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Zorluk: OrtaElements of Insurable Risk

A marine engineering firm has built a single, highly experimental deep-sea submersible. The firm applies for a commercial property insurance policy to cover the total financial value of the vehicle in the event it is destroyed during its unproven maiden dive. The insurance company declines the application. Based on the fundamental characteristics of an ideally insurable risk, which required element is primarily absent in this scenario?

  1. There must be a sufficiently large number of similar exposure units to statistically predict the chance of loss.Cevap
  2. B
    The situation presents a pure risk, and standard insurance contracts are exclusively designed to cover speculative risks.
  3. C
    The experimental dive constitutes a physical peril, and insurance policies are strictly restricted to covering hazards rather than perils.
  4. D
    The firm is attempting risk transfer, but high-risk unproven activities legally require the applicant to utilize risk retention.

Cevap

There must be a sufficiently large number of similar exposure units to statistically predict the chance of loss.
For an insurer to safely accept a risk, there must be a large enough group of similar exposure units. This allows the insurer to utilize the Law of Large Numbers to accurately predict expected losses and calculate an economically feasible premium. A single, one-of-a-kind experimental prototype has no statistical history, making the risk unpredictable and uninsurable under standard guidelines.

Adım Adım Çözüm

1
Analyze the proposed risk in the scenario.
The firm is attempting to insure a 'single, highly experimental' vehicle with no prior loss history.
Identifying the unique characteristics of the exposure helps determine which insurability rule it violates.
2
Recall the fundamental elements of an ideally insurable risk.
The elements include: accidental/due to chance, definite and measurable, statistically predictable (large number of similar units), non-catastrophic, and economically feasible premium.
Comparing the scenario against the core requirements of insurability reveals why the application was declined.
3
Match the scenario's flaw to the correct missing element.
Because it is a 'one-of-a-kind' item, it lacks a large number of similar exposure units, making the statistical prediction of loss impossible for the insurer.
Insurers rely on the Law of Large Numbers to accurately calculate premiums and anticipate losses.

Anahtar Kavram

Elements of Insurable Risk and the Law of Large Numbers
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Elements of Insurable Risk

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