4.3 Flashcards

1
Q

Expected utility theory

A

Rational. What we should be doing.

  • U = expectation overall prospect
  • Asset integration = u accept prospect when integration assets > assets alone. Final states instead of losses and gain
  • Concavity of utility function = risk aversion
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2
Q

Which phenomenon violate the EUT?

A

100% - red reflection - dark alone

  1. certainty = overweight certain prospects
  2. Reflection Effect = we are risk-seeking when it comes to losses

*probabilistic insurance
When winning is probable -> we take higher probability. When its possible -> higher gain

  1. Isolation effect = to simplify choice ppl disregard components that the alternatives share.

EUT is not realistic => Prospect theory

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3
Q

Explain how Certainty violates EUT

A
  1. certainty = overweight certain prospects vs probable outcomes. As soon as a certain outcome is mentioned people choose that and underweights the probable option

EUT is not realistic => Prospect theory

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4
Q

Explain why reflection effect violates EUT

A
  1. certainty = overweight certain prospects
  2. Reflection Effect = we are risk-seeking when it comes to losses
  • probabilistic insurance, reduces risk -> EUT
  • regular, eliminate risk -> PT

When winning is probable -> we take higher probability. When its possible -> higher gain

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5
Q

Explain why the Isolation effect violates the EUT

EUT is not realistic => Prospect theory

A
  1. Isolation effect = to simplify choice ppl disregard components that the alternatives share, and focus on components that distinguish them. Leads to inconsistent preferences!!!!

EUT is not realistic => Prospect theory

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6
Q

What are the 2 phases people use in PT

A
  1. editing phase = to simplify choice
    Coding/ combination/ segregation/ cancellation/ simplification/ detection of dominance
  2. Evaluation phase = look at vie of each prospect and choose. Split in V= subjective value of outcome, deviation from reference point. and ~= decision weights ( perceived stated probability)
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7
Q

Coding phase (6)

A

Coding/ combination/ segregation/ cancellation/ simplification/ detection of dominance

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8
Q

(3) Value Function

A

V= subjective value of outcome, deviation from reference point.

  1. Reference point depends on framing
  2. Concave / convex: diminishing marginal value over time
  3. Steeper for losses than for gains. Losses hurt more. And faster.
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9
Q

(4) weighting function

A

and ~= decision weights ( perceived stated probability)

  1. Overweighting: when p=small, we put extra weight on it because its hard for us to understand how small it is. We therefore overestimate.
    * beginning graph
  2. Subaddivity: the tendency to judge the probability as a whole to be LESS than prob of its parts. E.g. Deceases
  3. Subcertainty: doesn’t happen for impossible or certain events. Weight of event A+B < 1. *End graph
  4. Subproportionality: for small p (lottery ticket) the sum is closer to unity (=rational line) due to convex curve. *highlight in graph
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