Lecture 12: Cumulative Prospect Theory Flashcards
PT - Violation of stochastic dominance
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
Cumulative Prospect Theory
Uses transformation of the cumulative probability instead of separate probabilities.
PT: overweighting of unlikely events
CPT: overweighting of extreme outcomes
What is the difference between PT and CPT?
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)
Cumulative Prospect Theory - Steps
- Valuation of outcomes: a(i) -> v[a(i)]
- Calculate transformed probabilities: p(i) -> w[p(i)]
- Calculate CPT value: Sum v[a(i)] * w[p(i)]
Probability weighting function for positive prospects
- risk neutral: points are on the diagonal
- risk averse: points are below the diagonal
- risk prone: points are above the diagonal
Probability weighting function for negative prospects
- risk neutral: points are on the diagonal
- risk averse: points are above the diagonal
- risk prone: points are below the diagonal
Characteristics of CPT
- Stochastic dominance is not violated
- Cumulative instead of individual probabilities are transformed
- Decision weights don’t have to add up to one
Examples of prospect theory in real life
- Consumer goods:
- Asymmetric price elasticities
- price increase = loss; price decrease = gain
- Losses are weighted more heavily -> demand responses are more elastic to price increases - Stock market:
- Disposition effect
- Holding losers to long and winners to short because the purchase price is used as reference point