Underwriting Management

Chapter 9
Reinsurance, Capacity and Catastrophe Management

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Reinsurance, Capacity and Catastrophe Management

Introduction and Context

Insurance underwriting is constrained by uncertainty, capital, accumulation and the insurer’s ability to pay claims after severe events. Reinsurance is the principal financial and risk-management mechanism through which an insurer transfers part of its underwriting exposure to another insurer or reinsurer. It allows an insurer to write risks larger than its balance sheet would otherwise support, smooth results across years, protect solvency and manage catastrophe accumulations.

Reinsurance does not eliminate risk. It reallocates risk among parties, subject to the reinsurer’s credit quality, contract wording, collateral, basis risk and operational execution. Effective reinsurance management therefore requires integration of underwriting, actuarial analysis, catastrophe modelling, capital management, claims governance and counterparty oversight.

This chapter examines facultative and treaty reinsurance, proportional and non-proportional structures, retention, aggregation controls, catastrophe models and capital considerations. The central managerial question is not simply how much reinsurance to buy, but how to construct a programme that is economically efficient, legally reliable and consistent with the insurer’s risk appetite.

Learning Objectives

By the end of this chapter, the learner should be able to:

  1. Distinguish facultative from treaty reinsurance and proportional from non-proportional arrangements.
  2. Calculate ceded premium, retained premium, recoveries and treaty limits under basic structures.
  3. Design retention and capacity decisions using exposure, earnings and capital considerations.
  4. Explain aggregation control and the role of catastrophe models.
  5. Evaluate basis risk, counterparty risk, exclusions, reinstatements and contract certainty.
  6. Assess the governance and strategic implications of a reinsurance programme.

1. The Economic Logic of Reinsurance

An insurer receives premium in exchange for accepting uncertain future claims. Its exposure is determined not only by individual policy limits but also by the number and geographic or causal concentration of risks. A portfolio may contain many individually acceptable policies but still be vulnerable to one earthquake, flood, cyclone, cyber event or liability trend.

Reinsurance serves five related purposes:

  • Capacity expansion: transferring exposure permits underwriting beyond the insurer’s net retention.
  • Volatility reduction: large or frequency-heavy losses can be shared with reinsurers.
  • Catastrophe protection: event losses can be capped at a manageable amount.
  • Capital efficiency: risk transfer may reduce required capital, although the benefit depends on recognition rules and counterparty quality.
  • Expertise and service: reinsurers may provide modelling, pricing, claims and portfolio-management support.

The economic value of reinsurance should be judged against its total cost. That cost includes ceded premium, brokerage, collateral and administration, opportunity cost of capital, expected recoverable leakage and the possibility that coverage is unavailable or disputes arise when it is needed.

A useful decision principle is:

Net economic benefit = Value of risk reduction + Capital benefit − Total cost of reinsurance

The expression is a managerial framework rather than an accounting identity. “Value” may include reduced earnings volatility, improved solvency confidence and greater strategic capacity, while “cost” must include frictional and residual risks.

2. Essential Reinsurance Terminology

TermMeaning
CedantThe primary insurer transferring risk
ReinsurerThe party accepting transferred risk
CessionThe portion of risk or premium transferred
RetentionThe portion retained by the cedant
RetrocessionReinsurance purchased by a reinsurer
TreatyAn agreement covering a defined portfolio or class
FacultativeNegotiated reinsurance for an individual risk or location
Occurrence/eventA loss-producing event as defined by the contract
AggregateThe total losses over a specified period, commonly one year
Attachment pointThe loss level at which non-proportional reinsurance begins to respond
LimitThe maximum amount recoverable under a layer
ReinstatementRestoration of exhausted cover, usually subject to additional premium
Ceding commissionCommission paid by a reinsurer to the cedant in proportional reinsurance
Rate on lineReinsurance premium divided by the limit
BrokerageRemuneration paid to a reinsurance intermediary
Ultimate net lossContractually defined loss measure used to calculate recovery
Follow-the-fortunesPrinciple under which the reinsurer generally follows covered underwriting outcomes, subject to contract terms
Claims cooperationRequirement for the cedant to involve the reinsurer in specified claims decisions

3. Facultative and Treaty Reinsurance

Facultative Reinsurance

Facultative reinsurance is arranged risk by risk. The cedant submits information about an individual exposure, and the reinsurer may accept, reject or modify the proposed terms. It is appropriate when:

  • the risk is unusually large or hazardous;
  • the exposure falls outside treaty terms;
  • treaty capacity is exhausted;
  • the cedant requires a specialist market opinion; or
  • a portfolio contains exceptional locations or values.

