Apologies for the severe delay.
Next we need to calculate the risk function. This is just the expected return:
E(return) = probability * return
We are told in the question the expected returns based on our decision and the state of nature (success, failure):
company is success company is failure
we choose long +100% -75%
we choose short -50% +50%
So let's work logically through every combination.
Suppose that the company is a success.
Then there is a 60% chance that it outperformed and thus a 40% chance it underperformed.
So for d1 we have E(return) = 60% * +100% + 40% * +100% = 100%
(as in each case we choose long and the return is 100% for long when the company is a success)
For d2 we have E(return) = 60% * +100% + 40% * -50% = 40%
(60% of the time the successful company outperforms and we choose long which gives 100% return, 40% of the time the successful company underperforms and we choose short which gives -50% return).
Similarly we get:
For d3 we have E(return) = 60% * -50% + 40% * +100% = 10%
For d4 we have E(return) = 60% * -50% + 40% * -50% = -50%
Suppose that the company is a failure.
Then there is 40% chance that it outperformed and thus a 60% chance it underperformed.
So for d1 we have E(return) = 60% * -75% + 40% * -75% = -75%
(as in each case we choose long and the return is -75% for long when the company is a failure)
For d2 we have E(return) = 60% * -75% + 40% * +50% = -25%
(60% of the time the successful company outperforms and we choose long which gives 100% return, 40% of the time the successful company underperforms and we choose short which gives -50% return).
Similarly we get:
For d3 we have E(return) = 60% * +50% + 40% * -75% = 0%
For d4 we have E(return) = 60% * +50% + 40% * +50% = +50%
Put these E(returns) in a table of decision (long/short) against states of nature (success/failure) and then you can apply minimax or Bayes like in other questions.