Haris Ashley
Insurers prefer to cover pure risks, such as property damage, rather than speculative risks, which are rarely covered. Speculative risks include gambling and investing, and have a chance of profit, loss, or no outcome at all. Pure risks, on the other hand, are due to chance, definite and measurable, statistically predictable, and expose the insurer to large losses without affecting large numbers of policyholders or property. Insurers prefer predictable losses so that they can determine premiums. They also prefer to avoid adverse selection, where a disproportionate share of unhealthy individuals drives up premiums and discourages healthier individuals from opting in. Insurers also face challenges due to an increased need for subject matter experts, an insufficient recruitment rate, and the need to adapt to emerging trends and technologies.
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What You'll Learn
Insurers prefer predictable losses
Insurers need to be able to estimate how often particular losses might occur and the expected severity of these losses. With a large number of policyholders, the actual loss per event will equal the expected loss per event. This is known as the law of large numbers. The law of large numbers is less effective when risk-bearing policyholders are independent of one another, as in health and fire insurance, where diseases and fires can spread from one policyholder to another.
Insurers only cover risks that they deem to be insurable—risks that allow them to yield a profit. An insurable risk must have the prospect of accidental loss, meaning that the loss must be the result of an unintended action and must be unexpected in its timing and impact. It must be "due to chance". Insurers only pay out claims for loss events brought about through accidental means. This definition may vary from state to state.
Insurers cover pure risks, such as property damage, but almost never cover speculative risks, such as gambling and investing. Pure risks embody most or all of the main elements of insurable risk: "due to chance", definiteness and measurability, statistical predictability, lack of catastrophic exposure, random selection, and large loss exposure. Speculative risks have a chance of loss, profit, or the possibility that nothing happens.
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Pure risks are preferred over speculative risks
Insurers prefer pure risks over speculative risks. Pure risks are situations where the only outcome is loss, and they arise from uncontrollable circumstances. They embody most or all of the main elements of insurable risk, such as "due to chance", definiteness and measurability, statistical predictability, lack of catastrophic exposure, random selection, and large loss exposure. On the other hand, speculative risks are situations where there is a possibility of both gain and loss, and they are usually the result of conscious choices.
Pure risks are preferred by insurers because they are more predictable and can be quantified, which is necessary for determining premiums. For example, a car accident will only result in a loss, and there is no chance of gain, making it a pure risk. Insurers can use historical data and statistical models to analyse and predict the likelihood of car accidents and set premiums accordingly.
Speculative risks, such as gambling and investing, are harder to insure because they are voluntary in nature and the outcome is uncertain. While there is a chance of loss, there is also the potential for large gains, making it difficult for insurers to quantify the risk and set appropriate premiums. Speculative risks are also often associated with moral hazard, where the insured party does not guard against risk due to the availability of insurance coverage, increasing the chances of loss.
Insurers typically cover pure risks such as property damage and certain kinds of litigation. Most insurers will not cover speculative risks, and those that do may charge very high premiums to compensate for the high risk and uncertainty.
Overall, insurers prefer pure risks because they are more predictable, easier to quantify, and have a lower potential for large gains, making them less complex to manage and price.
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Insurers avoid catastrophic perils
Insurers avoid risks that are too probable, too catastrophic, or too costly. Catastrophic perils, in particular, are often excluded from standard insurance policies.
There are two types of catastrophic risk. The first occurs when all or many units within a risk group are exposed to the same event. Examples include natural disasters such as earthquakes, hurricanes, and severe convective storms, as well as man-made disasters like terrorist attacks and acts of war. The second type of catastrophic risk involves any unpredictably large loss of value not anticipated by either the insurer or the policyholder. An example of this type of catastrophic event is the terrorist attack on September 11, 2001.
Some insurance companies specialize in catastrophic insurance, and many enter into reinsurance agreements to guard against catastrophic events. However, these policies are typically more expensive due to the higher risk.
In addition to catastrophic perils, insurers also typically avoid speculative risks, such as those related to gambling or investing. These risks are considered uninsurable because the potential for a loss is often greater than the potential for a gain.
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Insurers require proof of loss
A proof of loss is a formal, legal document that initiates the claim process after an insured loss incident. It provides the insurer with specific information about the incident, including its cause, resulting damage, and financial impact. The proof of loss document must be filed as soon as possible after the incident, typically within 60 days, and it must include supporting documentation and a signed statement from the policyholder. Failure to submit a complete and accurate proof of loss form may result in delays, underpayment, or even denial of the insurance claim.
The proof of loss form is crucial for the insurance company to review the claim and determine whether the claimed items are covered by the policy. Once the insurer has received and approved the proof of loss, they can initiate the claims process and send a settlement offer to the policyholder. The policyholder then has the option to review and accept or negotiate the settlement amount.
It is important to note that the insurance company may not automatically send out a proof of loss form, and it may be the policyholder's responsibility to obtain, fill out, and submit the form. Policyholders can seek assistance from public adjusters or insurance claims attorneys to help them accurately complete the proof of loss form and navigate the complex insurance claims process.
In summary, insurers require proof of loss to initiate the claims process and verify the validity and extent of the claimed losses. The proof of loss form is a critical step in the insurance claims process, and it must be completed accurately and in a timely manner to ensure a smooth and efficient resolution of the claim.
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Insurers need to adapt to new technology
The insurance industry has historically been considered conservative and slow to change, but it is now undergoing a significant transformation driven by technology. Insurers are embracing advanced technologies and modifying company cultures to increase collaboration and improve accessibility to customer data. By incorporating digital solutions such as InsurTech, predictive analytics, IoT, chatbots, and AI, insurers are enhancing policyholder autonomy and reshaping the insurance landscape.
InsurTech, in particular, is vital for adapting to new challenges like climate change, as it offers tools for risk assessment and mitigation. AI-powered chatbots, for example, can provide automated assistance, handle policy inquiries, and process claims efficiently. These technologies enable the smooth processing of vast amounts of consumer data, creating personalized experiences and improving the accuracy and efficiency of self-service options.
To effectively integrate new technologies, insurers must foster a culture of innovation, shift mindsets, and build essential capabilities. Employees need to be equipped with the right skills and a clear understanding of AI's role in helping them perform their jobs. Leading insurers implement structured change management programs that emphasize leadership role modeling, clear communication of AI's value, and comprehensive capability-building initiatives.
Insurers that successfully adapt to new technology will be well-positioned to lead in the digital age, offering tailored and efficient services to meet the evolving needs of their customers.
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Frequently asked questions
Insurable risks are pure risks, meaning they are accidental losses that are due to chance, definite, measurable, statistically predictable, and exposed to large losses.
Pure risks are risks that are covered by insurance companies, such as property damage and certain kinds of litigation.
Speculative risks are risks that are not typically covered by insurance companies, such as gambling and investing.
Pure risks are accidental and unexpected, whereas speculative risks have a chance of loss, profit, or no outcome.
Insurers consider the average health care costs of the risk pool, the potential for loss, and the expected health care costs of the risk pool when determining premiums.
