- Content map: SMU H3 Game Theory Map
Setup
Definition:
Risk-Aversion under External Uncertainty
- Players: One decision maker
- Strategies: Choose the payoff-dominant risky option; Choose the risk-dominant agreement.
Rules
- Start with a risky payoff-dominant option and a certain risk-dominant agreement; The decision maker chooses between the risky option and the certain agreement.
- The player who maximises expected utility chooses the preferred option.
- The decision maker values money using the utility function ; The payoff-dominant option gives in the good state and in the bad state.
- The risk-dominant agreement gives in both states.
- Each state occurs with probability .
Payoff Details
& Good & Bad \ Payoff-dominant option & & \ Risk-dominant agreement & &
Derivation (Best Response Analysis)
- Expected utility from the payoff-dominant risky option is:
- Expected utility from the risk-dominant agreement is:
- The risk-dominant agreement gives higher expected utility.
Bernoulli Utility Function
Definition:
A Bernoulli utility function maps monetary payoff into utility .
Risk aversion is represented by concavity:
For a risky payoff ,
- Here,
- The risky option has
- Utility of expected wealth:
- Certainty equivalent:
- Risk premium:
Diagram (Bernoulli Utility)

Derivation (Nash Equilibrium)
- With concave utility, the decision maker dislikes payoff dispersion.
- The risky option and the agreement have the same expected monetary payoff.
- The agreement is preferred because it gives the same payoff in both states.
Nash Equilibrium
Result:
The risk-averse decision maker chooses the risk-dominant agreement because .
Social Optimum
- Expected monetary payoff is unchanged.
- Expected utility is higher under the risk-dominant agreement.
- The optimal choice for a risk-averse decision maker is the certain payoff.
Insights
Insight:
- Risk aversion is about utility, not only money.
- Concave utility makes equalised payoffs more attractive.
- A certain payoff can be better than a risky payoff with the same average value.