SMU H3 Notes Game TheoryGamesSMU H3

Risk-Aversion under External Uncertainty

Game theory analysis: Risk-Aversion under External Uncertainty.


Setup

Definition:

Risk-Aversion under External Uncertainty

  • Players: One decision maker
  • Strategies: Choose the payoff-dominant risky option; Choose the risk-dominant agreement.

Rules

Payoff Details

& Good & Bad \ Payoff-dominant option & 160000160000 & 4000040000 \ Risk-dominant agreement & 100000100000 & 100000100000

Derivation (Best Response Analysis)

E(u)=12160000+1240000=300E(u)=\frac{1}{2}\sqrt{160000}+\frac{1}{2}\sqrt{40000}=300 E(u)=12100000+12100000=10010>300E(u)=\frac{1}{2}\sqrt{100000}+\frac{1}{2}\sqrt{100000}=100\sqrt{10}>300

Bernoulli Utility Function

Definition:

A Bernoulli utility function maps monetary payoff xx into utility u(x)u(x).

Risk aversion is represented by concavity:

u(x)>0,u(x)<0u'(x)>0, \qquad u''(x)<0

For a risky payoff XX,

E[u(X)]<u(E[X])E[u(X)]<u(E[X]) u(x)=xu(x)=\sqrt{x} E[X]=12(160000)+12(40000)=100000E[X]=\frac{1}{2}(160000)+\frac{1}{2}(40000)=100000 u(E[X])=100000=10010u(E[X])=\sqrt{100000}=100\sqrt{10} u(CE)=E[u(X)]CE=300CE=90000u(CE)=E[u(X)] \quad\Longrightarrow\quad \sqrt{CE}=300 \quad\Longrightarrow\quad CE=90000 E[X]CE=10000090000=10000E[X]-CE=100000-90000=10000

Diagram (Bernoulli Utility)

diagram

Derivation (Nash Equilibrium)

Nash Equilibrium

Result:

The risk-averse decision maker chooses the risk-dominant agreement because 10010>300100\sqrt{10}>300.

Social Optimum

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.
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