making
TawnaDelatorrejs
 
Capital bias reducing human error in capital decision making
Capital bias reducing human error in capital decision makingCapital bias reducing human error in capital decision making
Capital bias reducing human error in capital decision making
sodhi3
 
The Financial Advisor.pptx
The Financial Advisor.pptxThe Financial Advisor.pptx
The Financial Advisor.pptx
Olufemi Feyisitan
 
Key Principles of Behavioural Finance
Key Principles of Behavioural FinanceKey Principles of Behavioural Finance
Key Principles of Behavioural Finance
Jawwad Siddiqui
 
Behavioral Aspects of Finance
Behavioral Aspects of Finance Behavioral Aspects of Finance
Behavioral Aspects of Finance
Muhammad Asad
 

Similar to Behavioural Finance - CHAPTER 15 – Behavioural Biases | CMT Level 3 | Chartered Market Technician | Professional Training Academy (20)

Understanding and managing bias in investment clients
Understanding and managing bias in investment clientsUnderstanding and managing bias in investment clients
Understanding and managing bias in investment clients
 
Representativeness Bias.pptx
Representativeness Bias.pptxRepresentativeness Bias.pptx
Representativeness Bias.pptx
 
Baises of investor final
Baises of investor finalBaises of investor final
Baises of investor final
 
Baises of investor final
Baises of investor finalBaises of investor final
Baises of investor final
 
Understanding how the mind can help or hinder investment success
Understanding how the mind can help or hinder investment successUnderstanding how the mind can help or hinder investment success
Understanding how the mind can help or hinder investment success
 
Seven Emotional Biases Financial Advisors Need to Know
Seven Emotional Biases Financial Advisors Need to KnowSeven Emotional Biases Financial Advisors Need to Know
Seven Emotional Biases Financial Advisors Need to Know
 
Behavioural biases
Behavioural biasesBehavioural biases
Behavioural biases
 
How Biases Affect Investor Behaviour
How Biases Affect Investor BehaviourHow Biases Affect Investor Behaviour
How Biases Affect Investor Behaviour
 
Learning session 2nd
Learning session 2ndLearning session 2nd
Learning session 2nd
 
The financial advisor
The financial advisorThe financial advisor
The financial advisor
 
FS_Advice_-_Leverage-_Where_Advisers_Fear_to_Tread_-_Julie_Mckay
FS_Advice_-_Leverage-_Where_Advisers_Fear_to_Tread_-_Julie_MckayFS_Advice_-_Leverage-_Where_Advisers_Fear_to_Tread_-_Julie_Mckay
FS_Advice_-_Leverage-_Where_Advisers_Fear_to_Tread_-_Julie_Mckay
 
The investment management process
The investment management processThe investment management process
The investment management process
 
Behavioral Finance.pptx
Behavioral Finance.pptxBehavioral Finance.pptx
Behavioral Finance.pptx
 
The Traits of a Good Investor
The Traits of a Good InvestorThe Traits of a Good Investor
The Traits of a Good Investor
 
Bfm newsletter Challenges in Financial Advising From the Scope of Behavioral ...
Bfm newsletter Challenges in Financial Advising From the Scope of Behavioral ...Bfm newsletter Challenges in Financial Advising From the Scope of Behavioral ...
Bfm newsletter Challenges in Financial Advising From the Scope of Behavioral ...
 
Capital biasReducing human error in capital decision-making
Capital biasReducing human error in capital decision-makingCapital biasReducing human error in capital decision-making
Capital biasReducing human error in capital decision-making
 
Capital bias reducing human error in capital decision making
Capital bias reducing human error in capital decision makingCapital bias reducing human error in capital decision making
Capital bias reducing human error in capital decision making
 
The Financial Advisor.pptx
The Financial Advisor.pptxThe Financial Advisor.pptx
The Financial Advisor.pptx
 
Key Principles of Behavioural Finance
Key Principles of Behavioural FinanceKey Principles of Behavioural Finance
Key Principles of Behavioural Finance
 
Behavioral Aspects of Finance
Behavioral Aspects of Finance Behavioral Aspects of Finance
Behavioral Aspects of Finance
 

More from Professional Training Academy

Chapter D - Knowledge Domains and Weightings
Chapter D - Knowledge Domains and WeightingsChapter D - Knowledge Domains and Weightings
Chapter D - Knowledge Domains and Weightings
Professional Training Academy
 