Facultative placement permits detailed underwriting but is slower and more administratively expensive. It also creates execution risk: a policy may be issued before reinsurance is fully bound. Facultative certificates must be reconciled with the underlying policy, particularly for limits, deductibles, exclusions, warranties, terrorism, sanctions and claims-control provisions.

Treaty Reinsurance

Treaty reinsurance applies automatically to risks falling within an agreed class, subject to the treaty’s definitions and limits. It supports high-volume underwriting and provides certainty of capacity. Common treaty provisions address scope, exclusions, underwriting authority, reporting, accounting, claims cooperation, premium adjustment, commutation and termination.

Treaties may be:

  • Obligatory: the cedant must cede and the reinsurer must accept qualifying risks.
  • Quota share: a proportional treaty sharing a fixed percentage.
  • Surplus share: a proportional treaty based on lines retained by the cedant.
  • Per-risk excess of loss: protection for individual risk losses.
  • Catastrophe excess of loss: protection for accumulations arising from one event.
  • Aggregate excess of loss or stop-loss: protection linked to total losses over a period.

Comparison

CriterionFacultativeTreaty
Unit of underwritingIndividual riskDefined portfolio
FlexibilityHighModerate within agreed scope
AdministrationHighLower per policy
Capacity certaintyMust be negotiatedGenerally automatic
Information detailExtensiveBordereaux and portfolio data
Typical useExceptional exposuresRoutine portfolio capacity

A mature insurer uses both. Treaty capacity provides the foundation, while facultative reinsurance handles exceptions and prevents unusual risks from distorting treaty performance.

4. Proportional Reinsurance Structures

In proportional reinsurance, premium and losses are shared according to an agreed proportion, subject to commissions and contractual adjustments.

Quota Share

Under quota share, the reinsurer accepts a fixed percentage of every qualifying policy. If the quota share percentage is q, then:

Ceded premium = q × Gross written premium
Retained premium = (1 − q) × Gross written premium
Ceded loss = q × Covered loss

Here, q lies between 0 and 1. The formula assumes that the same proportion applies to premium and covered losses and that no policy-specific limit or cession cap changes the result.

Example. An insurer writes premium of 20 million currency units under a 40% quota share. Ceded premium is 8 million and retained premium is 12 million. A covered loss of 5 million produces a ceded loss of 2 million and a retained loss of 3 million. If the reinsurer pays a 30% ceding commission on ceded premium, the commission is 2.4 million.

Quota share is useful for new portfolios, rapidly growing books and capital relief. Its disadvantages include surrendering profitable business and exposing the reinsurer to all portfolio risks, including attritional claims.

Surplus Share

Surplus share retains a fixed number of lines and cedes amounts above that retention, up to a treaty maximum. A line is commonly defined as the cedant’s retention for a policy or risk, but the contract must specify the basis precisely.

If the risk amount is S, the cedant’s retention is R, and the treaty can accept up to nR in surplus capacity, the ceded amount is generally:

Ceded amount = min(max(S − R, 0), nR)

The remaining amount may require facultative placement if S exceeds the combined retention and treaty capacity. Surplus share preserves more premium from small risks than quota share, but administration and line calculations are more complex.

5. Non-Proportional Reinsurance Structures

Non-proportional reinsurance responds when losses exceed a specified threshold. Premium is not automatically proportional to the underlying policy premium; it is priced using expected loss, exposure, catastrophe risk, market conditions, capital and expenses.

Per-Risk Excess of Loss

A per-risk excess-of-loss layer is commonly described as “L excess of A,” where A is the attachment and L is the limit. For a covered loss X, the recovery before contract-specific adjustments is:

Recovery = min(max(X − A, 0), L)

The insurer retains the first A of each risk loss, and the reinsurer pays the next L. The formula assumes a single covered loss and ignores reinstatement premiums, franchise deductibles, exclusions and event aggregation provisions.

Example. A layer is 10 million excess of 5 million. A covered loss of 13 million produces a recovery of 8 million. A loss of 4 million produces no recovery. A loss of 20 million produces 10 million, exhausting the layer.

Catastrophe Excess of Loss

Catastrophe excess of loss responds to the aggregation of losses from one defined event. It is designed for earthquake, windstorm, flood, hail, terrorism and other perils that can damage many policies simultaneously. The contract must define event hours, affected territories, loss occurrence, treatment of deductibles and hours clauses.

