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HeuristicDriven Bias: The First Theme

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The heuristic-driven bias is the improper influence of flawed assumptions and ... unwillingness to gamble when the odds are unknown. Emotion & Cognition ... – PowerPoint PPT presentation

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Title: HeuristicDriven Bias: The First Theme


1
Heuristic-Driven BiasThe First Theme
  • Taken from
  • Beyond Greed Fear Understanding Behavioral
    Finance and the Psychology of Investing
  • by Hersh Shefrin

2
What is the heuristic-driven bias?
  • The heuristic-driven bias is the improper
    influence of flawed assumptions and imperfect
    decision strategies that can lead investors to
    make errors in judgment.
  • Heuristic-driven bias includes behavioral
    concepts like availability, representativeness,
    anchoring-and-adjustment, overconfidence, and
    aversion to ambiguity.

3
Heuristics
  • A heuristic is an informal, speculative, shortcut
    strategy that we use in decision making.
  • They indirectly influence our judgment by
    affecting how we selectively process information
    from a complex environment.
  • Heuristics can be helpful at times, but are not
    always accurate. They can lead to other
    cognitive biases.

4
Availability Heuristic
  • Occurs when we make judgments on the basis of how
    easily we can call to mind what we perceive as
    relative instances of a given phenomenon
  • The ease of imagining an example, or the
    vividness and emotional impact of that example
    becomes more credible than actual statistical
    probability of the event occuring.

5
Biases caused by the availability heuristic
  • Ease of recall (based on vividness)
  • Example Which is the more frequent cause of
    death in the U.S., homicide or stroke?
  • Retrievability (based on memory structures)
  • Example Are there more words in the English
    language that begin with R or have R as the third
    letter?
  • Presumed associations
  • Example Are couples who get married under the
    age of 25 more likely to have larger families?

6
Representativeness Heuristic
  • People look for traits that an individual,
    object, or event may have that correspond with
    previously formed stereotypes.

7
Biases caused by the representativeness heuristic
  • Insensitivity to sample size
  • Example (from Tversky and Kahneman)
  • A town is served by two hospitals. In the
    large one, 45 babies are born each day and in the
    smaller hospital about 15 babies are born each
    day. For a period of one year, each hospital
    recorded days in which more than 60 of the
    babies born were boys. Which hospital do you
    think recorded more such days?
  • a. The larger hospital
  • b. The smaller hospital
  • c. About the same

8
Biases caused by the representativeness heuristic
  • Misconceptions of chance
  • People expect a sequence of random events to
    look random, and believe that outcomes of
    previous random events affect future random
    events.
  • Example (gamblers fallacy)
  • After holding bad cards on 10 hands of
    poker, the player believes he is due a good
    hand.

9
Biases caused by the representativeness heuristic
  • Regression to the mean
  • People assume that future outcomes will be
    directly predictable from past outcomes. They
    base predictions on the assumption of a perfect
    correlation with past data.
  • Example Using high school GPA as a
    predictor of college GPA.

10
Overconfidence
  • People are imperfect at gauging their own level
    of accuracy.
  • People fail to appreciate the difficulty of
    questions. They do not decrease their confidence
    as their knowledge about the subject of a
    question decreases.
  • People tend to be more overconfident when asked
    to respond to questions of moderate to extreme
    difficulty than when responding to simple
    questions.

11
Anchoring Adjustment
  • A psychological heuristic which influences the
    way people intuitively assess probabilities.
  • People start with an implicitly suggested
    reference point (the "anchor") and make
    adjustments to it to reach their estimate.
  • People respond conservatively to new information,
    especially if the new information increases the
    level of uncertainty.

12
Aversion to Ambiguity
  • Describes an attitude of preference for known
    risks over unknown risks, or the familiar to the
    unfamiliar.
  • Example Willingness to gamble when the
    odds are even vs the
  • unwillingness to gamble
    when the odds are unknown.

13
Emotion Cognition
  • Many of the cognitive biases discussed have
    emotional components.
  • Emotion is an important context effect for the
    encoding and retrieval of memory. This suggests
    that phenomena involving the availability
    heuristic, which relies on our ability to recall
    events, could have both cognitive and emotional
    components.

14
Summary
  • Heuristic-driven bias is influenced by
  • 1. Availability
  • a. Ease of recall
  • b. Retrievability
  • c. Presumed associations

15
Summary
  • Heuristic-driven bias is influenced by
  • 2. Representativeness
  • a. Insensitivity to sample size
  • b. Misconceptions of chance
  • c. Regression to the mean

16
Summary
  • Heuristic-driven bias is influenced by
  • 3. Overconfidence
  • 4. Anchoring and Adjustment
  • 5. Aversion to Ambiguity
  • 6. Emotion and Cognition
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