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1. Probability is sometimes defined as
the expected profit of a fair bet.
the most likely outcome of a given experiment.
the outcome that will occur on average for a given experiment.
the relative frequency with which an event will occur.
2. Expected value is defined as
the profit on a fair bet.
the most likely outcome of a given experiment.
the outcome that will occur on average for a given experiment.
the relative frequency with which an event will occur.
3. If a fair gamble is played many times, the combined monetary losses or gains will
result in an outcome that cannot be determined without more information.
4. People who choose not to participate in fair gambles are called
5. A gamble can be described as “fair” if the expected value of the gamble (including any costs of play) is
6. Risk aversion is best explained by
increasing marginal utility of income.
constant marginal utility of income.
decreasing marginal utility of income.
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7. An individual will never buy complete insurance if
he or she is risk averse.
he or she is a risk taker.
insurance premiums are fair.
8. With moral hazard, fair insurance contracts are not viable because
individuals’ aversion to risk is reduced.
insurance company’s administrative costs are increased.
individuals fear unscrupulous agents.
probabilities of loss are increased over what is expected.
9. Risk averse individuals will diversify their investments because this will
increase their expected returns.
provide them with some much-needed variety.
reduce the variability of their returns.
reduce their transactions costs.
10. Suppose a lottery ticket costs $1 and the probability that a holder will win nothing is 90%. What must the jackpot be
for this to be a fair bet?
11. Suppose a lottery ticket costs $1 and the probability that a holder will win nothing is 99%. What must the jackpot be
for this to be a fair bet?
12. Suppose a lottery ticket costs $1 and the probability that a holder will win nothing is 99.9%. What must the jackpot be
for this to be a fair bet?
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13. Suppose a lottery ticket costs $1and has a jackpot of $1,000. What must the probability of winning nothing be if the
bet is fair?
14. Suppose a lottery ticket costs $1and has a jackpot of $1 million. What must the probability of winning nothing be if
the bet is fair?
15. Suppose a family has saved enough for a 10 day vacation (the only one they will be able to take for 10 years) and has
a utility function U = V1/2 (where V is the number of healthy vacation days they experience). Suppose they are not a
particularly healthy family and the probability that someone will have a vacation-ruining illness (V = 0) is 20%. What is
the expected value of V?
16. Continuing with the family from the preceding question, what is their expected utility?
17. Continuing with the same family from the preceding question, what is the greatest (integer) number of vacation days
the family would be willing to give up in order to guarantee a healthy vacation?
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18. Continuing with the same family from the preceding question, suppose a risk neutral insurance company exists to
provide vacation insurance. Suppose further that each vacation day requires a constant expenditure, and this expenditure is
standard across everybody. This allows us to simplify the problem by considering all payments to be in terms of vacation
days. What is the least the insurance company would charge (in terms of vacation days)?
19. Continuing with the same vacation-insurance company from the preceding question, what vacation-day price(s) would
be acceptable to both the family and the insurance company?
20. Continuing with the same vacation-insurance company from the preceding question, is there any vacation-day price
that would both strictly increase the family’s expected utility (compared to no insurance) and strictly increase the profits
of the risk-neutral insurance company?
21. Suppose a family has saved enough for a 10 day vacation (the only one they will be able to take for 10 years) and has
a utility function U = V1/2 (where V is the number of healthy vacation days they experience). Suppose they are not a
particularly healthy family and the probability that someone will have a vacation ruining illness (V = 0) is 30%. What is
the expected value of V?
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22. Continuing with the family from the preceding question, what is their expected utility?
23. Continuing with the same family from the preceding question, what is the greatest (integer) number of vacation days
the family would be willing to give up in order to guarantee a healthy vacation?
24. Continuing with the same family from the preceding question, suppose a risk neutral insurance company exists to
provide vacation insurance. Suppose further that each vacation day requires a constant expenditure, and this expenditure is
standard across everybody. This allows us to simplify the problem by considering all payments to be in terms of vacation
days. What is the least the insurance company would charge (in terms of vacation days)?
25. Continuing with the same vacation-insurance company from the preceding question, what vacation-day price(s) would
be acceptable to both the family and the insurance company?
26. Continuing with the same vacation-insurance company from the preceding question, is there any vacation-day price
that would both strictly increase the family’s expected utility (compared to no insurance) and strictly increase the profits
of the risk-neutral insurance company?
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27. Suppose a risk-neutral power plant needs 10,000 tons of coal for its operations next month. It is uncertain about the
future price of coal. Today it sells for $60 a ton but next month it could be $50 or $70 (with equal probability). How
much would the power plant be willing to pay today for an option to buy a ton of coal next month at today’s price?
(Ignore discounting over the short period of a month.)
28. Continuing with the power plant from the previous question, suppose instead the price of coal next month could be
$54 or $66 (with equal probability). Now how much would it be willing to pay for an option to buy a ton of coal oil next
month at today’s price?
29. Continue with the power plant from the previous question, where again coal currently sells for $60 a ton but will sell
for either $54 or $66 next month with equal probability. Now suppose coal can be stored for a month at the cost of $2 per
ton. How would the new alternative of being able to buy coal at today’s prices and store it affect the amount the power
plant would be willing to pay for an option to buy coal next month at today’s prices?
Increase its willingness to pay for the option.
Decrease its willingness to pay for the option.
Lead it to never pay for the option.
No effect. The new alternative of storing would never be chosen since it is worse than simply waiting and
buying at next month’s uncertain price.
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