When calculating the expected payoff for a new insurance policy, an insurer can accurately use the historical average loss probability for the general population because this represents the most reliable data available.
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In a two-party negotiation, if both parties have complete and accurate information about each other's minimum acceptable outcomes, the final agreed-upon price will always be exactly halfway between their two reservation points.
An insurance company uses historical city-wide data, which shows a 5% annual probability of bicycle theft, to calculate a premium for a new bicycle insurance policy. After one year, they find the actual theft rate among their policyholders was 8%, leading to significantly lower-than-expected profits. Which of the following best explains the discrepancy between the expected and actual theft rates?
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An insurance company offers a policy for a smartphone valued at $1,000. Based on data for the general population, the company assumes a 2% probability of the phone being lost or stolen and sets a premium of $70 for one year of coverage. However, after purchasing the insurance, policyholders as a group become less careful, and the actual probability of a claim rises to 5%. What is the insurer's actual average expected payoff per policy?