Lecture 12: Cumulative Prospect Theory Flashcards

1
Q

PT - Violation of stochastic dominance

A

Under PT a lottery where each outcome is below a given sure payment might be preferred over the sure payment due to overvaluation of small probabilities and diminishing marginal utility.
-> Stochastic dominance is violated!

Solution: Cumulative Prospect Theory

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2
Q

Cumulative Prospect Theory

A

Uses transformation of the cumulative probability instead of separate probabilities.

PT: overweighting of unlikely events
CPT: overweighting of extreme outcomes

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3
Q

What is the difference between PT and CPT?

A

PT: All unlikely events (low probability) receive the same overweighting

CPT: Overweighting differs although the probabilities are equal -> highest for the most extreme outcome (high deviation from reference point)

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4
Q

Cumulative Prospect Theory - Steps

A
  1. Valuation of outcomes: a(i) -> v[a(i)]
  2. Calculate transformed probabilities: p(i) -> w[p(i)]
  3. Calculate CPT value: Sum v[a(i)] * w[p(i)]
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5
Q

Probability weighting function for positive prospects

A
  • risk neutral: points are on the diagonal
  • risk averse: points are below the diagonal
  • risk prone: points are above the diagonal
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6
Q

Probability weighting function for negative prospects

A
  • risk neutral: points are on the diagonal
  • risk averse: points are above the diagonal
  • risk prone: points are below the diagonal
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7
Q

Characteristics of CPT

A
  • Stochastic dominance is not violated
  • Cumulative instead of individual probabilities are transformed
  • Decision weights don’t have to add up to one
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8
Q

Examples of prospect theory in real life

A
  1. Consumer goods:
    - Asymmetric price elasticities
    - price increase = loss; price decrease = gain
    - Losses are weighted more heavily -> demand responses are more elastic to price increases
  2. Stock market:
    - Disposition effect
    - Holding losers to long and winners to short because the purchase price is used as reference point
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