Risk Management and Insurance - Chapter 2

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Questions and Answers

What is a key distinguishing factor between risk and uncertainty?

  • Risk can always be quantified.
  • Probabilities of risk outcomes can be estimated with accuracy. (correct)
  • Uncertainty always leads to loss.
  • Risk is completely predictable.

Which of the following is an example of loss exposure?

  • The likelihood of a customer purchasing a product.
  • A company’s reputation potentially impacted by negative reviews. (correct)
  • The risk involved in formulating new business strategies.
  • The market demand for a product in a specific region.

Objective risk is defined as which of the following?

  • The relative variation of actual loss from expected loss. (correct)
  • The absolute certainty of loss occurring.
  • The fixed probability of loss occurring.
  • The ratio of actual loss to expected loss over time.

In the context of risk management, how can the probability of loss be described?

<p>It varies depending on the nature of the exposure. (C)</p> Signup and view all the answers

Which scenario illustrates the concept of uncertainty?

<p>Assessing the risk of flunking a college course. (A)</p> Signup and view all the answers

What does the law of large numbers imply about the actual loss experience as the number of exposure units increases?

<p>It aligns more closely with the expected loss experience. (B)</p> Signup and view all the answers

Which statement best defines subjective risk?

<p>Uncertainty based on a person's mental state or perception. (D)</p> Signup and view all the answers

What is a key characteristic of objective probability?

<p>It is derived from an infinite number of observations. (D)</p> Signup and view all the answers

Which of the following factors is NOT mentioned as influencing subjective probability?

<p>A person's marital status. (B)</p> Signup and view all the answers

In the example of the lottery ticket, what does the driver believe that impacts their subjective probability of winning?

<p>It is their lucky day. (A)</p> Signup and view all the answers

High subjective risk generally leads to which type of behavior?

<p>Prudence and conservativeness. (C)</p> Signup and view all the answers

Which reasoning method evaluates outcomes based on experiences from finite observations?

<p>Inductive reasoning. (A)</p> Signup and view all the answers

Which technique involves eliminating the risk entirely?

<p>Avoidance (D)</p> Signup and view all the answers

What does loss reduction aim to do?

<p>Minimize the impact of losses (D)</p> Signup and view all the answers

Which risk management strategy involves saving money to cover potential losses?

<p>Self-insurance (D)</p> Signup and view all the answers

Which technique is NOT categorized under risk control?

<p>Retention (D)</p> Signup and view all the answers

What does the term 'noninsurance transfer' refer to in risk management?

<p>Transferring risk to another business entity (D)</p> Signup and view all the answers

What is the focus of risk financing techniques?

<p>Ensuring that funds are available to cover losses (C)</p> Signup and view all the answers

Which risk control method involves using multiple strategies to mitigate risks?

<p>Diversification (A)</p> Signup and view all the answers

What is a key benefit of using risk retention?

<p>Lower insurance premiums (A)</p> Signup and view all the answers

Which of the following is a method of loss prevention?

<p>Increasing safety protocols (C)</p> Signup and view all the answers

What is the definition of chance of loss?

<p>The probability that an event causing a loss will occur (B)</p> Signup and view all the answers

Which statement correctly distinguishes chance of loss from objective risk?

<p>Both chance of loss and objective risk can be the same for different groups. (D)</p> Signup and view all the answers

In the example comparing Los Angeles and Philadelphia, which factor contributed to the higher objective risk in Philadelphia?

<p>Greater annual variation in losses (D)</p> Signup and view all the answers

What does the term 'peril' refer to in the context of risk management?

<p>The cause of loss (C)</p> Signup and view all the answers

Which of the following is an example of a common peril?

<p>Theft (B)</p> Signup and view all the answers

What defines a physical hazard in risk management?

<p>A physical condition that increases the likelihood of a loss (B)</p> Signup and view all the answers

Which of the following best describes moral hazard?

<p>Dishonesty or character defects affecting loss frequency or severity (D)</p> Signup and view all the answers

Why might the chance of loss be identical for two groups but have different objective risks?

<p>The variation in actual loss differs for each group (A)</p> Signup and view all the answers

What happens to objective risk when the variation of actual loss increases?

<p>It increases (D)</p> Signup and view all the answers

Flashcards

Law of Large Numbers

The tendency for actual loss experience to get closer to expected loss experience as the number of insured units increases.

Subjective Risk

Uncertainty based on a person's feelings or perception, not objective facts.

Chance of Loss

The probability that an event will occur.

Objective Probability

Probability based on long-term observation and assuming no change in conditions.

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Deductive Reasoning

Calculating probability based on logic and reason.

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Inductive Reasoning

Calculating probability based on observations and patterns.

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Subjective Probability

An individual's personal estimate of the chance of loss, which may not match objective probability

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Risk

The possibility of a negative outcome. It exists when there's uncertainty about whether a loss will occur.

