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CFA 3 2019 > Behaviour Finance > Flashcards

Behaviour Finance Flashcards

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1
Q

•Behaviour Finance•

Cognitive - Hindsight bias

A

Hindsight bias - see past events as having been predictable, resulting in regret or forgetting errors

  1. taking too much risk or clients who unfairly blame their manager
  2. keep and review records to determine successes and failures
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2
Q

•Behaviour Finance•

Cognitive - Illusion of control bias ​

A

Illusion of control bias - assuming they can influence the outcome

  • trade too quickly
  • under-diversify
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3
Q

•Behaviour Finance•

Cognitive - Representativeness bias

A

Representativeness bias – classify new information based on past experiences/stereotype heuristics.

  • overemphasizing data covering short time periods
  • reacting too quickly to new information
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4
Q

•Behaviour Finance•

Cognitive - Confirmation bias

A

Confirmation bias – Look for / notice what confirms beliefs (ignore contrary data)

  • under-diversification (e.g. over concentration in employer stock)
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5
Q

•Behaviour Finance•

Cognitive - Conservatism bias

A

Conservatism bias

  • emphasizing initial information (maintain prior forecast)
  • slow to update views (hold securities too long)
  • overweight past info
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6
Q

•Behaviour Finance•

4 axioms of Utility Theory

If all holds, individual is rational

A

1. Completeness: defined preference and decides b/w 2 choices (A > B)

2. Transitivity: rankings are applied (if A > B and B > C, then A > C)

3. Independence: new item does not change independent utility (if A > B then [A + C] > [B + C]) – utilities are additive and divisible

4. Continuity: smooth and continuous (unbroken) indifference curve

​

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7
Q

•Behaviour Finance•

Bayes’ Formula

A

Bayes Formula – how probabilities should change given new information (i.e. conditional probability)

P (A | B) = [P (B | A) * P (A)] / P (B) = probability of A given B (eg. A urns, B red ball.)

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8
Q

•Behaviour Finance•

Decision tree under Traditional Finance

A
  1. 4 axioms of the utility function
  2. Use Bayes’ Formula (conditional probability)
  3. Max. exp. utility subject to budget constraints
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9
Q

Rational Economic Man (REM)

A
  1. Perfectly rational
  2. Perfectly informational
  3. Perfectly selfish
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10
Q

•Behaviour Finance•

Utility Function - Traditional Finance vs. Behaviour Finance

A

Traditional finance - risk averse (concave, eg. insurance), risk-loving (convex, eg. lottery ticket) or risk neutral

Behaviour Finance - Double inflection utility function (utility change based on the level of wealth) + Prospect Theory

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11
Q

•Behaviour Finance•

Prospect Theory

A

Prospect Theory - Alternative to utility theory, dependent on framing effects

  • Focus on perceived gains/losses (Δ wealth) based on a reference point
  • Subjective decision weights replace objective probability
  • Risk-averse for gains
  • Risk-seeking for losses

​

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12
Q

•Behaviour Finance•

Behavior Finance Decision Tree

A

(i) Editing phase - Organize and reformulate simplify option

  • Isolation Effect - Focus on one while ignoring other factors

(ii)Evaluation phase - people are loss-averse and reference dependent – decisions are made based on wpv (weight * probability * value)

​

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13
Q

•Behaviour Finance•

Bounded Rationality

A

Bounded Rationality - Relaxes perfect information and process according to expected utility theory.

Satisfice (satisfy + suffice) when bounded by constraints (e.g. time and money). It may not be optimal, but it is acceptable / adequate

When some (but not all) information is available, use heuristics (rule of thumb).

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14
Q

•Behaviour Finance•

Forms of Efficient Market Hypothesis

(and market anomalies)

A

(i) Weak form: price and volume (i.e. technical analysis do not work)
(ii) Semi-strong form: public information, prices, volume (i.e. technical and fundamental analysis do not work)

(iiI) Strong form: public and private information (i.e. technical, fundamental or insider information do not work)

Market anomalies: Fundamental (small vs large cap), Technical (moving avg) and Calendar (January effect)

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15
Q

•Behaviour Finance•

Traditional Finance Portfolio Construction

A

MVO subject to constraints and objectives

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16
Q

•Behaviour Finance•

Behavioral Finance Portfolio Construction

Asset Pricing (equity discount rate)

A

CAPM + SDF = rf + risk premium + sentiment premium (i.e. stochastic discount factor considering dispersion of analysts forecast)

17
Q

•Behaviour Finance•

Behavioral Biases:

Cognitive errors vs Emotional biases

A

Cogntive errors: heuristics / memory errors, faulty reasoning

  • Better info / education

Emotional biases: impulse or intuition, reasoning influenced by feelings.

