Game Theory with Applications to Finance and Marketing
Game Theory with Applications to Finance and Marketing
Game Theory with Applications to Finance and Marketing
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22. Now we summarize the equilibria. First suppose that for one firm i,<br />
∆F i (v) > 0. Then ∆F j (v) = 0, implying that ∆F j (V ) > 0 <strong>and</strong> hence<br />
Π j = αV . It follows that Π i = αV also. Since v is a best response for<br />
firm i, we must have<br />
∆F j (V )v(1−α)+[1−∆F j (V )]vα = αV, ⇒ ∆F j (V ) =<br />
Alternatively, we can obtain the same result from<br />
α(V − v)<br />
v(1 − 2α) . (5)<br />
∆F j (V ) = 1 − F j (v−). (6)<br />
In this case, we have<br />
⎧<br />
⎪⎨<br />
F i (p i ) =<br />
⎪⎩<br />
0, p i ≤ αV<br />
1−α ;<br />
1−α− αV<br />
p i<br />
1−2α , p i ∈ [ αV<br />
1−α , v);<br />
p ∗ , p i ∈ [v, V );<br />
1, p i ≥ V,<br />
<strong>and</strong><br />
⎧<br />
⎪⎨<br />
F j (p j ) =<br />
⎪⎩<br />
0, p j ≤ αV 1−α<br />
1−α− αV<br />
p j<br />
1−2α p j ∈ [ αV 1−α<br />
1−α− αV v<br />
1−2α , p j ∈ (v, V );<br />
1, p j ≥ V,<br />
(7)<br />
where p ∗ ∈ ( 1−α− αV v<br />
1−2α , 1].<br />
Next consider the case where ∆F A (v) = ∆F B (v) = 0. In this case, the<br />
equilibrium is symmetric, <strong>and</strong> we have both F A (·) <strong>and</strong> F B (·) characterized<br />
by the F j (·) above. 11<br />
23. Let S A <strong>and</strong> S B be the supports of equilibrium prices p A <strong>and</strong> p B . Then<br />
for i = A, B, we can interpret sup S i as the regular price of firm i,<br />
<strong>and</strong> any price strictly lower than sup S i as a dealing price. Now we<br />
can compute that the dealing frequency for a firm, which is the firm’s<br />
probability of selecting a dealing price. In the symmetric equilibrium,<br />
11 It can be verified that in the former equilibrium v is a not a pure-strategy best response<br />
for firm j, but it is in the latter equilibrium.<br />
21