Lecture F - Standard VI Conflicts of Interest
Lecture F - Standard VI Conflicts of InterestLecture F - Standard VI Conflicts of Interest
Lecture F - Standard VI Conflicts of Interest
Professional Training Academy
 
Lecture E - Standard V Investment Analysis, Recommendations, and Actions
Lecture E - Standard V Investment Analysis, Recommendations, and ActionsLecture E - Standard V Investment Analysis, Recommendations, and Actions
Lecture E - Standard V Investment Analysis, Recommendations, and Actions
Professional Training Academy
 
Lecture D - Standard IV Duties to Employers
Lecture D - Standard IV Duties to EmployersLecture D - Standard IV Duties to Employers
Lecture D - Standard IV Duties to Employers
Professional Training Academy
 
Lecture C - Standard III Duties to Clients
Lecture C - Standard III Duties to ClientsLecture C - Standard III Duties to Clients
Lecture C - Standard III Duties to Clients
Professional Training Academy
 
Lecture B - Standard II Integrity of Capital Markets
Lecture B - Standard II Integrity of Capital MarketsLecture B - Standard II Integrity of Capital Markets
Lecture B - Standard II Integrity of Capital Markets
Professional Training Academy
 
Lecture A - Standard I Professionalism
Lecture A - Standard I ProfessionalismLecture A - Standard I Professionalism
Lecture A - Standard I Professionalism
Professional Training Academy
 
SECTION VII - CHAPTER 44 - Relative Strength Concept
SECTION VII - CHAPTER 44 -  Relative Strength ConceptSECTION VII - CHAPTER 44 -  Relative Strength Concept
SECTION VII - CHAPTER 44 - Relative Strength Concept
Professional Training Academy
 
SECTION VII - CHAPTER 43 - Model Building Process
SECTION VII - CHAPTER 43 - Model Building ProcessSECTION VII - CHAPTER 43 - Model Building Process
SECTION VII - CHAPTER 43 - Model Building Process
Professional Training Academy
 
SECTION VII - CHAPTER 42 - Being Right or making money
SECTION VII - CHAPTER 42 - Being Right or making moneySECTION VII - CHAPTER 42 - Being Right or making money
SECTION VII - CHAPTER 42 - Being Right or making money
Professional Training Academy
 
SECTION VII - CHAPTER 41 - Objective Rules & Evaluation
SECTION VII - CHAPTER 41 - Objective Rules & EvaluationSECTION VII - CHAPTER 41 - Objective Rules & Evaluation
SECTION VII - CHAPTER 41 - Objective Rules & Evaluation
Professional Training Academy
 
SECTION VI - CHAPTER 40 - Concept of Probablity
SECTION VI - CHAPTER 40 - Concept of ProbablitySECTION VI - CHAPTER 40 - Concept of Probablity
SECTION VI - CHAPTER 40 - Concept of Probablity
Professional Training Academy
 
SECTION VI - CHAPTER 39 - Descriptive Statistics basics
SECTION VI - CHAPTER 39 - Descriptive Statistics basicsSECTION VI - CHAPTER 39 - Descriptive Statistics basics
SECTION VI - CHAPTER 39 - Descriptive Statistics basics
Professional Training Academy
 
SECTION V- CHAPTER 38 - Sentiment Measures from External Data
SECTION V- CHAPTER 38  - Sentiment Measures from External  DataSECTION V- CHAPTER 38  - Sentiment Measures from External  Data
SECTION V- CHAPTER 38 - Sentiment Measures from External Data
Professional Training Academy
 
SECTION V - CHAPTER 37 - Sentiment Measures from Market Data
SECTION V - CHAPTER 37 - Sentiment Measures from Market DataSECTION V - CHAPTER 37 - Sentiment Measures from Market Data
SECTION V - CHAPTER 37 - Sentiment Measures from Market Data
Professional Training Academy
 
SECTION V - CHAPTER 36 - Market Sentiment & Technical Analysis
SECTION V - CHAPTER 36 - Market Sentiment & Technical AnalysisSECTION V - CHAPTER 36 - Market Sentiment & Technical Analysis
SECTION V - CHAPTER 36 - Market Sentiment & Technical Analysis
Professional Training Academy
 
SECTION V - CHAPTER 35 - Academic Approaches to Technical Analysis
SECTION V - CHAPTER 35 - Academic Approaches to Technical AnalysisSECTION V - CHAPTER 35 - Academic Approaches to Technical Analysis
SECTION V - CHAPTER 35 - Academic Approaches to Technical Analysis
Professional Training Academy
 