A catastrophe layer may be written as 100 million excess of 50 million, meaning that the cedant bears the first 50 million of event loss and the reinsurer pays the next 100 million. Losses above 150 million remain with the cedant unless another layer applies.

Aggregate Excess of Loss and Stop-Loss

Aggregate excess of loss protects against the total of losses during a period after an aggregate attachment. Stop-loss may be expressed as a monetary amount or a loss ratio. If annual covered losses are X, attachment is A and limit is L, the recovery is:

Recovery = min(max(X − A, 0), L)

For a loss-ratio stop-loss, if earned premium is P and the attachment ratio is rA, the attachment amount is rA × P, subject to the contract’s definitions. This protection can stabilize annual results but may be expensive and difficult to obtain when loss trends are uncertain.

6. Retention and Capacity Management

Retention is a strategic decision, not merely the amount left after reinsurance. A retention that is too high can threaten solvency and earnings; a retention that is too low can make reinsurance uneconomic and weaken underwriting discipline.

Retention decisions should consider:

  1. Policy and risk size: retention should be consistent with maximum probable loss and policy limits.
  2. Portfolio volatility: a diversified book may support higher retention than a concentrated book.
  3. Capital and solvency: retention must fit available capital, regulatory requirements and risk appetite.
  4. Earnings tolerance: boards may accept a defined annual underwriting loss but not a severe earnings shock.
  5. Liquidity: claims may be payable before recoveries are received.
  6. Reinsurer security: an apparently high retention can be preferable to dependence on a weak counterparty.
  7. Market conditions: price and availability vary across the reinsurance cycle.

A basic concentration indicator is the gross or net exposure by zone, peril, industry, cedant group or event scenario. For a zone z, an exposure ratio can be expressed as:

Exposure ratioz = Net exposurez ÷ Available capital

This ratio has no universal safe threshold. It is a monitoring measure that must be interpreted alongside catastrophe model output, correlation and regulatory requirements.

Capacity should be allocated through underwriting authorities, referral thresholds and accumulation limits. A policy may be within an underwriter’s individual authority but unacceptable when added to an already concentrated portfolio. Therefore, individual risk controls and portfolio controls must operate together.

7. Aggregation Controls

Aggregation is the process of identifying exposures that may be affected by the same event or common cause. Important aggregation dimensions include:

  • geographic location and hazard zone;
  • construction type and occupancy;
  • insured group or parent company;
  • supplier, cloud provider or critical infrastructure dependency;
  • policy wording and common exclusions;
  • peril, event definition and season;
  • reinsurance programme and counterparty.

Controls include geocoding, accumulation databases, exposure dashboards, referral rules, scenario limits and periodic portfolio reviews. Data quality is fundamental. Incorrect addresses, missing construction characteristics, duplicate locations and inconsistent currency conversions can materially distort modelled loss.

A strong control framework uses three levels:

LevelQuestion
Individual riskIs this policy acceptable on its own?
Local accumulationWhat happens if a nearby event affects several policies?
Enterprise aggregationWhat happens if one cause affects multiple classes or jurisdictions?

Aggregation controls should be tested under both deterministic scenarios and probabilistic models. They should also consider non-physical accumulations, such as litigation trends, pandemic restrictions, cyber vulnerabilities and systemic financial exposures.

8. Catastrophe Models

Catastrophe models estimate the frequency and severity of losses from defined perils. A typical model has four components:

  1. Hazard: the physical intensity and probability of events, such as wind speed, ground motion or flood depth.
  2. Exposure: location, value, occupancy, construction, policy terms and insured interests.
  3. Vulnerability: the relationship between hazard intensity and damage.
  4. Financial module: deductibles, limits, conditions, coinsurance and reinsurance.

The output may include an event-loss table, exceedance probability curve, occurrence exceedance probability and aggregate exceedance probability. An exceedance probability of 1% for an annual loss threshold means the model estimates a 1% probability that the threshold will be exceeded in a year; it does not mean the event occurs exactly once every 100 years.

A simplified annual expected loss is:

Expected annual loss = ∑ pi × Li

where pi is the annual probability assigned to event scenario i, and Li is the insured loss for that scenario after specified policy terms but before or after reinsurance, depending on the model stage. The probabilities must represent a mutually exclusive and appropriately weighted scenario set. In a full stochastic model, event frequency and severity distributions are simulated rather than represented by a small deterministic sum.

