6) For the payoff table below, the decision maker will use P(s1) = .15, P(s2) = .5, and P(s3) = .35. s1 s2 s3 d1 -5000 1000 10,000 d2 -15,000 -2000 40,000 (a) What alternative would be chosen according to expected value? (b) For a lottery having a payoff of 40,000 with probability p and -15,000 with probability (1-p), the decision maker expressed the following indifference probabilities. Payoff Probability 10,000 .85 1000 .60 -2000 .53 -5000 .50 Let U(40,000) = 10 and U(-15,000) = 0 and find the utility value for each payoff. (c) What alternative would be chosen according to expected utility? 6) For the payoff table below, the decision maker will use P(s1) =.15, P(s2) = .5, and P(s3) =.35.S1S2S3di-5000100010,000d2-15,000-200040,000а.What alternative would be chosen according to expected value?For a lottery having a payoff of 40,000 with probability p and -15,000 withprobability (1-p), the decision maker expressed the following indifferenceprobabilities.b.ITProbabilityPayoff10,000.851000.60-2000.53-5000.50Let U(40,000) = 10 and U(-15,000) = 0 and find the utility value for each payoff.What alternative would be chosen according to expected utility?c.

The probability of different alternatives s1, s2 and s3 are P(s1)=0.15, P(s2 )=0.50 P(s3)=0.35.

6) For the payoff table below, the decision maker will use P(s1) = .15, P(s2) = .5, and P(s3) = .35. S1 S2 S3 di d2 -5000 1000 10,000 -15,000 -2000 40,000 What alternative would be chosen according to expected value? For a lottery having a payoff of 40,000 with probability p and -15,000 with probability (1-p), the decision maker expressed the following indifference probabilities. а. b. Payoff Probability 10,000 .85 1000 .60 -2000 .53 -5000 .50 Let U(40,000) = 10 and U(-15,000) = 0 and find the utility value for each payoff. What alternative would be chosen according to expected utility? с.

6) For the payoff table below, the decision maker will use P(s1) = .15, P(s2) = .5, and P(s3) = .35. S1 S2 S3 di d2 -5000 1000 10,000 -15,000 -2000 40,000 What alternative would be chosen according to expected value? For a lottery having a payoff of 40,000 with probability p and -15,000 with probability (1-p), the decision maker expressed the following indifference probabilities. а. b. Payoff Probability 10,000 .85 1000 .60 -2000 .53 -5000 .50 Let U(40,000) = 10 and U(-15,000) = 0 and find the utility value for each payoff. What alternative would be chosen according to expected utility? с.

