Question

Difficulty: MediumElements of Insurable Risk

An entrepreneur constructs a highly experimental, prototype solar-powered facility. When applying for commercial property insurance to cover physical damage to the building, the insurer declines the coverage. The underwriter explains that because this is the only structure of its kind in existence, the insurance company has no historical claims data to rely on and cannot accurately predict the frequency or severity of potential future losses.

Based on the underwriter's explanation, why does this exposure fail to meet the criteria for an ideally insurable risk?

  1. It lacks a large number of homogeneous exposure units needed to make losses statistically predictable.Answer
  2. B
    It represents a speculative financial venture rather than an accidental pure risk.
  3. C
    It creates a morale hazard because the experimental design inherently increases the likelihood of a loss.
  4. D
    It introduces a physical hazard that fundamentally alters the definition of the covered peril.

Answer

It lacks a large number of homogeneous exposure units needed to make losses statistically predictable.
For an insurance company to accept a risk, it must be able to use the Law of Large Numbers to predict future losses. This requires a large pool of similar (homogeneous) exposure units. Because the experimental facility is entirely unique, there is no historical data or group of similar risks to analyze, making the losses statistically unpredictable and therefore uninsurable.

Step-by-Step Solution

1
Analyze the specific reason given by the underwriter for declining the coverage.
The underwriter stated there is no historical data because the building is the 'only structure of its kind,' making it impossible to accurately predict losses.
Identifying the justification for denial points directly to which insurable risk element is missing.
2
Match the underwriter's reasoning to the six core elements of an ideally insurable risk.
The inability to predict losses due to a lack of similar structures corresponds to the requirement that risks must be 'statistically predictable' using a large number of homogeneous (similar) exposure units.
Insurance pricing relies on the Law of Large Numbers, which requires mass data from similar risks to accurately forecast expected losses.

Key Concept

Elements of Insurable Risk: Statistical Predictability
Estimated Time:1m 15s
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