Transferring Losses
The concept of risk is why insurance exists. You might go an entire year with no auto accidents, but a single collision could still create $50,000 or more in property damage and liability. Risk is part of life, and even spending a great deal of money can’t eliminate it completely.
The only way to eliminate auto-related injuries is to eliminate automobiles. So a practical response to risk usually combines two steps:
- Reduce the risk when you can.
- Buy insurance to cover the risk that remains.
In exchange for a premium, the insurer pays a claim if a specified contingency - such as property damage, theft, or liability - occurs. The insurer can offer this protection by pooling the risks of a large group of similarly situated individuals (called exposure units). With a large pool, the laws of probability make overall losses more predictable.
For example, suppose 100,000 individuals each independently face a .5% risk of a loss in a year. On average, 500 people will have losses. If each of the 100,000 people pays a premium of $1,000, the insurer collects $100 million total. That would be enough to pay $200,000 to each person who has a loss (assuming 500 people have a loss). In practice, insurers also build premiums to cover administrative costs, reserves, and profit margins.
Insurance works through the statistical concept of the Law of Large Numbers. This law says that as the number of exposure units increases, actual results tend to get closer to expected results. For instance, with a pool of 100,000 people who each face a .5% risk, the Law of Large Numbers dictates that 500 people or more will have losses during the same period only 1 time in 1,000.
Insurance is a business, and it only works for companies that can stay financially strong while paying claims. Insurance helps you manage risk by protecting you from losses that could seriously affect your financial future. The Law of Large Numbers helps insurers by making the total amount of claims they’ll pay from year to year reasonably predictable.
A coin flip is a simple way to see this idea. The probability of heads is 50%, and the probability of tails is 50%. But suppose you flip a coin 10 times and it lands on heads 9 times. Does that mean the calculated probability was wrong?
No. With a small sample (like 10 flips), actual results can vary a lot from what you’d expect. If you flipped the coin 10 million times, the results would be much closer to 50% heads and 50% tails.
Even though predicting future losses with some accuracy is essential to insurance, some perils are difficult to predict. When these perils cause losses, they may not create a stable pattern that insurers can rely on for future estimates. In a hurricane, airplane crash, or epidemic, many losses can occur at the same time.
Insurers manage these risks in several ways:
- They spread risk across individuals and across time, building reserves in good years to help pay heavier claims in bad years.
- They use tools such as reinsurance and catastrophe bonds.
- They may rely on government programs such as the National Flood Insurance Program (NFIP) and the Terrorism Risk Insurance Act (TRIA).
- They diversify across lines of insurance (for example, selling both health insurance and homeowners’ insurance).
Another basic rule of insurance is that before someone can benefit from insurance, that person must face the possibility of economic loss if a claim occurs against the life or property being insured. This requirement is called insurable interest.
Insurers recognize 3 situations that constitute insurable interest:
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An individual always has an insurable interest in his/her own life. Therefore, anyone (who is legally capable of doing so) may apply for an insurance policy on themselves.
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Insurable interest exists in the life of an immediate family member or marital partner (close kinship). Insurable interest also exists if there is a financial relationship (business partner, key person, or debtor).
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Insurable interest need only exist at time of application with life insurance. Once the policy has been issued, the insurer must pay the death benefit at the time of claim, even if the insurable interest no longer exists.
Not every risk can be transferred through insurance. Insurable risks have characteristics that make losses fairly predictable, which allows insurers to prepare for the losses that do occur. For a risk to be acceptable to a conventional insurance company, it must meet the following criteria:
1) Loss must be uncertain
Insurance is designed to offset the financial loss of a covered event. The need for insurance comes from not knowing what will happen to a particular exposure unit. If a future loss is certain, it isn’t insurable.
With life insurance, the uncertainty isn’t whether someone will die, but when the person will die and what financial obligations will remain at that time. With property and casualty insurance, the uncertainty is whether a loss such as fire, theft, or collision will occur.
2) Large number of exposure units
Insurers can’t predict exactly who will die or have a loss, but with data from a large group, they can estimate with reasonable accuracy how many losses are likely to occur during a given period. The larger the group, the more accurate the prediction tends to be. This is how the Law of Large Numbers helps insurers set premiums that support financial strength while still paying claims.
3) Loss must pose an economic hardship
If the potential loss isn’t large enough to justify the premium and the insurer’s underwriting expenses, the risk isn’t insurable.
4) Loss must be ascertainable
The loss must be measurable.
- With life insurance, monetary value is placed on the insured’s ability to earn an income or on the needs of his/her survivors.
- With health insurance, economic loss is measured by lost wages or by actual medical expenses incurred.
- With property insurance, the loss is measured by the reduction in property value or the cost to repair or replace the damaged property.
5) Loss must be accidental and unintentional
Intentional acts or predictable events aren’t insurable. Insurance covers unforeseen and unplanned occurrences.
6) Loss must not be catastrophic to the insurer
The loss must not affect a large number of exposure units simultaneously. Catastrophic losses (such as war or widespread natural disasters) are typically excluded or managed through reinsurance.
Perils and Hazards
Perils and hazards are closely related to risk.
- A peril is the specific cause of a loss - the event being insured against. With life insurance, the peril is death. With property insurance, the peril may be fire, theft, or collision.
- A hazard is a condition or factor that increases the chance that a peril will occur or increases the severity of the loss. For example, faulty wiring is a hazard that increases the likelihood of a fire.
When someone applies for life or health insurance, the insurer considers the hazards the applicant may face and how those hazards relate to the peril being insured against. There are 3 types of hazards insurers focus on:
- Physical
- Moral
- Morale
Physical hazards include factors such as a person’s weight, medical history, and occupation. A moral hazard involves dishonesty, such as lying about medical history, occupation, or hobbies, or committing fraud (for example, staging an accident). Morale hazards are more subjective and involve carelessness or indifference because insurance exists - for example, leaving doors unlocked because the property is insured.
Lesson Summary
Insurance operates by pooling funds from many individuals facing similar risks to cover financial losses when specific events occur through contractual agreements. Key concepts in insurance are:
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The Law of Large Numbers forms the statistical basis for insurance operations by enabling companies to predict claims with reasonable accuracy by pooling risks across a large group.
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Insurable interest is needed for a person to benefit from insurance, with requirements including having a financial stake in the insured event.
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Perils are the causes of losses, while hazards are factors promoting these losses, with insurers considering physical, moral, and morale hazards in assessing risks.
Insurance helps manage financial risk for individuals, while insurers rely on pooling and statistical predictability to remain financially viable and pay covered claims.