Insurance involves pooling funds from many insured entities (known as exposures) to pay for the losses that some may incur. The insured entities are therefore protected from risk for a fee, with the fee being dependent upon the frequency and severity of the event occurring. In order to be an insurable risk, the risk insured against must meet certain characteristics. Insurance as a financial intermediary is a commercial enterprise and a major part of the financial services industry, but individual entities can also self-insure through saving money for possible future losses.
Accidental loss: The event that constitutes the trigger of a claim should be fortuitous, or at least outside the control of the beneficiary of the insurance. The loss should be pure, in the sense that it results from an event for which there is only the opportunity for cost. Events that contain speculative elements such as ordinary business risks or even purchasing a lottery ticket are generally not considered insurable.
At the most basic level, initial ratemaking involves looking at the frequency and severity of insured perils and the expected average payout resulting from these perils. Thereafter an insurance company will collect historical loss data, bring the loss data to present value, and compare these prior losses to the premium collected in order to assess rate adequacy. Loss ratios and expense loads are also used. Rating for different risk characteristics involves at the most basic level comparing the losses with "loss relativities"—a policy with twice as many losses would therefore be charged twice as much. More complex multivariate analyses are sometimes used when multiple characteristics are involved and a univariate analysis could produce confounded results. Other statistical methods may be used in assessing the probability of future losses.
Many insurance executives are opposed to patenting insurance products because it creates a new risk for them. The Hartford insurance company, for example, recently had to pay $80 million to an independent inventor, Bancorp Services, in order to settle a patent infringement and theft of trade secret lawsuit for a type of corporate owned life insurance product invented and patented by Bancorp.
In July 2007, The Federal Trade Commission (FTC) released a report presenting the results of a study concerning credit-based insurance scores in automobile insurance. The study found that these scores are effective predictors of risk. It also showed that African-Americans and Hispanics are substantially overrepresented in the lowest credit scores, and substantially underrepresented in the highest, while Caucasians and Asians are more evenly spread across the scores. The credit scores were also found to predict risk within each of the ethnic groups, leading the FTC to conclude that the scoring models are not solely proxies for redlining. The FTC indicated little data was available to evaluate benefit of insurance scores to consumers. The report was disputed by representatives of the Consumer Federation of America, the National Fair Housing Alliance, the National Consumer Law Center, and the Center for Economic Justice, for relying on data provided by the insurance industry.
For example, life insurance companies may require higher premiums or deny coverage altogether to people who work in hazardous occupations or engage in dangerous sports. Liability insurance providers do not provide coverage for liability arising from intentional torts committed by or at the direction of the insured. Even if a provider desired to provide such coverage, it is against the public policy of most countries to allow such insurance to exist, and thus it is usually illegal.
Insurers will often use insurance agents to initially market or underwrite their customers. Agents can be captive, meaning they write only for one company, or independent, meaning that they can issue policies from several companies. The existence and success of companies using insurance agents is likely due to improved and personalized service. Companies also use Broking firms, Banks and other corporate entities (like Self Help Groups, Microfinance Institutions, NGOs, etc.) to market their products.
NerdWallet averaged rates for 40-year-old men and women for 20 ZIP codes in each state and Washington, D.C., from the largest insurers, up to 12 in each state. “Good drivers” had no moving violations on record and credit in the “good” tier as reported to each insurer. For the other two driver profiles, we changed the credit tier to “poor” or added one at-fault accident, keeping everything else the same. Sample drivers had the following coverage limits: