2. Risk, Uncertainty and Insurability

Introduction and Context

Insurance begins with a practical problem: individuals, firms, and societies face events whose consequences may be financially damaging, yet whose occurrence cannot always be predicted with certainty. A factory may burn, a ship may be damaged in transit, a driver may injure a third party, or a professional may face a liability claim. Insurance does not eliminate these events. It rearranges their financial consequences by transferring specified risks to an insurer in exchange for a premium.

A sound understanding of insurance therefore requires more than memorising the definition of risk. It requires distinguishing risk from uncertainty, identifying the sources of loss, understanding why some risks are insurable and others are not, and recognising how risk-management decisions influence underwriting, pricing, claims, and organisational resilience. These issues are particularly important for insurance managers because the quality of an insurance decision depends on the quality of the underlying risk assessment.

The concepts in this chapter provide the foundation for later study of underwriting, premium rating, policy conditions, claims management, reinsurance, and enterprise risk management. They also show why insurance is not simply a product purchased after a risk has arisen. It is part of a broader process of identifying, analysing, controlling, financing, and monitoring uncertainty.

Learning Objectives

After studying this chapter, the learner should be able to:

1. Explain the relationship between risk, uncertainty, probability, and loss.

2. Classify risks as pure, speculative, fundamental, or particular.

3. Distinguish peril, hazard, loss exposure, and risk appetite.

4. Explain the principal criteria used to assess insurability.

5. Apply the risk-management process to personal, commercial, and institutional situations.

6. Evaluate the managerial, ethical, regulatory, and technological implications of risk selection and risk transfer.

7. Analyse an applied case involving risk identification, mitigation, and insurance.

Risk, Uncertainty and Loss: The Conceptual Foundation

Risk and uncertainty

Risk is commonly described as the possibility of an undesirable outcome. In insurance, however, risk has a more precise meaning. It may refer to uncertainty concerning the occurrence of a loss, uncertainty concerning the amount of a loss, or the object exposed to loss. Thus, the word may describe both a condition and the subject of that condition. A warehouse containing combustible materials is a risk in the practical insurance sense; the possibility that it will suffer fire damage is also referred to as risk.

Uncertainty is a broader concept. It exists whenever the future cannot be known with complete confidence. Frank H. Knight’s distinction is useful: measurable uncertainty is often called risk, while uncertainty that cannot be estimated reliably is referred to as true uncertainty. Insurance depends heavily on measurable or at least estimable uncertainty. Insurers use historical experience, exposure data, actuarial models, engineering surveys, and claims information to estimate frequencies and severities.

The distinction is not absolute. A newly emerging risk may initially be highly uncertain because data are limited. Over time, experience and research may make it more measurable. Conversely, a familiar risk may become difficult to model when social, technological, climatic, or legal conditions change rapidly.

Probability and expected loss

Probability expresses the likelihood of an event. Frequency measures how often events occur in relation to the number of exposures, while severity measures the financial magnitude of a loss when it occurs. For example, a portfolio may experience relatively frequent minor vehicle claims and infrequent but severe industrial fires.

A basic expected-loss calculation is:

Expected loss = Probability of loss × Amount of loss

If a loss of ₹10 million has an estimated probability of 1 per cent in a year, its expected loss is ₹100,000. This calculation is not a prediction that the loss will actually occur, nor does it fully determine the premium. Premiums must also reflect expenses, capital requirements, reinsurance costs, taxes, uncertainty in estimates, profit objectives, and the insurer’s risk appetite.

Loss and financial consequence

A loss is an undesirable reduction in economic value. It may involve property damage, bodily injury, death, legal liability, loss of income, additional expenses, or impairment of an intangible interest. Insurance generally responds to financial consequences rather than to the emotional or social significance of an event alone.

Losses may be direct or indirect. Direct loss is the immediate physical or financial consequence of a peril, such as damage to a machine by fire. Indirect loss follows from the direct loss, such as lost profit during the period in which the machine is repaired. Many insurance policies cover both, but only when the relevant coverage is expressly provided and its conditions are satisfied.

Classification of Risk

Classification helps managers determine the appropriate method of treatment. A single exposure may fall into more than one classification depending on the purpose of analysis.

Pure and speculative risk

Pure risk exists when the possible outcomes are loss or no loss. There is no prospect of gain from the occurrence of the event. Fire, theft, accidental injury, premature death, and legal liability are common examples. Pure risks are the traditional domain of insurance because a sufficiently large group of similar exposures can be analysed statistically.

Speculative risk involves the possibility of loss, no change, or gain. Investment in shares, launching a new product, foreign exchange transactions, and business expansion involve speculative risk. Commercial insurance generally does not cover the normal possibility of profit or loss arising from entrepreneurial decisions. Nevertheless, speculative activities may generate pure risks that are insurable. A business expansion may create property, liability, cyber, or employee injury exposures even though the business decision itself is speculative.

The distinction is important but not rigid. Market conditions can convert a business opportunity into a loss exposure, while some financial contracts may transfer specific forms of market risk. Insurance managers must examine the precise event and financial interest rather than rely only on the label attached to an activity.

Fundamental and particular risk

A fundamental risk affects large sections of society or arises from broad economic, social, environmental, or political conditions. Examples include widespread natural disasters, inflation, unemployment, war, systemic financial crises, and certain pandemics. The consequences are not confined to one individual or organisation.

A particular risk affects an individual, household, firm, or relatively small group. A burglary at one shop, a collision involving one vehicle, or a professional negligence claim against one consultant is a particular risk.

Particular risks are usually more suitable for private insurance because the insurer can identify the exposure, collect premium from a defined group, and diversify losses. Fundamental risks may require government intervention, public-private arrangements, catastrophe pools, compulsory schemes, or international cooperation. They may also be difficult to insure because many policyholders can suffer losses at the same time, creating accumulation and solvency problems.

Static and dynamic risk

Static risks arise from relatively stable conditions or dishonest and accidental behaviour, such as theft, fire, or physical deterioration. Dynamic risks result from changes in technology, consumer preferences, regulation, competition, demographics, or economic conditions. Dynamic risks often contain speculative elements and are less readily insured, although the pure-risk consequences associated with them may be covered.

Diversifiable and non-diversifiable risk

A diversifiable risk affects exposures independently or only weakly in relation to one another. An insurer can reduce the impact of individual losses by combining many exposures. A non-diversifiable or systemic risk affects many exposures simultaneously. Correlated losses reduce the effectiveness of pooling and require stronger capital, reinsurance, exclusions, deductibles, or public support.

Peril, Hazard and Loss Exposure

Risk analysis becomes more precise when the causes and conditions of loss are separated.

Peril

A peril is the immediate cause of loss. Fire, flood, collision, theft, earthquake, illness, and liability claims may be perils depending on the context. A policy may be written on a named-peril basis, covering only listed causes, or on an all-risks basis, covering accidental physical loss unless excluded.

The distinction between covered and excluded perils is a central issue in claims. A loss is not automatically covered merely because it is accidental. The policy wording, insured interest, exclusions, conditions, limits, and causation principles must be examined.

Hazard

A hazard is a condition that increases the probability or severity of loss, or makes the consequences more serious. Hazards are commonly classified as follows:

• Physical hazard: a material condition such as defective wiring, inadequate fire protection, poor road design, or unsafe machinery.
• Moral hazard: dishonesty or intentional behaviour that increases the likelihood of a claim, such as deliberately causing damage or exaggerating a loss.
• Morale hazard: carelessness or indifference arising because a person expects insurance to bear the consequences, such as leaving an insured vehicle unlocked.
• Legal or regulatory hazard: laws, court decisions, regulatory practices, or contractual rules that increase uncertainty or the potential size of claims.

Hazards should not be confused with perils. Fire is a peril; faulty electrical wiring is a physical hazard that may cause fire. Theft is a peril; deliberate misrepresentation in an insurance proposal may indicate moral hazard.

