Principles of Insurance Flashcards
Law of Large Numbers
The mathematical foundation of insurance known as the Law of Large Numbers, explains how losses can be predicted.
Savings feature of life insurance
Interest credited to policy cash values is typically tax deferred. This fact enhances the attractiveness of the contract as a savings vehicle.
What are conditions for Self-Insurance
To self insure a firm must set up a sound program with the following requirements.
Law of Large Numbers - The firm should be big enough to combine sufficiently large numbers of exposure units so as to make a loss predictable.
Be financially dependable - The firm should be able to accumulate funds to meet losses that may occur. Also, the firm needs to cover losses if they occur more frequently than predicted.
Geographic distribution of risk in the event of a catastrophe.
Direct loss
Direct losses are the immediate, or first, result of an insured peril. For example, if a fire destroys a home, the loss of the home is the direct loss.
Indirect loss
Indirect losses, also called consequential losses (such as loss of use), are a secondary result of an insured peril. If a tornado destroys a restaurant, the property damage is the direct loss. The loss of income during the period when the business is being reestablished is the indirect loss.
Hazard
Hazards are conditions that increase the probability of loss from a peril, by increasing either the frequency or the severity of potential losses. For example, every home faces the peril of destruction by fire. Storing oily rags near the home’s furnace would be an example of a hazard. There are 4 types of hazards.
Physical Hazards - involve physical characteristics such as type of construction, location, occupancy of building, having frayed wires on plugs, steep stairs with no railing, or smoking in bed.
Moral Hazards - involve dishonest tendency such as exaggerating losses in a theft claim or auto insurance fraud (e.g. two cars intentionally bump each other with many passengers claiming injury).
Morale Hazards - involve an increase in losses due to knowledge of insurance coverage such as having a different attitude toward a loss because the loss will be covered by an insurance company (e.g. leaving a car unlocked, ordering unnecessary medical tests, or a jury’s tendency to grant larger amounts of money in situations where an insurer will have to pay).
Legal Hazards - involve increased frequency and severity of losses such as legislative action (e.g. ADA requirements or mandated insurance coverages).
Peril
A peril is defined as the cause of the loss. For example, fires, tornadoes, heart attacks, and criminal acts constitute perils.
Proximate cause
The proximate cause of a loss is the first peril in a chain of events resulting in a loss. Without proximate cause, the loss would not have occurred.
Risk
Risk may be defined as the variation in possible outcomes of an event based on chance. This definition of risk is a useful one because it focuses attention on the degree of risk in given situations.
Degree of risk
The degree of risk is a measure of the accuracy with which the outcome of an event based on chance can be predicted.
Pure risk
Pure risk refers to possibilities that can result in only loss or no change. Insurance deals with pure risk that exists only when a chance of loss/no loss is possible. Man-made speculative risks such as the stock market and gambling are not suitable for coverage.
Speculative risk
Speculative risk refers to those exposures to price change that may result in gain or loss. Most investments, including stock market investments, are classified as speculative risks.
Law of Large Numbers
Insurance pools reduce risk by applying a mathematical principle called the law of large numbers. Simply put, the law states that the greater the number of observations of an event based on chance, the more likely the actual result will approximate the expected result.
Adverse selection
When one party to a transaction has more relevant information or more control of outcomes than another party to the transaction, the party with superior information or control can take advantage of the situation. Insurance scholars call the possession of asymmetric information adverse selection.
Adverse selection is also defined as the actions of individuals acting for themselves or others, who are motivated directly or indirectly to take financial advantage of a risk classification system. For example, adverse selection occurs when people who know their health is deteriorating try to purchase health insurance to cover the cost of a needed operation. Another example would involve a person trying to purchase fire insurance immediately after an arsonist threatened his property.
Risk Management process
The risk management process involves the identification, measurement and treatment of property, liability and personal loss exposures.
Establish risk management objectives
Gather information
Analyze information
Develop the risk management plan
Implement the risk management plan
Monitor and revise the risk management plan.
Responses to risk
Risk Avoidance
Risk Reduction
Risk Transfer
Risk Retention
Risk Diversification