SECTION V - CHAPTER 34 - Noise Traders as technical Traders.pdf
SECTION V - CHAPTER 34 - Noise Traders as technical Traders.pdfSECTION V - CHAPTER 34 - Noise Traders as technical Traders.pdf
SECTION V - CHAPTER 34 - Noise Traders as technical Traders.pdf
Professional Training Academy
 
SECTION V - CHAPTER 33 - Noise Traders & Law of One Price
SECTION V - CHAPTER 33 - Noise Traders & Law of One PriceSECTION V - CHAPTER 33 - Noise Traders & Law of One Price
SECTION V - CHAPTER 33 - Noise Traders & Law of One Price
Professional Training Academy
 
SECTION V - CHAPTER 32 - Forerunners to Behavioural Finance.pdf
SECTION V - CHAPTER 32 - Forerunners to Behavioural Finance.pdfSECTION V - CHAPTER 32 - Forerunners to Behavioural Finance.pdf
SECTION V - CHAPTER 32 - Forerunners to Behavioural Finance.pdf
Professional Training Academy
 

More from Professional Training Academy (20)

Chapter D - Knowledge Domains and Weightings
Chapter D - Knowledge Domains and WeightingsChapter D - Knowledge Domains and Weightings
Chapter D - Knowledge Domains and Weightings
 
Lecture F - Standard VI Conflicts of Interest
Lecture F - Standard VI Conflicts of InterestLecture F - Standard VI Conflicts of Interest
Lecture F - Standard VI Conflicts of Interest
 
Lecture E - Standard V Investment Analysis, Recommendations, and Actions
Lecture E - Standard V Investment Analysis, Recommendations, and ActionsLecture E - Standard V Investment Analysis, Recommendations, and Actions
Lecture E - Standard V Investment Analysis, Recommendations, and Actions
 
Lecture D - Standard IV Duties to Employers
Lecture D - Standard IV Duties to EmployersLecture D - Standard IV Duties to Employers
Lecture D - Standard IV Duties to Employers
 
Lecture C - Standard III Duties to Clients
Lecture C - Standard III Duties to ClientsLecture C - Standard III Duties to Clients
Lecture C - Standard III Duties to Clients
 
Lecture B - Standard II Integrity of Capital Markets
Lecture B - Standard II Integrity of Capital MarketsLecture B - Standard II Integrity of Capital Markets
Lecture B - Standard II Integrity of Capital Markets
 
Lecture A - Standard I Professionalism
Lecture A - Standard I ProfessionalismLecture A - Standard I Professionalism
Lecture A - Standard I Professionalism
 
SECTION VII - CHAPTER 44 - Relative Strength Concept
SECTION VII - CHAPTER 44 -  Relative Strength ConceptSECTION VII - CHAPTER 44 -  Relative Strength Concept
SECTION VII - CHAPTER 44 - Relative Strength Concept
 
SECTION VII - CHAPTER 43 - Model Building Process
SECTION VII - CHAPTER 43 - Model Building ProcessSECTION VII - CHAPTER 43 - Model Building Process
SECTION VII - CHAPTER 43 - Model Building Process
 
SECTION VII - CHAPTER 42 - Being Right or making money
SECTION VII - CHAPTER 42 - Being Right or making moneySECTION VII - CHAPTER 42 - Being Right or making money
SECTION VII - CHAPTER 42 - Being Right or making money
 
SECTION VII - CHAPTER 41 - Objective Rules & Evaluation
SECTION VII - CHAPTER 41 - Objective Rules & EvaluationSECTION VII - CHAPTER 41 - Objective Rules & Evaluation
SECTION VII - CHAPTER 41 - Objective Rules & Evaluation
 
SECTION VI - CHAPTER 40 - Concept of Probablity
SECTION VI - CHAPTER 40 - Concept of ProbablitySECTION VI - CHAPTER 40 - Concept of Probablity
SECTION VI - CHAPTER 40 - Concept of Probablity
 
SECTION VI - CHAPTER 39 - Descriptive Statistics basics
SECTION VI - CHAPTER 39 - Descriptive Statistics basicsSECTION VI - CHAPTER 39 - Descriptive Statistics basics
SECTION VI - CHAPTER 39 - Descriptive Statistics basics
 
SECTION V- CHAPTER 38 - Sentiment Measures from External Data
SECTION V- CHAPTER 38  - Sentiment Measures from External  DataSECTION V- CHAPTER 38  - Sentiment Measures from External  Data
SECTION V- CHAPTER 38 - Sentiment Measures from External Data
 