Loss exposure

A loss exposure is a situation in which a person or organisation may suffer a loss. It exists before the loss occurs. A manufacturing company may have property, business interruption, workers’ compensation, product liability, cyber, environmental, and key-person loss exposures.

Exposure analysis asks four questions: What can be lost? What event could cause the loss? How probable is the event? What would be the financial and operational consequence? A complete answer should include direct, indirect, contingent, and liability exposures.

Risk Appetite, Tolerance and Capacity

Risk appetite is the amount and type of risk an individual or organisation is willing to pursue or retain in order to achieve its objectives. A commercial bank may have a low appetite for operational and compliance risk but a greater appetite for credit risk within approved limits. An insurer may accept a substantial volume of motor business while restricting exposure to earthquakes in a concentrated geographic zone.

Risk tolerance translates appetite into acceptable variation or thresholds. It may specify maximum loss, maximum concentration, minimum solvency margin, acceptable claim frequency, or maximum downtime. Risk capacity is the maximum risk that can be absorbed without threatening survival, liquidity, strategic objectives, or regulatory compliance.

These concepts affect insurance decisions. An organisation with strong cash reserves and effective controls may retain a larger deductible. A financially constrained organisation may purchase broader cover even where the expected loss is modest because the worst-case loss would be intolerable. Risk appetite should be approved by governance bodies, documented, monitored, and aligned with legal duties and stakeholder interests.

When Is a Risk Insurable?

Insurability is not an all-or-nothing property. A risk may be fully insurable, partially insurable, insurable only with conditions, or currently unsuitable for conventional insurance. The following criteria are commonly considered.

Accidental and fortuitous loss

The event should be accidental or fortuitous from the perspective of the insured. Insurance is intended to compensate uncertain events, not certain or deliberately created losses. Intentional acts, known losses, and events already occurring at inception are generally excluded or treated as misrepresentation.

Definable occurrence and measurable loss

The insurer must be able to identify the time, cause, location, and extent of loss. The loss should be capable of financial valuation. Property damage may be measured through repair or replacement costs; liability losses may require legal and actuarial assessment. Purely subjective dissatisfaction is difficult to insure without an objective monetary basis.

Sufficiently large and homogeneous exposure group

Insurance relies on pooling. A large number of broadly similar exposures allows the insurer to estimate expected claims more reliably. Homogeneity does not require identical risks, but important differences must be recognised in rating and underwriting.

Estimable probability and severity

The insurer must have a reasonable basis for estimating frequency and severity. Historical data, scientific models, expert judgment, scenario analysis, and external benchmarks may be used. Where data are scarce, premiums may be high, limits low, deductibles substantial, or coverage unavailable.

Non-catastrophic accumulation, or effective capital support

If one event can generate claims from a large proportion of the portfolio, ordinary pooling may fail. Flood, earthquake, pandemic, and cyber events may create correlated losses. Such risks can sometimes be managed through geographic diversification, exclusions, sublimits, deductibles, reinsurance, catastrophe bonds, or public schemes.

Economically feasible premium

The premium must be affordable to the policyholder and adequate for the insurer. A risk may be technically insurable but commercially impractical if the premium approaches the potential loss or if administrative costs are excessive.

Limited moral hazard and manageable adverse selection

Moral hazard arises when insurance changes behaviour in a way that increases claims. Adverse selection occurs when those most likely to suffer losses are more willing to purchase coverage, especially where participation is voluntary and information is uneven. Underwriting, deductibles, waiting periods, exclusions, inspections, warranties, and compulsory participation help control these problems.

Legal and public-policy acceptability

Insurance cannot validly support illegal activity, deliberate wrongdoing, or arrangements contrary to public policy. Regulatory rules may also govern compulsory insurance, solvency, product approval, data use, fairness, and claims handling.

The Risk-Management Process

Insurance is one method of financing risk, not the entire risk-management process. A disciplined process generally involves the following stages.