Managerial Economics: A Problem Solving Approach

5th Edition

ISBN:9781337106665

Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor

Publisher:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor

Chapter17: Making Decisions With Uncertainty

Section: Chapter Questions

Problem 2MC

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6) For the payoff table below, the decision maker will use P(s1) = .15, P(s2) = .5, and P(s3) =.35. S1 S2 S3 D1 -5000 1000 10,000 D2 -15,000 -2000 40,000 What alternative would be chosen according to expected value?b. For a lottery having a payoff of 40,000 with probability p and -15,000 withprobability (1-p), the decision maker expressed the following indifferenceprobabilities. Payoff Probability10,000 .851000 .60-2000 .53-5000 .50 Let U(40,000) = 10 and U(-15,000) = 0 and find the utility value for each payoff. c. What alternative would be chosen according to expected utility?
Market Data Rate of Return Standard Deviation Treasury Bills 4.25% 0.00% S&P 500 12.00% 21.00% Required: Using the information in the table above and the varying risk aversions below, please calculate allocations to the risky and risk-free assets. (Use cells A5 to C6 from the given information to complete this question.) Risk Aversion Percent Allocated to the Market (S&P 500) Percent Allocated to Treasury Bills 4.00 2.00 1.50
4.25 The Gorman Manufacturing Company must decide whether to manufacture a component part at its Milan, Michigan, plant or purchase the component part from a supplier. The resulting profit is dependent upon the demand for the product. The following payoff table shows the projected profit (in thousands of dollars): State of Nature Low Demand Medium Demand High Demand Decision Alternative s1 s2 s3 Manufacture, d1 -20 40 100 Purchase, d2 10 45 70 The state-of-nature probabilities are P(s1) = 0.35, P(s2) = 0.35, and P(s3) = 0.30. Use a decision tree to recommend a decision.Recommended decision: Use EVPI to determine whether Gorman should attempt to obtain a better estimate of demand.EVPI: $
1. Individual Problems 18-1 You hold an oral, or English, auction among three bidders. You estimate that each bidder has a value of either $88 or $110 for the item, and you attach probabilities to each value of 50%. The winning bidder must pay a price equal to the second highest bid. The following table lists the eight possible combinations for bidder values. Each combination is equally likely to occur. On the following table, indicate the price paid by the winning bidder. Combination Number Bidder 1 Value Bidder 2 Value Bidder 3 Value Probability Price ($) ($) ($) 1 $88 $88 $88 0.125 2 $88 $88 $110 0.125 3 $88 $110 $88 0.125 4 $88 $110 $110 0.125 5 $110 $88 $88 0.125 6 $110 $88 $110 0.125 7 $110 $110 $88 0.125 8 $110 $110 $110 0.125 The expected price paid is . Suppose that bidders 1 and 2 collude and would be willing to bid up to a maximum of their values, but the two bidders…
Eunice, the industry analyst of H&M, wants to determine the propensity of Major Clothingcompanies toward risk. She was able to determine the utility distribution of H&M, Uniqloand Dickies. For H&M, If the expected payoff of a venture is a loss of 125,000, the utilityvalue is 0.00, if a loss of 75,000, the utility value is .2, if breakeven, the utility value is .5,if gain of 75,000 .8 and if gain of 125,000 utility value is 1. For Uniqlo, if loss of 125,000utility value is 0, if loss of 75,000 utility value is .1, breakeven is .4, if a gain of 75,000,utility value is .7 and if gain of 125,000 utility value is 1. For Dickies, if loss of 125,000,utility value is 0, if loss of 75,000, utility value is .3 breakeven is .6, if gain of 75,000, utilityvalue is .9 and gain of 125,000, utility value is 1. What is the propensity to risk of the threeinternet companies? Explain your graph.
The Gorman Manufacturing Company must decide whether to manufacture a component part at its Milan, Michigan, plant or purchase the component part from a supplier. The resulting profit is dependent upon the demand for the product. The following payoff table shows the projected profit (in thousands of dollars): state of nature low demand medium demnad high demand Decision alternative s1 s2 s3 manufacture d1 -20 40 100 purchase d2 10 45 70 The state-of-nature probabilities are P(s1) = 0.35, P(s2) = 0.35, and P(s3) = 0.30. a. Use expected value to recommend a decision. b. Use EVPI to determine whether Gorman should attempt to obtain a better estimate of demand.
The Gorman Manufacturing Company must decide whether to manufacture a component part at its Milan, Michigan, plant or purchase the component part from a supplier. The resulting profit is dependent upon the demand for the product. The following payoff table shows the projected profit (in thousands of dollars): state of nature low demand medium demnad high demand Decision alternative s1 s2 s3 manufacture d1 -20 40 100 purchase d2 10 45 70 The state-of-nature probabilities are P(s1) = 0.35, P(s2) = 0.35, and P(s3) = 0.30. a. A test market study of the potential demand for the product is expected to report either a favourable (F) or unfavourable (U) condition. The relevant conditional probabilities are as follows: P(F|S1)=0.10 P (U|S1)=0.90 P(F|S2)=0.40 P (U|S2)=0.60 P(F|S3)=0.60 P (U|S3)=0.40 A.Compute the probabilities by completing the table Sate of…
The Gorman Manufacturing Company must decide whether to manufacture a component part at its Milan, Michigan, plant or purchase the component part from a supplier. The resulting profit is dependent upon the demand for the product. The following payoff table shows the projected profit (in thousands of dollars): state of nature low demand medium demnad high demand Decision alternative s1 s2 s3 manufacture d1 -20 40 100 purchase d2 10 45 70 The state-of-nature probabilities are P(s1) = 0.35, P(s2) = 0.35, and P(s3) = 0.30. a. A test market study of the potential demand for the product is expected to report either a favourable (F) or unfavourable (U) condition. The relevant conditional probabilities are as follows: P(F|S1)=0.10 P (U|S1)=0.90 P(F|S2)=0.40 P (U|S2)=0.60 P(F|S3)=0.60 P (U|S3)=0.40 What is the expected value of the market research information?…
The Gorman Manufacturing Company must decide whether to manufacture a component part at its Milan, Michigan, plant or purchase the component part from a supplier. The resulting profit is dependent upon the demand for the product. The following payoff table shows the projected profit (in thousands of dollars): state of nature low demand medium demnad high demand Decision alternative s1 s2 s3 manufacture d1 -20 40 100 purchase d2 10 45 70 The state-of-nature probabilities are P(s1) = 0.35, P(s2) = 0.35, and P(s3) = 0.30. a. A test market study of the potential demand for the product is expected to report either a favourable (F) or unfavourable (U) condition. The relevant conditional probabilities are as follows: P(F|S1)=0.10 P (U|S1)=0.90 P(F|S2)=0.40 P (U|S2)=0.60 P(F|S3)=0.60 P (U|S3)=0.40 A.Compute the probabilities by completing the table Sate of…
Exercise 3: Risky Investment Charlie has von Neumann-Morgenstern utility function u(x) = ln x and has wealth W = 250, 000. She is offered the opportunity to purchase a risky project for price P = 160, 000. 1 1 With probability p = 2 the project will be a success and return V > 160, 000. With probability 1 −p = 2 the project will fail and be worthless (i.e. it returns 0). For simplicity assume there is no interest between the time of the investment and the time of its return, that is r = 0 . How large must V be in order for Charlie to want to purchase the risky project? [Hint: What is Charlie’s expected utility is she does not purchase the project? What is Charlie’s expected utility is she purchases the project?]
Find the values of Absolute Risk Aversion (ARA) and Relative Risk Aversion (RRA) for all the cases below. . U(C) = C0.5. . U(C) = C2. . U(C) = 5×C. . U(C) = -C-2. . U(C) = -C-7. . U(C) = -e-7C. . U(C) = [1/(1-a)]×C1-a , where a is a constant.
"Jay, a writer of novels, just has completed a new thriller novel. A movie company and a TV network both want exclusive rights to market his new title. If he signs with the network, he will receive a single lump sum of $1,480,000, but if he signs with the movie company, the amount he will receive depends on how successful the movie is at the box office.The probability of a small box office earning $203,000 is 0.27. The probability of a medium box office of $1,660,000 is 0.49, and the probability of a large box office of $2,950,000 is 0.24.Jay can send his novel to a prominent movie critic to assess the potential box office success. It will cost $20,000 to get the novel evaluated by the movie critic.The movie critic can have either a favorable or unfavorable opinion. The movie critic's reliability of predicting box office success is as follows.If the movie will have a large box office, there is a 0.75 probability the critic will have a favorable opinion.If the movie will have a medium…