SECTION V - CHAPTER 37 - Sentiment Measures from Market Data
SECTION V - CHAPTER 37 - Sentiment Measures from Market DataSECTION V - CHAPTER 37 - Sentiment Measures from Market Data
SECTION V - CHAPTER 37 - Sentiment Measures from Market Data
 
SECTION V - CHAPTER 36 - Market Sentiment & Technical Analysis
SECTION V - CHAPTER 36 - Market Sentiment & Technical AnalysisSECTION V - CHAPTER 36 - Market Sentiment & Technical Analysis
SECTION V - CHAPTER 36 - Market Sentiment & Technical Analysis
 
SECTION V - CHAPTER 35 - Academic Approaches to Technical Analysis
SECTION V - CHAPTER 35 - Academic Approaches to Technical AnalysisSECTION V - CHAPTER 35 - Academic Approaches to Technical Analysis
SECTION V - CHAPTER 35 - Academic Approaches to Technical Analysis
 
SECTION V - CHAPTER 34 - Noise Traders as technical Traders.pdf
SECTION V - CHAPTER 34 - Noise Traders as technical Traders.pdfSECTION V - CHAPTER 34 - Noise Traders as technical Traders.pdf
SECTION V - CHAPTER 34 - Noise Traders as technical Traders.pdf
 
SECTION V - CHAPTER 33 - Noise Traders & Law of One Price
SECTION V - CHAPTER 33 - Noise Traders & Law of One PriceSECTION V - CHAPTER 33 - Noise Traders & Law of One Price
SECTION V - CHAPTER 33 - Noise Traders & Law of One Price
 
SECTION V - CHAPTER 32 - Forerunners to Behavioural Finance.pdf
SECTION V - CHAPTER 32 - Forerunners to Behavioural Finance.pdfSECTION V - CHAPTER 32 - Forerunners to Behavioural Finance.pdf
SECTION V - CHAPTER 32 - Forerunners to Behavioural Finance.pdf
 

Recently uploaded

Accounting for Restricted Grants When and How To Record Properly
Accounting for Restricted Grants  When and How To Record ProperlyAccounting for Restricted Grants  When and How To Record Properly
Accounting for Restricted Grants When and How To Record Properly
TechSoup
 
The basics of sentences session 7pptx.pptx
The basics of sentences session 7pptx.pptxThe basics of sentences session 7pptx.pptx
The basics of sentences session 7pptx.pptx
heathfieldcps1
 
Ch-4 Forest Society and colonialism 2.pdf
Ch-4 Forest Society and colonialism 2.pdfCh-4 Forest Society and colonialism 2.pdf
Ch-4 Forest Society and colonialism 2.pdf
lakshayrojroj
 
Standardized tool for Intelligence test.
Standardized tool for Intelligence test.Standardized tool for Intelligence test.
Standardized tool for Intelligence test.
deepaannamalai16
 
Educational Technology in the Health Sciences
Educational Technology in the Health SciencesEducational Technology in the Health Sciences
Educational Technology in the Health Sciences
Iris Thiele Isip-Tan
 
220711130097 Tulip Samanta Concept of Information and Communication Technology
220711130097 Tulip Samanta Concept of Information and Communication Technology220711130097 Tulip Samanta Concept of Information and Communication Technology
220711130097 Tulip Samanta Concept of Information and Communication Technology
Kalna College
 
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
EduSkills OECD
 
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
Payaamvohra1
 
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
TechSoup
 
Gender and Mental Health - Counselling and Family Therapy Applications and In...
Gender and Mental Health - Counselling and Family Therapy Applications and In...Gender and Mental Health - Counselling and Family Therapy Applications and In...
Gender and Mental Health - Counselling and Family Therapy Applications and In...
PsychoTech Services
 
A Visual Guide to 1 Samuel | A Tale of Two Hearts
A Visual Guide to 1 Samuel | A Tale of Two HeartsA Visual Guide to 1 Samuel | A Tale of Two Hearts
A Visual Guide to 1 Samuel | A Tale of Two Hearts
Steve Thomason
 
Observational Learning
Observational Learning Observational Learning
Observational Learning
sanamushtaq922
 
BPSC-105 important questions for june term end exam
BPSC-105 important questions for june term end examBPSC-105 important questions for june term end exam
BPSC-105 important questions for june term end exam
sonukumargpnirsadhan
 