Establish the context and objectives

The organisation first identifies its strategic objectives, stakeholders, legal obligations, financial resources, operating environment, and risk criteria. Without context, risk assessment may focus on isolated hazards while missing strategic consequences.

Identify risks and exposures

Identification may use interviews, site inspections, process mapping, historical claims, incident reports, contract review, scenario workshops, and specialist advice. A risk register can record the event, causes, consequences, existing controls, owner, and treatment status.

Analyse risk

Analysis considers likelihood, severity, velocity, duration, correlation, and uncertainty. Qualitative matrices are useful for initial screening, while quantitative methods may include expected-loss models, simulations, stress testing, sensitivity analysis, and value-at-risk measures. No model removes judgment; a model is only as reliable as its assumptions and data.

Evaluate and prioritise

The analysed risk is compared with risk appetite, tolerance, legal requirements, and available resources. Risks exceeding tolerance receive priority. A low-frequency, high-severity event may deserve attention even when its expected annual loss is smaller than that of frequent minor events.

Select treatment

The principal treatments are:

1. Avoidance: discontinue the activity or do not enter the exposure.

2. Reduction: lower likelihood through prevention or lower severity through protection and response planning.

3. Retention: accept losses within the organisation’s capacity, either knowingly or through inadequate planning.

4. Transfer: shift financial consequences through insurance, contracts, hedging, outsourcing, or other arrangements.

5. Sharing: distribute risk among several parties, such as through co-insurance or a consortium.

These treatments are often combined. A factory may reduce fire risk through sprinklers, retain small losses through a deductible, insure major damage, and transfer contractual liability to a supplier subject to appropriate controls.

Implement, monitor and communicate

Treatment decisions must be implemented through policies, controls, contracts, insurance programmes, training, and contingency plans. Monitoring should track changes in exposure, claims, near misses, control effectiveness, insurer financial strength, policy conditions, and emerging risks. Communication is essential because employees and managers may otherwise create exposures that the risk function cannot see.

Insurance as a Risk-Financing Instrument

Insurance performs a financial-risk-transfer function. The policyholder pays a known premium to avoid bearing the full financial impact of specified uncertain losses. The insurer combines many risks, collects premiums, invests funds, maintains reserves, and pays valid claims. This arrangement depends on accurate information and mutual obligations.

Underwriting is the insurer’s process of selecting, classifying, pricing, limiting, and accepting risks. It seeks an equitable relationship between premium and expected exposure while maintaining portfolio balance. Claims management then determines whether the event falls within the contract, investigates causation and quantum, detects fraud, and pays valid claims fairly and promptly.

The policyholder retains responsibilities. These may include disclosure of material facts, payment of premium, reasonable care, compliance with warranties, notification of changes, mitigation of loss, and cooperation in claims investigation. Failure to meet these obligations can affect coverage.

Applied Case: The Resilience Programme of Meridian Components

Background

Meridian Components, an illustrative medium-sized manufacturer, produces electrical assemblies for infrastructure contractors. It operates one main plant, maintains a warehouse of imported components, and relies on a specialised automated production line. The company had property insurance and public liability insurance but had not reviewed its programme for four years.

Situation and problem

A risk review identified several exposures: fire caused by overloaded electrical panels, flood accumulation because the plant was near a drainage channel, dependence on one overseas supplier, machinery breakdown, cyber interruption of production controls, employee injury, and contractual penalties for late delivery. Management initially proposed buying a broad policy with the lowest available premium. The risk manager argued that insurance alone would not address the underlying vulnerabilities.

Analysis

The review classified the risks. Fire, flood, machinery breakdown, and liability were primarily pure risks. Supplier selection and investment in automation involved speculative business decisions but created associated pure loss exposures. Flood was potentially correlated with regional events and therefore raised accumulation concerns. The company’s risk appetite allowed retention of small operational losses but not a loss that could threaten debt-service capacity or customer contracts.

