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You can insure a \(\$ 50,000\) diamond for its total value by paying a premium of \(D\) dollars. If the probability of loss in a given year is estimated to be .01 , what premium should the insurance company charge if it wants the expected gain to equal \$1000?

Short Answer

Expert verified
Answer: The insurance company should charge a premium of approximately $1,515.15 to achieve an expected gain of $1,000 per year.

Step by step solution

01

Write down the given information

We are given the following information: - Value of the diamond: \$50,000 - Probability of loss in a given year: 0.01 - Desired expected gain for the insurance company: \$1,000
02

Develop the expected gain formula

We know the expected gain formula is as follows: Expected gain = (Probability of no loss)*(Premium) - (Probability of loss)*(Payout) Since we want the expected gain to be $1000, we can rewrite the formula as: 1000 = (Probability of no loss)*(Premium) - (Probability of loss)*(Payout)
03

Plug in the given probabilities

Since the probability of loss is 0.01, the probability of no loss would be (1 - Probability of loss) = 0.99. We also know that the payout would be the full value of the diamond, which is \$50,000, so we can plug these values into the formula: 1000 = (0.99)*(Premium) - (0.01)*(\$50,000)
04

Solve for the premium

We can now solve the equation for the premium (D): 1000 = (0.99)*D - 500 Adding 500 to both sides gives: 1500 = 0.99*D Dividing both sides by 0.99 gives: D ≈ \$1,515.15
05

Interpret the result

The insurance company should charge a premium of approximately \$1,515.15 for insuring the diamond to achieve an expected gain of \$1,000 per year.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Insurance Premium
An insurance premium is an amount of money you pay to an insurance company in exchange for coverage over certain risks. This payment typically occurs on a regular basis, like monthly or annually. In this exercise, the premium is the sum paid to protect a valuable item like a diamond against potential loss or damage.

For the insurer, setting the right premium is a balancing act. They must ensure it covers the risk of a payout while also providing them with a profit. Premiums are calculated based on information such as:
  • The value of the item being insured
  • The probability of a loss occurring
  • The desired profit (or expected gain) for the insurer
In this scenario, the goal was to find the appropriate premium that results in an expected gain of $1,000 for the insurer.
Probability of Loss
The probability of loss refers to the likelihood that an insured event, such as the theft or destruction of the diamond in this exercise, will occur. It's a critical component in determining insurance premiums.

This probability is expressed as a number between 0 and 1, where 0 means there's no chance of loss and 1 indicates certainty of loss. In this example, a 0.01 probability of loss means there's a 1% chance that the diamond will be lost or damaged within a year. The insurance company uses this probability to calculate both risk and appropriateness of the premium.

Understanding probability helps insurers estimate their potential liability or payout, allowing them to adjust their premium rates effectively.
Expected Value Formula
The expected value formula in insurance deals with calculating the anticipated value of future gains or losses. It enables insurers to make informed pricing decisions for their policies. The formula in this exercise aims to establish what the insurance company stands to gain:

\[\text{Expected Gain} = (\text{Probability of No Loss} \times \text{Premium}) - (\text{Probability of Loss} \times \text{Payout})\]In the exercise, the expected gain is targeted to be \(1,000. The only unknown is the premium.
  • Probability of no loss is calculated as 1 minus the probability of loss, giving us 0.99.
  • Payout is the total value of the item, in this case, \)50,000.
This equation helps determine the premium by solving for it, ensuring the calculated amount provides the insurer with the desired gain while covering potential claims.

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Most popular questions from this chapter

A CEO is considering buying an insurance policy to cover possible losses incurred by marketing a new product. If the product is a complete failure, a loss of \(\$ 800,000\) would be incurred; if it is only moderately successful, a loss of \(\$ 250,000\) would be incurred. Insurance actuaries have determined that the probabilities that the product will be a failure or only moderately successful are .01 and \(.05,\) respectively. Assuming that the CEO is willing to ignore all other possible losses, what premium should the insurance company charge for a policy in order to break even?

Medical case histories indicate that different illnesses may produce identical symptoms. Suppose a particular set of symptoms, which we will denote as event \(H,\) occurs only when any one of three illnesses \(-A, B\), or \(C\) - occurs. (For the sake of simplicity, we will assume that illnesses \(A\), \(B\), and \(C\) are mutually exclusive.) Studies show these probabilities of getting the three illnesses: $$\begin{array}{l}P(A)=.01 \\\P(B)=.005 \\\P(C)=.02\end{array}$$ The probabilities of developing the symptoms \(H\), given a specific illness, are $$\begin{array}{l}P(H \mid A)=.90 \\\P(H \mid B)=.95 \\\P(H \mid C)=.75\end{array}$$ Assuming that an ill person shows the symptoms \(H\), what is the probability that the person has illness \(A\) ?

Suppose that \(P(A)=.4\) and \(P(B)=.2\). If events \(A\) and \(B\) are independent, find these probabilities: a. \(P(A \cap B)\) b. \(P(A \cup B)\)

Experience has shown that, \(50 \%\) of the time, a particular unionmanagement contract negotiation led to a contract settlement within a 2 -week period, \(60 \%\) of the time the union strike fund was adequate to support a strike, and \(30 \%\) of the time both conditions were satisfied. What is the probability of a contract settlement given that the union strike fund is adequate to support a strike? Is settlement of a contract within a 2 -week period dependent on whether the union strike fund is adequate to support a strike?

Suppose that, in a particular city, airport \(A\) handles \(50 \%\) of all airline traffic, and airports \(B\) and \(C\) handle \(30 \%\) and \(20 \%,\) respectively. The detection rates for weapons at the three airports are \(.9, .8,\) and \(.85,\) respectively. If a passenger at one of the airports is found to be carrying a weapon through the boarding gate, what is the probability that the passenger is using airport \(A\) ? Airport \(C\) ?

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