How to Fix [Errno 98] address already in use
How to Fix [Errno 98] address already in useHow to Fix [Errno 98] address already in use
How to Fix [Errno 98] address already in use
Celine George
 
CapTechTalks Webinar Slides June 2024 Donovan Wright.pptx
CapTechTalks Webinar Slides June 2024 Donovan Wright.pptxCapTechTalks Webinar Slides June 2024 Donovan Wright.pptx
CapTechTalks Webinar Slides June 2024 Donovan Wright.pptx
CapitolTechU
 
How to Setup Default Value for a Field in Odoo 17
How to Setup Default Value for a Field in Odoo 17How to Setup Default Value for a Field in Odoo 17
How to Setup Default Value for a Field in Odoo 17
Celine George
 
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
ImMuslim
 
Haunted Houses by H W Longfellow for class 10
Haunted Houses by H W Longfellow for class 10Haunted Houses by H W Longfellow for class 10
Haunted Houses by H W Longfellow for class 10
nitinpv4ai
 
Skimbleshanks-The-Railway-Cat by T S Eliot
Skimbleshanks-The-Railway-Cat by T S EliotSkimbleshanks-The-Railway-Cat by T S Eliot
Skimbleshanks-The-Railway-Cat by T S Eliot
nitinpv4ai
 
HYPERTENSION - SLIDE SHARE PRESENTATION.
HYPERTENSION - SLIDE SHARE PRESENTATION.HYPERTENSION - SLIDE SHARE PRESENTATION.
HYPERTENSION - SLIDE SHARE PRESENTATION.
deepaannamalai16
 

Recently uploaded (20)

Accounting for Restricted Grants When and How To Record Properly
Accounting for Restricted Grants  When and How To Record ProperlyAccounting for Restricted Grants  When and How To Record Properly
Accounting for Restricted Grants When and How To Record Properly
 
The basics of sentences session 7pptx.pptx
The basics of sentences session 7pptx.pptxThe basics of sentences session 7pptx.pptx
The basics of sentences session 7pptx.pptx
 
Ch-4 Forest Society and colonialism 2.pdf
Ch-4 Forest Society and colonialism 2.pdfCh-4 Forest Society and colonialism 2.pdf
Ch-4 Forest Society and colonialism 2.pdf
 
Standardized tool for Intelligence test.
Standardized tool for Intelligence test.Standardized tool for Intelligence test.
Standardized tool for Intelligence test.
 
Educational Technology in the Health Sciences
Educational Technology in the Health SciencesEducational Technology in the Health Sciences
Educational Technology in the Health Sciences
 
220711130097 Tulip Samanta Concept of Information and Communication Technology
220711130097 Tulip Samanta Concept of Information and Communication Technology220711130097 Tulip Samanta Concept of Information and Communication Technology
220711130097 Tulip Samanta Concept of Information and Communication Technology
 
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
 
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
NIPER 2024 MEMORY BASED QUESTIONS.ANSWERS TO NIPER 2024 QUESTIONS.NIPER JEE 2...
 
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...
 
Gender and Mental Health - Counselling and Family Therapy Applications and In...
Gender and Mental Health - Counselling and Family Therapy Applications and In...Gender and Mental Health - Counselling and Family Therapy Applications and In...
Gender and Mental Health - Counselling and Family Therapy Applications and In...
 
A Visual Guide to 1 Samuel | A Tale of Two Hearts
A Visual Guide to 1 Samuel | A Tale of Two HeartsA Visual Guide to 1 Samuel | A Tale of Two Hearts
A Visual Guide to 1 Samuel | A Tale of Two Hearts
 
Observational Learning
Observational Learning Observational Learning
Observational Learning
 
BPSC-105 important questions for june term end exam
BPSC-105 important questions for june term end examBPSC-105 important questions for june term end exam
BPSC-105 important questions for june term end exam
 
How to Fix [Errno 98] address already in use
How to Fix [Errno 98] address already in useHow to Fix [Errno 98] address already in use
How to Fix [Errno 98] address already in use
 
CapTechTalks Webinar Slides June 2024 Donovan Wright.pptx
CapTechTalks Webinar Slides June 2024 Donovan Wright.pptxCapTechTalks Webinar Slides June 2024 Donovan Wright.pptx
CapTechTalks Webinar Slides June 2024 Donovan Wright.pptx
 
How to Setup Default Value for a Field in Odoo 17
How to Setup Default Value for a Field in Odoo 17How to Setup Default Value for a Field in Odoo 17
How to Setup Default Value for a Field in Odoo 17
 
