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19.1 Payoff Tables and Decision Trees

19.1 Payoff Tables and Decision Trees

19.1 Payoff Tables and Decision Trees

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FIGURE 19.4<br />

Expected monetary value<br />

<strong>and</strong> st<strong>and</strong>ard deviation<br />

worksheet results for<br />

stock selection problem<br />

Figure 19.4 displays the<br />

COMPUTE worksheet of the<br />

Expected Monetary Value<br />

workbook. Create this<br />

worksheet using the<br />

instructions in Section EG19.2.<br />

Problems for Section 19.2<br />

LEARNING THE BASICS<br />

19.6 For the following payoff table, the probability of event<br />

1 is 0.5, <strong>and</strong> the probability of event 2 is also 0.5:<br />

ACTION<br />

EVENT A ($) B ($)<br />

1 50 100<br />

2 200 125<br />

a. Determine the optimal action based on the maximax<br />

criterion.<br />

b. Determine the optimal action based on the maximin<br />

criterion.<br />

c. Compute the expected monetary value (EMV) for actions<br />

A <strong>and</strong> B.<br />

d. Compute the expected opportunity loss (EOL) for actions<br />

A <strong>and</strong> B.<br />

e. Explain the meaning of the expected value of perfect<br />

information (EVPI) in this problem.<br />

19.2 Criteria for <strong>Decision</strong> Making 15<br />

f. Based on the results of (c) or (d), which action would you<br />

choose? Why?<br />

g. Compute the coefficient of variation for each action.<br />

h. Compute the return-to-risk ratio (RTRR) for each action.<br />

i. Based on (g) <strong>and</strong> (h), what action would you choose? Why?<br />

j. Compare the results of (f) <strong>and</strong> (i) <strong>and</strong> explain any<br />

differences.<br />

19.7 For the following payoff table, the probability of event<br />

1 is 0.8, the probability of event 2 is 0.1, <strong>and</strong> the probability<br />

of event 3 is 0.1:<br />

ACTION<br />

EVENT A ($) B ($)<br />

1 50 10<br />

2 300 100<br />

3 500 200<br />

a. Determine the optimal action based on the maximax<br />

criterion.

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