  • Recognize and adapt
18
Q

•Behaviour Finance•

Cognitive Errors

Confirmation bias - Related bias

A
  1. Confirmation bias – Look for / notice what confirms beliefs
  • Base-rate neglect (rely on stereotypes)
  • Sample-size neglect (assume that small data size reflects the whole)
19
Q

•Behaviour Finance•

Cognitive Errors

Believe Perseverance Biases

A

CC-RIH’der

  1. Conservatism bias – emphasizing initial information
  2. Confirmation bias – Look for / notice what confirms beliefs (“stock love bias”)
  • Base-rate neglect (rely on stereotypes)
  • Sample-size neglect (assume that small data size reflects the whole)
  1. Representativeness bias – once classification is made, do consider the accuracy of it
  2. Illusion of control bias
  3. Hindsight bias - see past events as having been predictable, resulting in regret or forgetting errors
20
Q

•Behaviour Finance•

Cognitive Errors

Information-Processing Biases

A

FAMA

  1. Framing bias ​- how information is presented changes the decision made
  2. Anchoring & Adjustment
  3. Mental accounting bias
  4. Availability bias ​- likelihood based on how easily recall information
21
Q

•Behaviour Finance•

Emotional Biases

Loss aversion bias - Related bias

A
  1. Loss aversion bias - strongly prefer avoiding losses than earning gains
    (i) Myopic loss aversion - Avoiding equity to avoid short-run declines in value

Disposition Effect - Selling winners and holding on to losers

22
Q

•Behaviour Finance•

Emotional Biases

Overconfidence bias - Related bias

A
  1. Overconfidence bias (illusion of knowledge)
    (i) Prediction overconfidence ​- overestimate accuracy
    (ii) Certainty overconfidence - confidence increasing faster than accuracy
    (iii) Self-Attribution bias:
    a. Self-Enhancing bias - Take all the credit
    b. Self-Protecting bias - Place blame on others
23
Q

•Behaviour Finance•

Emotional Biases

Self-control bias - Related bias

A
  1. Self-control bias - Lack of self-discipline
    (i) Hyperbolic discounting ​- fail to balance short-term satisfaction with long-term goal
24
Q

•Behaviour Finance•

Emotional Biases

Regret-aversion bias - Related bias

A
  1. Regret-aversion bias
    (i) Error of commission ​- from action taken
    (i) Error of omission ​- from action not taken
25
Q

•Behaviour Finance•

Emotional Biases

A

LOSERS

  1. Loss aversion bias - strongly prefer avoiding losses than earning gains
    (i) Myopic loss aversion - Avoiding equity to avoid short-run declines in value
  2. Overconfidence bias (illusion of knowledge)
    (i) Prediction overconfidence ​- overestimate accuracy
    (ii) Certainty overconfidence - confidence increasing faster than accuracy
    (iii) Self-Attribution bias - taking credit for success and blaming others for failure
  3. Self-control bias - Lack of self-discipline
    (i) Hyperbolic discounting ​- fail to balance short-term satisfaction with long-term goal
  4. Endowment bias - what is owned is more valuable
  5. Regret-aversion bias
    (i) Error of commission ​- from action taken
    (i) Error of omission ​- from action not taken
  6. Status quo bias - Do nothing instead of making changes (inertia)
26
Q

•Behaviour Finance•

Barnewall 2-way Model

A

Active - wealth creators = higher confidence and willingness to assume risk. Usually more ability

Passive - inherited wealth, “employees” = higher security needed, less willing to take risk.

27
Q

•Behaviour Finance•

Bailard, Biehl, and Kaiser 5-way Model

(BB&K 5-way model)

A
  • Individualist: Confident, hard facts, careful research. Listen to advice
  • Guardian: Security and loss aversion. Seek advice.
  • Straight Arrow: Sensible and secure, appropriate risk return.
  • Adventurer: Undiversified, overconfident, self-assured. No advice.
  • Celebrity: Center of attention, strong opinions. Seek advice
28
Q

•Behaviour Finance•

Pompian Model

A
  1. Passive Preserver (PP) - Passive + Emotional
  2. Friendly Follower (FF) - Passive + Cognitive
  3. Independent Individualist (II) - Active + Cognitive
  4. Active Accumulator (AA) - Active + Emotional
29
Q

•Behaviour Finance•

Analyst Biases in Research

A
  1. Confirmation Bias
  2. Gambler’s Fallacy – wrongly predicting reversion to the mean (e.g. misunderstand of prob. “exp. toss heads b/c the last was tail”)
  3. Representative Bias
30
Q

•Behaviour Finance•

Committee Decision-Making Biases

A

Social proof bias – bias towards the beliefs of a group

31
Q

•Behaviour Finance•

Standard of Living Risk (SLR) & Cognitive / Emotional Bias

A

High Wealth (Low SLR); do whatever he wants;

Low Wealth (high SLR) - Cognitive: Educate

Low Wealth (high SLR) - Emotional: Moderate

32
Q

•Behaviour Finance•

Bias in Portfolio Construction

A
  1. Inertia and Default - investors do not rebalance (status quo bias)

2. Naive Diversification – to avoid regret, 1/n

3. Investing in familiar (company stock) - Lack diversification = status quo + loyalty + financial incentives + framing + etc.

4. Excessive trading - Overconfident investors.

  • Disposition effect (hold losers too long, sell winners).

5. Home Bias

6. Behavior Portfolio Theory

33
Q

•Behaviour Finance•

Gambler’s Fallacy

A

Gambler’s Fallacy - Wrongly predicting reversal to mean

CFA 3 2019 (14 decks)

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