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
 
Haunted Houses by H W Longfellow for class 10
Haunted Houses by H W Longfellow for class 10Haunted Houses by H W Longfellow for class 10
Haunted Houses by H W Longfellow for class 10
 
Skimbleshanks-The-Railway-Cat by T S Eliot
Skimbleshanks-The-Railway-Cat by T S EliotSkimbleshanks-The-Railway-Cat by T S Eliot
Skimbleshanks-The-Railway-Cat by T S Eliot
 
HYPERTENSION - SLIDE SHARE PRESENTATION.
HYPERTENSION - SLIDE SHARE PRESENTATION.HYPERTENSION - SLIDE SHARE PRESENTATION.
HYPERTENSION - SLIDE SHARE PRESENTATION.
 

Behavioural Finance - CHAPTER 15 – Behavioural Biases | CMT Level 3 | Chartered Market Technician | Professional Training Academy

  • 3. Learning Objective Statements ▪ Explain the difference between cognitive errors and emotional biases ▪ Recognize the main characteristics between cognitive errors and information processing errors ▪ Identify the implications of each cognitive or emotional bias listed in this chapter 3
  • 4. Cognitive Biases 4 ▪ Cognitive biases and their implications for financial decision making. Cognitive biases are classified into two categories. ▪ The first category contains ―belief perseverance biases. ▪ Belief perseverance in the context of behavioral biases is the tendency to cling to one’s previously held or recently established beliefs irrationally or illogically. ▪ Investors continue to hold and justify the belief because of their bias toward belief in themselves or their own ideals or abilities. ▪ The second category of cognitive error has to do with how people process information either illogically or irrationally in financial decision making.
  • 5. Belief Perseverance Biases 5 CONSERVATISM CONFIRMATION REPRESENTATIVE NESS ILLUSION OF CONTROL HINDSIGHT COGNITIVE DISSONANCE
  • 6. Conservatism Bias 6 ▪ Conservatism bias is a belief perseverance bias in which people maintain their prior views or forecasts by inadequately incorporating new information that arises. ▪ People often fail to modify their beliefs and actions to the extent rationally justified by the new information. ▪ FMPs may under react to or fail to act on new information and continue to maintain beliefs close to those based on previous estimates and information. ▪ As a result of conservatism bias, FMPs may do the following: ▪ Maintain or be slow to update a view or a forecast about an investment, even when presented with new information. ▪ Decide to maintain a prior belief rather than deal with the mental stress of updating beliefs given complex data. This behavior relates to an underlying difficulty in processing new information.
  • 7. Confirmation Bias 7 ▪ Confirmation bias is a belief perseverance bias in which people tend to look for and notice what confirms their beliefs, and to ignore or undervalue what contradicts their beliefs. ▪ All FMPs(financial market Participants)— whether individual investors, analysts, investment advisors, or fund managers— may, after making an investment decision, tend to notice and consider information in a manner that supports their beliefs. ▪ They may notice and consider only confirmatory information and ignore or modify contradictory information. ▪ Client may insist on continuing to hold the investment, even when the advisor recommends otherwise, because the clients follow-up research seeks only information that confirms his belief that the investment is still a good value.
  • 8. Confirmation Bias 8 ▪ confirmation bias is exhibited repeatedly. As a result of confirmation bias, FMPs may do the following: ▪ Generally consider only positive information about an existing or proposed investment and ignore or discount negative information about the investment. ▪ Under diversify portfolios, leading to excessive exposure to risk. FMPs may become convinced of the value of a single company and its stock. ▪ They ignore negative news about the company and its stock, and they gather and process only information confirming that the company is a good investment. ▪ They build a large position and eventually own a poorly diversified portfolio.
  • 9. Representativeness Bias 9 ▪ People tend to classify new information based on past experiences and classifications. They believe their classifications are appropriate and place undue weight on them. ▪ This bias occurs because people attempting to derive meaning from their experiences tend to classify objects and thoughts into personalized categories. ▪ They rely on a best-fit approximation to determine which category should provide a frame of reference from which to understand the new information. ▪ FMPs often overweight new information and small samples because they view the information or sample as representative of the population as a whole.
  • 10. Representativeness Bias 10 ▪ FMPs may do the following: ▪ Adopt a view or a forecast based almost exclusively on new information or a small sample. For example, when evaluating investment managers, FMPs may place undue emphasis on high returns during a one-, two-, or three-year period, ignoring the base probability of such a return occurring. ▪ Update beliefs using simple classifications rather than deal with the mental stress of updating beliefs given complex data. This issue relates to an underlying difficulty (cognitive cost) in properly processing new information.
