SMU H3 Notes Game TheoryGamesSMU H3

Risk-Sharing under External Uncertainty

Game theory analysis: Risk-Sharing under External Uncertainty.


Setup

Definition:

Risk-Sharing under External Uncertainty

  • Players: Two players, Agent 1 and Agent 2.
  • Strategies: No agreement: each agent keeps their realised payoff; Risk-sharing agreement: the lucky agent transfers 6000060000 to the unlucky agent; Insurance: the agent pays a premium to remove the risky payoff.

Rules

Payoff Details

& Good & Bad \ No agreement & 160000160000 & 4000040000 \ Probability & 0.50.5 & 0.50.5 \ Risk-sharing agreement & 100000100000 & 100000100000 \ Probability & 0.50.5 & 0.50.5

Derivation (Best Response Analysis)

E(π)=12(160000)+12(40000)=100000.E(\pi)=\frac{1}{2}(160000)+\frac{1}{2}(40000)=100000. E(π)=12(100000)+12(100000)=100000.E(\pi)=\frac{1}{2}(100000)+\frac{1}{2}(100000)=100000.

Utility and Risk Aversion

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

Insurance

10000090000=10000.100000-90000=10000.

Graph Interpretation

diagram

y=u(160000)+u(160000)u(40000)16000040000(x160000).y=u(160000)+\frac{u(160000)-u(40000)}{160000-40000}(x-160000). x=160000p+40000(1p).x=160000p+40000(1-p). y=pu(160000)+(1p)u(40000)=E[u(x)].y=pu(160000)+(1-p)u(40000)=E[u(x)]. E[u(x)]<u(E[x]).E[u(x)]<u(E[x]).

Derivation (Nash Equilibrium)

Nash Equilibrium

Result:

For risk-averse agents, the risk-sharing agreement is the stable outcome: the lucky agent pays 6000060000 to the unlucky agent, and both receive 100000100000 for sure.

Social Optimum

Insights

Insight:

  • Risk sharing eliminates uncertainty without changing expected value.
  • Risk-averse individuals prefer certainty.
  • Insurance pricing reflects the gap between expected value and certainty equivalent.
  • Expected utility lies on the chord, not on the utility curve.
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