A risk register and scenario analysis estimated that a major fire could cause property damage, replacement costs, business interruption, reputational harm, and contractual losses. The most important hazards were poor electrical maintenance, combustible packaging near production equipment, inadequate backup data, and concentration of inventory at one site.

Approach and strategy

Meridian adopted a layered treatment plan. It replaced unsafe panels, separated packaging, installed automatic detection and suppression systems, and introduced preventive maintenance. Critical data were backed up offline and production systems were segmented from office networks. The company qualified a secondary supplier and developed a temporary production agreement with a neighbouring manufacturer.

For financing, Meridian accepted a higher deductible for routine property claims, purchased property and business-interruption insurance with documented limits, added machinery breakdown and cyber coverage subject to underwriting requirements, and reviewed liability limits against customer contracts. It also considered contingent business-interruption coverage for supplier failure. The broker was instructed to obtain quotations based on updated engineering information rather than historical figures.

Outcome

The programme reduced the probability and likely severity of a major loss, improved the quality of underwriting information, and made the selected insurance more economically efficient. The company did not attempt to insure every consequence. It retained predictable small losses, transferred low-frequency high-severity exposures, and used operational controls to protect people and continuity.

Learning points

The case demonstrates that risk classification is a managerial tool, not merely an academic exercise. It also shows that insurability depends on controls, data, concentration, and financial capacity. A policy purchased without exposure analysis may create false confidence, inadequate limits, coverage gaps, or unaffordable claims conditions.

Challenges, Limitations and Common Errors

Risk assessment is affected by incomplete data, changing conditions, model error, cognitive bias, and organisational silos. Managers may underestimate rare events because recent experience has been favourable, or overestimate visible risks while ignoring less obvious liability and cyber exposures. Correlations between risks may remain hidden until a common event occurs.

Common errors include treating insurance as a substitute for prevention; failing to update values after inflation or expansion; overlooking indirect and contingent losses; selecting limits solely on the basis of premium; failing to read exclusions and conditions; and assuming that an insurer will cover an event because it appears accidental. Another error is confusing risk appetite with risk capacity. An organisation may be willing to accept a risk but lack the financial resources to survive it.

Risk matrices also have limitations. They can create false precision when categories are subjective, and they may rank a frequent minor event above a rare existential event without adequate management judgment. Quantitative models can be equally misleading if historical data do not represent future conditions.

Ethical, Governance and Regulatory Considerations

Risk selection and pricing raise questions of fairness, transparency, privacy, and social responsibility. Insurers must use relevant information without unjustified discrimination and should explain material policy terms in understandable language. Data-driven underwriting must comply with applicable privacy and insurance regulation, including rules on consent, purpose limitation, security, and automated decision-making where relevant.

Governance requires clear accountability. Boards and senior management should approve risk appetite, monitor aggregate exposures, and ensure that insurance arrangements align with the organisation’s strategy. Insurance intermediaries should disclose remuneration and conflicts of interest where required and recommend coverage based on the client’s needs rather than convenience.

Claims handling is an ethical test of the insurance relationship. Valid claims should be investigated objectively and settled in accordance with the contract without unnecessary delay. Fraud controls are legitimate, but suspicion should not become a reason for unfair treatment of genuine claimants. Insurers must also consider solvency, reserving, reinsurance dependence, and the broader consequences of withdrawing capacity from vulnerable sectors.

Technology, Analytics and Emerging Risks

Digital tools support exposure mapping, predictive underwriting, telematics, remote inspection, sensor-based prevention, automated claims triage, and fraud detection. Internet-of-Things devices can monitor temperature, vibration, water leakage, or vehicle behaviour and may enable earlier intervention. Artificial intelligence can identify patterns in claims and assist risk scoring, but it requires governance over data quality, explainability, bias, cybersecurity, and human review.

Emerging risks include ransomware, cloud-service concentration, artificial-intelligence liability, supply-chain disruption, climate-related physical and transition risks, antimicrobial resistance, and risks associated with autonomous systems. These risks challenge conventional insurability because historical data may be inadequate, loss accumulation may be severe, and legal responsibility may be uncertain.

