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nevsk [136]
3 years ago
14

Suppose you have $100 of endowment, and you are offered a chance to buy a lottery which costs $36. The lottery has 43% of chance

to win a prize of $G, or you just lose and get nothing. Suppose your utility function on wealth is u(w)=w^1/2. What is the least prize size G that you will be willing to buy the lottery? (Round to the second digit after decimal point.)
Business
1 answer:
Yuliya22 [10]3 years ago
6 0

Answer:

96.02

Explanation:

Lottery's Expected utility = \sqrt{100} = 10

Income in good state = 100 - 36 + G = 64 + G

Income in bad state = 100 - 36 = 64

Probability in good state = 43%

Probability in bad state = 100% - 43% = 57%

Expected utility = Probability in good state x \sqrt{(64 + G )} + Probability in bad state x \sqrt{64\\}

10 = 43% x \sqrt{(64 + G )} + 57% x 8

10 = 43% x \sqrt{(64 + G )} + 4.56

10 - 4.56 = 43% x \sqrt{(64 + G )}

5.44 = = 43% x \sqrt{(64 + G )}

5.44 / 43% = \sqrt{(64 + G )}

12.65 = \sqrt{(64 + G )}

12.65^{2} = (\sqrt{(64 + G )})^{2}

160.0225 = 64 + G

G = 160.0225 - 64

G = 96.0225

G = 96.02

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Answer:  $350

Explanation:

The expected monetary value is the weighted average of the outcomes.

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50% - Stock Market is average

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Expected Monetary Value = ( 0.25 * 1,000) + (0.5* 600) + ( 0.25 * -800)

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4 years ago
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Answer:

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Explanation:

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8 0
3 years ago
________ measures the percentage of profit earned on each sales dollar before interest and taxes but after all costs and expense
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7 0
3 years ago
When Tim earned​ $65,000 he purchased 10 novels a year. His income has just increased to​ $68,000 and he plans to purchase 15 no
trasher [3.6K]

Answer:

8.88

Explanation:

Data provided in the question:

Initial income, I₁ = $65,000

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Final income, I₂ = $68,000

Final novel purchased, D₂ = 15

Now,

Tim's income elasticity of demand for novels will be

= \frac{(\frac{D_2-D_1}{D_1+D_2})}{(\frac{I_2-I_1}{I_1+I_2})}

on substituting the respective values, we get

= \frac{(\frac{15-10}{10+15})}{(\frac{68,000-65,000}{65,000+68,000})}

= [5 ÷ 25] ÷ [3,000 ÷ 133,000 ]

= 0.2 ÷ 0.0225

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4 years ago
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