SMU H3 Notes Game TheoryGamesSMU H3

Incomplete-Information Trading Game

Game theory analysis: Incomplete-Information Trading Game.


Setup

Definition:

Incomplete-Information Trading Game

  • Players: Three players, Player 1, Player 2, and Nature, who independently draws wallet values.
  • Strategies:
    • Nature draws w1w_1 for Player 1 and w2w_2 for Player 2.
    • Values are independent and uniformly distributed on Ω={5,6,7,,55}\Omega=\{5,6,7,\dots,55\}.
    • Player 1 observes w1w_1 and Player 2 observes w2w_2 only, but both players know Nature’s distribution.
    • Each player chooses Keep or Swap after observing their own wallet.

Rules

Payoff Matrix

SwapKeep
Swapw_2, w_1w_1, w_2
Keepw_1, w_2w_1, w_2

Derivation (Best Response Analysis)

Dominance argument

Cutoff strategy

σ^2={Swapif w2c2,Keepif w2>c2.\hat{\sigma}_2= \begin{cases} \text{Swap} & \text{if } w_2\leq c_2,\\ \text{Keep} & \text{if } w_2 > c_2. \end{cases} E(π1Swap)=5+6++c251+(55c2)w151.E(\pi_1\mid \text{Swap}) =\frac{5+6+\dots+c_2}{51} +\frac{(55-c_2)w_1}{51}. E(π1Keep)=w1.E(\pi_1\mid \text{Keep})=w_1.

Cutoff condition

51w15+6++c2+(55c2)w1.51w_1\geq 5+6+\dots+c_2+(55-c_2)w_1. (c24)w15+6++c2.(c_2-4)w_1\geq 5+6+\dots+c_2.

Example cutoff

22w15+6++26.22w_1\geq 5+6+\dots+26. w134122=15.5.w_1\geq \frac{341}{22}=15.5. σ1={Swapif w115,Keepif w116.\sigma_1= \begin{cases} \text{Swap} & \text{if } w_1\leq 15,\\ \text{Keep} & \text{if } w_1\geq 16. \end{cases}

Derivation (Nash Equilibrium)

Candidate cutoff strategies

σ1={Swapif w1c1,Keepif w1c1+1,\sigma_1= \begin{cases} \text{Swap} & \text{if } w_1\leq c_1,\\ \text{Keep} & \text{if } w_1\geq c_1+1, \end{cases} σ2={Swapif w2c2,Keepif w2c2+1.\sigma_2= \begin{cases} \text{Swap} & \text{if } w_2\leq c_2,\\ \text{Keep} & \text{if } w_2\geq c_2+1. \end{cases}

Best-response equations

c1=5+c22,c_1=\frac{5+c_2}{2}, c2=5+c12.c_2=\frac{5+c_1}{2}. c1=c2=5.c_1=c_2=5.

Cutoff equilibrium strategy

σ2(w)={Swapif w=5,Keepif w>5.\sigma^2(w)= \begin{cases} \text{Swap} & \text{if } w=5,\\ \text{Keep} & \text{if } w>5. \end{cases}

Always-keep strategy

σ1(w)=Keepfor all wΩ.\sigma^1(w)=\text{Keep}\qquad\text{for all }w\in\Omega.

Equilibrium verification

(σ1,σ1),(σ1,σ2),(σ2,σ1).(\sigma^1,\sigma^1),\qquad (\sigma^1,\sigma^2),\qquad (\sigma^2,\sigma^1).

Nash Equilibrium

Result:

The cutoff equilibrium is

(σ2,σ2),(\sigma^2,\sigma^2),

where each player swaps only when w=5w=5 and keeps otherwise.

The strategy pairs

(σ1,σ1),(σ1,σ2),(σ2,σ1),(σ2,σ2)(\sigma^1,\sigma^1),\qquad (\sigma^1,\sigma^2),\qquad (\sigma^2,\sigma^1),\qquad (\sigma^2,\sigma^2)

are Nash equilibria.

Social Optimum

w1+w2.w_1+w_2.

Insights

Insight:

  • Willingness to swap signals a low wallet value.
  • Higher types refuse to trade because the opponent’s willingness to trade is bad news.
  • Trade occurs only at the lowest possible type.
  • This is a classic adverse-selection or lemons-market outcome.
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