Climate-related hazards illustrate the need for forward-looking analysis. Past claims alone may not reflect future frequency or severity. Insurers and policyholders increasingly use scenario analysis, catastrophe models, resilience investment, parametric products, and public-private partnerships. Parametric insurance pays when a defined index or trigger is reached, such as a measured wind speed or rainfall level; it can provide rapid liquidity but may produce basis risk when the index does not match the insured’s actual loss.

Best Practices for Insurance Managers

Effective practice begins with an enterprise-wide exposure inventory rather than a product-first approach. Managers should:

• link insurance decisions to strategic objectives and approved risk appetite;
• distinguish perils, hazards, exposures, causes, and consequences;
• use both frequency-severity analysis and scenario-based stress testing;
• verify values, business-interruption assumptions, supplier dependencies, and liability limits;
• combine prevention, reduction, retention, transfer, and contingency planning;
• review exclusions, sublimits, deductibles, warranties, waiting periods, and notification duties;
• assess insurer security, claims capability, reinsurance arrangements, and service quality;
• update the programme after acquisitions, expansion, technological change, regulation, or major incidents; and
• document decisions so that management, auditors, regulators, and future advisers can understand the rationale.

Chapter Summary

Risk concerns the possibility and consequences of loss, while uncertainty is the broader inability to know future outcomes completely. Probability, frequency, and severity help make uncertainty measurable. Pure risks involve loss or no loss and are generally more suitable for insurance than speculative risks, which include the possibility of gain. Fundamental risks affect broad sections of society, whereas particular risks affect identifiable individuals or organisations.

Perils are immediate causes of loss; hazards are conditions that increase the likelihood or severity of loss; and loss exposure is the situation in which a loss may occur. Risk appetite expresses the amount and type of risk an organisation is willing to accept, while tolerance and capacity define practical boundaries. Insurability depends on fortuity, measurability, adequate data, pooling, manageable accumulation, affordable premiums, controlled moral hazard, and legal acceptability.

The risk-management process involves establishing context, identifying and analysing exposures, evaluating priorities, selecting treatments, and monitoring results. Insurance is one form of risk financing and works best when combined with prevention, mitigation, retention, contingency planning, sound governance, and reliable data. Contemporary technology improves assessment and claims processes but introduces new concerns involving privacy, bias, cybersecurity, model risk, and emerging forms of accumulation.

Key Terms

Risk: The possibility of an uncertain event producing an adverse consequence or loss.

Uncertainty: Lack of complete knowledge about future events or outcomes.

Probability: A measure of the likelihood that an event will occur.

Frequency: The rate at which events occur within a defined population or period.

Severity: The financial or physical magnitude of a loss.

Pure risk: A risk involving only the possibilities of loss or no loss.

Speculative risk: A risk involving the possibility of loss, no change, or gain.

Fundamental risk: A risk arising from broad conditions and affecting large sections of society.

Particular risk: A risk affecting an identifiable individual, organisation, or small group.

Peril: The immediate cause of a loss.

Hazard: A condition that increases the probability or severity of loss.

Physical hazard: A tangible condition that contributes to loss.

Moral hazard: Dishonest or intentional conduct that increases the likelihood of loss or claims.

Morale hazard: Carelessness or indifference encouraged by the existence of insurance.

Loss exposure: A situation in which an individual or organisation may suffer a loss.

Risk appetite: The amount and type of risk an organisation is willing to pursue or retain.

Risk tolerance: The acceptable range of variation around risk objectives or limits.

Risk capacity: The maximum risk an organisation can absorb without serious harm.

Insurability: The extent to which a risk satisfies the conditions necessary for insurance coverage.

Adverse selection: The tendency for higher-risk persons to seek insurance disproportionately when participation is voluntary.