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Loss Exposure

Something that can be damaged or lead to a loss.

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Risk vs. Uncertainty (Key Difference)

When things are predictable and probabilities can be calculated.

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Risk (in contrast to uncertainty)

A situation where the probabilities of various outcomes are known or can be estimated with reasonable accuracy.

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Risk Avoidance

The strategy of completely avoiding a risk.

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Loss Prevention

Taking steps to reduce the frequency of losses.

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Loss Reduction

Taking steps to reduce the severity of losses.

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Duplication

Keeping a spare or backup of something important in case of loss.

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Separation

Separating assets or operations to reduce the impact of a single loss.

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Diversification

Investing in a variety of assets to reduce the impact of a single loss.

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Risk Retention

The strategy of assuming the financial responsibility for potential losses.

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Self-Insurance

A form of risk retention where a company sets aside funds to cover potential losses.

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Insurance

A contract where a company pays a premium to an insurer in exchange for protection against potential losses.

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Peril

The cause of a loss. This is the event that triggers the damage or injury.

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Hazard

A condition that increases the likelihood or severity of a loss.

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Moral Hazard

A characteristic or condition related to an individual's character or behavior that increases the chance of a loss.

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Physical Hazard

A physical condition that increases the likelihood or severity of a loss.

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Chance of Loss vs. Objective Risk

Chance of loss and objective risk are closely related, but they are not the same. Chance of loss is the probability of a loss happening, while objective risk is the variation of actual loss from expected loss.

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Equal Chance of Loss, Different Objective Risk

Even if two groups have the same chance of loss, their objective risk can differ. This means that while the likelihood of a loss might be equal, the uncertainty around actual losses can vary.

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Importance of Peril and Hazard

Peril and hazard are important concepts in insurance as they influence the likelihood and severity of losses. Identifying and understanding these factors helps insurance companies assess risk and develop appropriate coverage.

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Study Notes

Risk Management and Insurance - Chapter 2

  • Risk Definition: Risk is defined as uncertainty concerning the occurrence of a loss.
  • Historical Definition of Risk: The probability of a possible outcome is known or can be estimated. Uncertainty exists in situations where these probabilities cannot be estimated.
  • Risk vs Uncertainty: Term risk is used when probabilities are known or estimated with accuracy, uncertainty when they aren't.
  • Loss Exposure: A loss exposure is any circumstance in which a loss is possible, whether it occurs or not. Examples include damaged manufacturing plants, lawsuits, theft, and workplace injuries.
  • Objective Risk: Defined as the relative variation of actual loss from expected loss. The more exposure units, the closer the actual loss approaches the expected loss. An example with insurers and house fires is provided.
  • Subjective Risk (Perceived Risk): Defined as uncertainty based on a person's mental condition or state of mind. Subjective risk is closely related to an individual's state of mind. The example provided mentions drunk driving and perceived risk.
  • Chance of Loss: Probability of an event occurring; objective and subjective aspects like risk; deductive and inductive reasoning. Examples demonstrate how calculation, or judgment, of the chance of loss is demonstrated.
  • Objective Probability: The long-run relative frequency of an event; based on infinite observations and unchanging factors. This includes examples of coin tosses and probability.
  • Subjective Probability: A person's estimated chance of a loss based on their own personal judgment. Influenced by a person's age, gender, education, intelligence and experience.
  • Peril: The cause of a loss; examples include house fires, auto collisions.
  • Hazard: A condition that increases the chance or severity of a peril; examples include icy roads, faulty wiring, defective locks.
  • Physical Hazard: A physical condition that increases the frequency or severity of a loss. Examples: icy roads, defective wiring, defective locks.
  • Moral Hazard: Dishonesty or character defects that increase the frequency or severity of a loss. Examples: faking an accident or inflating an insurance claim.
  • Attitudinal Hazard: Carelessness or indifference to a loss, which increases the frequency or severity of a loss; examples provided include leaving car keys in an unlocked car or ignoring safety procedures.
  • Legal Hazard: Refers to legal system or regulatory features that increase risks or loss frequency. Includes adverse judgments, extensive lawsuits, and insurance-related regulations.
  • Types of Risks: Pure risk (only loss or no loss) example - death, accidents, speculative risk (potential profit or loss) examples - investing in real assets. Also Diversifiable risk; Non-diversifiable risk; Enterprise Risk; Systemic Risk.
  • Burden of Risk in Society: Includes emergency funds, loss of goods or services, and worry or fear in society.
  • Techniques for Managing Risk: Risk control; Avoidance, Loss Prevention, Loss Reduction, Duplication, Separation, Diversification. Risk Financing; Self-insurance, Retention, Insurance, Non-insurance transfer, Incorporation of business firms.

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