  • 11. Illusion of Control Bias 11 ▪ Illusion of control bias is a bias in which people tend to believe that they can control or influence outcomes when, in fact, they cannot. ▪ Expectancy of a personal success probability inappropriately higher than the objective probability would warrant. ▪ For example, Langer observed that people permitted to select their own numbers in a hypothetical lottery game were willing to pay a higher price per ticket than subjects gambling on randomly assigned numbers. ▪ FMPs may do the following: ▪ Trade more than is prudent. Researchers have found that traders, especially online traders, believe that they have control over the outcomes of their investments. ▪ Lead investors to inadequately diversify portfolios. Researchers have found that some investors prefer to invest in companies that they may feel they have some control over, like the companies they work for, leading them to hold concentrated positions.
  • 12. Hindsight Bias 12 ▪ Hindsight bias occurs when people see past events as having been predictable and reasonable to expect. People tend to remember their own predictions of the future as more accurate than they actually were because they are biased by the knowledge of what has actually happened. ▪ FMPs may do the following: ▪ Overestimate the degree to which they predicted an investment outcome, thus giving them a false sense of confidence. The hindsight bias may cause FMPs to take on excessive risk, leading to future investment mistakes. ▪ Cause FMPs to unfairly assess money manager or security performance. Based on their ability to look back at what has taken place in securities markets, performance is compared against what has happened as opposed to what is expected.
  • 13. Cognitive Dissonance Bias 13 ▪ When newly acquired information conflicts with preexisting understandings, people often experience mental discomfort—a psychological phenomenon known as cognitive dissonance. ▪ Cognitions, in psychology, represent attitudes, emotions, beliefs, or values; and cognitive dissonance is a state of imbalance that occurs when contradictory cognitions intersect. ▪ Cognitive dissonance encompasses the responses that arise when people struggle to harmonize cognitions and thereby relieve their mental discomfort.
  • 14. Cognitive Dissonance Bias 14 ▪ FMPs may do the following: Cognitive dissonance can cause investors to hold losing securities positions that they otherwise would sell because they want to avoid the mental pain associated with admitting that they made a bad decision. ▪ Cognitive dissonance can cause investors to continue to invest in a security that they already own after it has gone down (average down) to confirm an earlier decision to invest in that security without judging the new investment with objectivity and rationality. ▪ A common phrase for this concept is throwing good money after bad.
  • 15. Cognitive Dissonance Bias 15 ▪ Cognitive dissonance can cause investors to get caught up in herds of behavior; that is, people avoid information that counters an earlier decision (cognitive dissonance). ▪ Cognitive dissonance can cause investors to believe its different this time. ▪ People who purchased high-flying, hugely overvalued growth stocks in the late 1990s ignored evidence that there were no excess returns from purchasing the most expensive stocks available. ▪ In fact, many of the most high-flying companies are now far below their peaks in price.
  • 16. Information Processing Biases 16 Anchoring and Adjustment Bias Mental Accounting Bias Framing Bias Availability Bias Self-Attribution Outcome Bias Outcome Bias Emotional Biases Loss-Aversion Bias Overconfidence Bias Self-Control Bias Status Quo Bias Endowment Bias Regret-Aversion Bias Affinity Bias Status Quo Bias
  • 17. Anchoring and Adjustment Bias 17 ▪ Anchoring and adjustment bias is an information processing bias in which the use of psychological heuristics influences the way people estimate probabilities. ▪ Mental Accounting Bias : Mental accounting bias is an information processing bias in which people treat one sum of money differently from another equal-sized sum based on which mental account the money is assigned to. ▪ Framing Bias : Framing bias is an information processing bias in which a person answers a question differently based on the way in which it is asked (framed). ▪ The frame that a decision maker adopts is controlled partly by the formulation of the problem and partly by the norms, habits, and personal characteristics of the decision maker.
  • 18. Availability Bias 18 ▪ Availability Bias : Availability bias is an information processing bias in which people take a heuristic (also known as a rule of thumb or a mental shortcut) approach to estimating the probability of an outcome based on how easily the outcome comes to mind. ▪ Self-Attribution : Bias Self-attribution bias (or self-serving attribution bias) refers to the tendency of individuals to ascribe their successes to innate aspects, such as talent or foresight, while more often blaming failures on outside influences, such as bad luck. ▪ Outcome Bias : Outcome bias refers to the tendency of individuals to decide to do something— such as make an investment in a mutual fund—based on the outcome of past events (such as returns of the past five years) rather than by observing the process by which the outcome came about (the investment process used by the mutual fund manager over the past five years). ▪ An investor might think: ―This manager had a fantastic five years, I am going to invest with her, rather than understanding how such great returns were generated