Review Questions

Short Answer Questions

1. Distinguish risk from uncertainty in an insurance context.

2. What is the difference between a peril and a hazard?

3. Define pure risk and give two examples.

4. What is meant by risk appetite?

5. State any four criteria of insurability.

Long Answer Questions

1. Explain the classification of pure, speculative, fundamental, and particular risks and discuss their relevance to insurance.

2. Describe the risk-management process from establishing context to monitoring and communication.

3. Explain how frequency, severity, probability, and expected loss influence underwriting and premium decisions.

4. Discuss the principal conditions that make a risk suitable or unsuitable for insurance.

5. Examine the relationship between risk appetite, risk tolerance, risk capacity, and insurance purchase decisions.

Analytical / Application Questions

1. A retailer operates in a flood-prone area, stores high-value goods in one warehouse, and has limited cash reserves. Identify its main perils, hazards, loss exposures, and suitable risk treatments.

2. A technology company wants insurance against loss of customer trust caused by a failed artificial-intelligence product. Analyse the difficulties of insuring this exposure and recommend a combined risk-management approach.

3. An insurer is considering earthquake coverage in a densely concentrated city. Explain the accumulation, data, pricing, reinsurance, and public-policy issues that should influence the decision.

22. Multiple Choice Questions with Answers

Question 1

Which statement best describes pure risk?

A. It involves the possibility of loss, no change, or gain.

B. It involves only the possibilities of loss or no loss.

C. It always affects an entire national economy.

D. It can never be measured statistically.

Correct Answer: B. It involves only the possibilities of loss or no loss.

Question 2

A factory’s overloaded electrical panel is best classified as which of the following?

A. Peril

B. Moral hazard

C. Physical hazard

D. Fundamental risk

Correct Answer: C. Physical hazard

Question 3

Which situation most clearly represents a fundamental risk?

A. A burglary at one retail store

B. A collision involving one company vehicle

C. A professional negligence claim against one consultant

D. Widespread economic unemployment affecting a country

Correct Answer: D. Widespread economic unemployment affecting a country

Question 4

If a loss of ₹10 million has an estimated probability of 1 per cent, what is its expected loss?

A. ₹10,000

B. ₹100,000

C. ₹1 million

D. ₹10 million

Correct Answer: B. ₹100,000

Question 5

Which factor most directly creates a problem of adverse selection?

A. The insurer diversifies geographically

B. The policy includes a deductible

C. High-risk applicants are more motivated to buy voluntary coverage

D. The insured improves fire-prevention systems

Correct Answer: C. High-risk applicants are more motivated to buy voluntary coverage

Question 6

Which of the following is an example of risk reduction rather than risk transfer?

A. Purchasing liability insurance

B. Installing an automatic fire-suppression system

C. Buying a catastrophe bond

D. Transferring contractual liability to an insurer

Correct Answer: B. Installing an automatic fire-suppression system

Question 7

An organisation’s risk capacity refers to:

A. The risks it would ideally like to pursue

B. The maximum risk it can absorb without serious harm

C. The number of insurance policies it can purchase

D. The probability that a claim will occur

Correct Answer: B. The maximum risk it can absorb without serious harm

Question 8

Why can a catastrophe risk be difficult for conventional insurance?

A. It has no possible financial consequence

B. It always involves intentional conduct

C. It may cause correlated losses across many policyholders at once

D. It cannot be reduced through any controls

Correct Answer: C. It may cause correlated losses across many policyholders at once

Question 9

Which case best illustrates morale hazard?

A. A policyholder deliberately burns insured property

B. A warehouse contains defective wiring

C. An insured driver becomes careless because insurance will pay for damage

D. A flood affects thousands of properties simultaneously

Correct Answer: C. An insured driver becomes careless because insurance will pay for damage

Question 10

What is the main purpose of the risk-management process before purchasing insurance?

A. To ensure every risk is transferred to an insurer

B. To identify, analyse, prioritise, and select suitable treatments for exposures

C. To eliminate the need for internal controls

D. To guarantee that no loss will occur

Correct Answer: B. To identify, analyse, prioritise, and select suitable treatments for exposures