Consider whether the promises and threats made toward each other by duopolists and oligopolists are always credible (believable). Look at the figure below. Imagine that the two firms will play this game twice in sequence and that each firm claims the following policy. Each says that if both it and the other firm choose the high price in the first game, then it will also choose the high price in the second game (as a reward to the other firm for cooperating in the first game).
a. As a first step toward thinking about whether this policy is credible, consider the situation facing both firms in the second game. If each firm bases its decision on what to do in the second game entirely on the payouts facing the firms in the second game, which strategy will each firm choose in the second game?
- Low-price strategy
b. Now move backward in time one step. Imagine that it is the start of the first game and each firm must decide what to do during the first game. Given your answer to a, is the publicly stated policy credible? (Hint: No matter what happens in the first game, what will both firms do in the second game?)
-No
c. Given your answers to a and b, what strategy will each firm choose in the first game?
-Low-price strategy correct.

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .