Course: RMIN 4000
Instructor: Daniel Brown
Institution: Terry College of Business, University of Georgia
Year Established: 1785
Insurance is defined as the pooling of fortuitous (unforeseen) losses by transferring such risks to insurers.
Insurers agree to indemnify (compensate) the insured for these losses and provide monetary benefits or render services related to the risk.
Principle: The greater the number of exposures, the more closely actual results will approximate expected results from an infinite number of exposures.
Example: Coin flip - flipping a coin many times leads to results closely aligning with the expected probability of 50% heads.
The process of spreading losses incurred by a few over the entire insured group.
Objective: Reduces variation (measured by standard deviation) and thus decreases uncertainty.
Explanation: Standard deviation measures the average distance of data points from the mean.
Fortuitous: Refers to unforeseen and unexpected incidents occurring by chance.
Example: If an insured person causes an injury intentionally, it is not fortuitous.
Example: Attempting to insure a home right before a hurricane arises does not constitute a fortuitous loss.
Pure risk (uncertain loss that does not involve a gain) is transferred from the insured to the insurer, typically transferring it to a financially stronger entity.
Examples of pure risks transferred to insurers include natural disasters, accidents, or liability claims.
The process of restoring the insured to approximately their financial position prior to the occurrence of the loss.
Large Number of Exposure Units
Essential for predicting average loss using the Law of Large Numbers.
Insurance companies need a significant number of similar exposure units to operate effectively.
Loss Must Be Accidental and Unintentional
Insured must not have control over the loss occurrence.
Importance: The Law of Large Numbers relies on random occurrences.
Loss Must Be Determinable and Measurable
Determinable: Ability to establish if a loss occurred.
Measurable: Ability to quantify the amount of the loss.
Loss Should Not Be Catastrophic
Catastrophic losses (e.g., terrorism, floods) hinder the pooling technique.
Solutions: Insurers may utilize reinsurance and diversification to manage risk.
Chance of Loss Must Be Calculable
Insurers must be able to calculate the average frequency and severity of losses.
Premium Must Be Economically Feasible
The premium must be affordable for the insured, raising questions about insurability at higher risk levels.
Definition: The tendency for individuals with a higher-than-average risk of loss to seek insurance at standard rates.
Consequence: If unchecked by underwriting, this leads to higher than expected loss levels.
Cause: Often results from asymmetric information between parties.
Occurs when one party has information pertinent to a transaction that the other lacks.
Uses a consumer’s credit history to predict future insurance losses.
Not to be confused with a traditional credit score.
Credit-Based Insurance Score: Predicts likelihood of an insurance loss (scores range 300-850).
Credit Score: Predicts likelihood of debt repayment (scores typically 0-1000).
Higher scores represent lower risk for premium calculations.
Insurance Company Premiums:
Poor Score (<400): Higher premiums due to perceived higher risk.
Average Score (400-700): Mid-range premiums.
Excellent Score (>700): Lower premiums for lower risk clients.
Example: Agricultural Insurance Company (AIC) faced challenges by charging average rates yet having high-risk individuals attracted to lower premiums.
Result: Increased claims and accidents led to poor underwriting outcomes.
Life Insurance: Provides death benefits to beneficiaries.
Health Insurance: Covers medical expenses from sickness or injuries.
Property Insurance: Protects against loss/damage of property.
Liability Insurance: Covers legal liabilities arising from damage or injury to others.
Casualty Insurance: Covers various risks not included under other types, such as fire and marine.
Funded largely by contributions from employers/employees.
Focus: Benefits heavily favor low-income groups.
Examples include Social Security, Unemployment, and Medicare.
Various programs at federal and state levels:
Federal Deposit Insurance Corporation (FDIC)
National Flood Insurance Program (NFIP)
Fair Access to Insurance Requirements Plans (FAIR)
Beach and Windstorm Plans