  • 19. Recency Bias 19 ▪ Recency Bias : Recency bias is a cognitive predisposition that causes people to more prominently recall and emphasize recent events and observations than those that occurred in the near or distant past. ▪ Emotional Biases : Emotional biases can cause investors to make suboptimal decisions. Because emotions are rarely identified and recorded in the decision making process—they have to do with how people feel rather than what and how they think—fewer emotional biases have been identified. ▪ The seven emotional biases discussed are loss aversion, overconfidence, self- control, status quo, endowment, regret aversion, and affinity. ▪ Loss-Aversion Bias: loss-aversion occurs when people tend to strongly prefer avoiding losses as opposed to achieving gains. A number of studies suggest that, psychologically, losses are significantly more powerful than gains.
  • 20. Emotional Biases 20 ▪ Self-Control Bias : Self-control bias is a bias in which people fail to act in pursuit of their long-term, overarching goals because of a lack of self- discipline. There is an inherent conflict between short-term satisfaction and achievement of some long-term goals. ▪ Status Quo Bias : Status quo bias, coined by Samuelson and Zeck hauser, is an emotional bias in which people do nothing (maintain the status quo) instead of making a change. People are generally more emotionally comfortable keeping things the same than they are with change, and thus do not necessarily look for opportunities where change is beneficial. ▪ Endowment Bias : Endowment bias is an emotional bias in which people value an asset more when they hold rights to it than when they do not. Endowment bias is inconsistent with standard economic theory, because the price a person is willing to pay for a good should equal the price at which that person would be willing to sell the same good.
  • 21. Emotional Biases 21 ▪ Affinity Bias: Affinity bias refers to an individuals tendency to make irrationally uneconomical consumer choices or investment decisions based on how they believe a certain product or service will reflect their values. ▪ This idea focuses on the expressive benefits of a product rather than on what the product or service actually does for someone (the utilitarian benefits). ▪ Overconfidence Bias: Overconfidence bias is a bias in which people demonstrate unwarranted faith in their own intuitive reasoning, judgments, and/or cognitive abilities. This overconfidence may be the result of overestimating knowledge levels, abilities, and access to information.
  • 22. Points to be Remember Belief Perseverance Biases CONSERVATISM People often fail to modify their beliefs and actions to the extent rationally justified by the new information CONFIRMATION People tend to look for and notice what confirms their beliefs, and to ignore or undervalue what contradicts their beliefs.
  • 23. Points to be Remember Belief Perseverance Biases REPRESENTATIVENESS - Classify new information based on past experiences and classifications. - People attempting to derive meaning from their experiences - often overweight new information and small samples ILLUSION OF CONTROL - People tend to believe that they can control or influence outcomes - Lead investors to inadequately diversify portfolios.
  • 24. Points to be Remember Belief Perseverance Biases HINDSIGHT - People tend to remember their own predictions of the future as more accurate - Overestimate the degree to which they predicted an investment outcome, thus giving them a false sense of confidence. COGNITIVE DISSONANCE - People often experience mental discomfort - a psychological phenomenon known as cognitive dissonance. - This concept is throwing good money after bad. - Cognitive dissonance can cause investors to believe its different this time.
  • 25. Points to be Remember Anchoring and Adjustment Bias Mental Accounting Bias Framing Bias Availability Bias Self-Attribution Outcome Bias Emotional Biases Loss-Aversion Bias Overconfidence Bias Self-Control Bias Status Quo Bias Endowment Bias Regret-Aversion Bias Affinity Bias Status Quo Bias
  • 26. Points to be Remember Variance & Co Variance  Variance refers to the spread of a data set. It’s a measurement used to identify how far each number in the data set is from the mean.  A large variance means that the numbers in a set are far from the mean and each other.  A small variance means that the numbers are closer together in value.  Covariance is a measure of the relationship between two random variables. The metric evaluates how much – to what extent – the variables change together.  Covariance, we can only gauge the direction of the relationship (whether the variables tend to move in tandem or show an inverse relationship).  Positive covariance: Indicates that two variable tend to move in the same direction.  Negative covariance: Reveals that two variables tend to move in inverse directions.