Catastrophe models support:

  • pricing and technical rate adequacy;
  • treaty limit and attachment selection;
  • capital modelling;
  • portfolio steering;
  • accumulation monitoring;
  • stress testing and board reporting.

They do not provide objective truth. Model uncertainty arises from incomplete hazard science, sparse historical data, vulnerability assumptions, exposure errors, secondary modifiers and changing climate or urban development. Model outputs should therefore be presented as ranges, scenarios or decision indicators rather than precise forecasts.

Model governance should include version control, independent validation, sensitivity testing, documentation of assumptions, treatment of non-modelled perils and clear escalation when data quality falls below tolerance.

9. Capital, Solvency and Counterparty Considerations

Reinsurance can reduce net claims volatility and required risk capital, but capital relief is not automatic. Supervisors and internal models may apply credit-for-reinsurance requirements, collateral rules, counterparty default charges and diversification assumptions.

The cedant should evaluate at least four capital effects:

  • Underwriting risk: retained loss volatility after reinsurance.
  • Counterparty default risk: possibility that recoverables are not paid when due.
  • Liquidity risk: timing mismatch between claim payments and reinsurance recoveries.
  • Concentration risk: dependence on a small number of reinsurers or markets.

Recoverables should be monitored by reinsurer, treaty, currency, maturity and claims status. Security assessment should consider financial strength, jurisdiction, collateral, disputes, payment history and correlated exposure. A panel with many legal entities may still be concentrated if they are related companies or exposed to the same systemic shock.

The net cost of a programme should include expected ceded losses and expenses as well as the risk-adjusted value of protection. A high rate on line may be rational for a layer that protects scarce capital, while a low price may be unattractive if exclusions create substantial basis risk.

10. Contract Design and Governance

Reinsurance is a legal contract. Commercial intent is insufficient unless it is reflected in precise wording. Critical provisions include:

  • covered business and territorial scope;
  • definitions of loss, occurrence and event;
  • hours clauses and event aggregation;
  • exclusions and write-back provisions;
  • attachment, limit and exhaustion;
  • reinstatement rights and additional premiums;
  • claims notification, cooperation and control;
  • accounting, payment and offset provisions;
  • sanctions, insolvency and commutation clauses;
  • governing law and dispute resolution.

Contract certainty means that the parties agree material terms before the risk attaches, with documentation that accurately reflects the agreement. Underwriting teams should not rely on informal assumptions about “market practice.” Ambiguity can create coverage disputes precisely when losses are largest.

Governance should allocate responsibilities among underwriting, actuarial, catastrophe analytics, finance, claims, legal, treasury and enterprise risk management. The board or risk committee should approve risk appetite, programme objectives, material exceptions and counterparty limits.

11. Worked Programme Example

Consider an insurer with 600 million currency units of property exposure across several regions. It selects:

  • net retention of 5 million per individual risk;
  • per-risk cover of 15 million excess of 5 million;
  • catastrophe cover of 100 million excess of 25 million per event;
  • an annual aggregate cover of 30 million excess of 120 million.

A single fire loss of 12 million generates 7 million of per-risk recovery because:

min(max(12 − 5, 0), 15) = 7 million

A windstorm produces an event loss of 90 million across many policies. The catastrophe recovery is:

min(max(90 − 25, 0), 100) = 65 million

If annual covered losses, after relevant per-risk and event protections, total 155 million and the aggregate layer attaches at 120 million with a 30 million limit, the aggregate recovery is:

min(max(155 − 120, 0), 30) = 30 million

The layer is exhausted. The insurer must then examine whether the annual programme has any further protection and whether the event has also consumed reinstatements. This example illustrates why treaty limits cannot be evaluated in isolation: the same loss may interact with per-risk, catastrophe and aggregate covers.

12. Illustrative Case: Coastal Property Portfolio

Background

HarborShield Insurance, a fictional regional insurer, has expanded rapidly in coastal commercial property. Its treaty programme was designed using historical claims but did not adequately capture recent development, secondary flood exposure or shared industrial zones.

Problem

A catastrophe model indicates that the portfolio’s 1% annual aggregate loss estimate has increased from 80 million to 135 million currency units. The insurer has 90 million of catastrophe cover attaching at 40 million. Several major risks are also within the same industrial corridor, and geocoding errors affect 12% of location records.

The insurer faces three risks: insufficient catastrophe limit, inaccurate exposure data and excessive reliance on one reinsurer, which accounts for 45% of recoverables.

Analysis

Management first cleans and validates location data, then runs alternative hazard and vulnerability assumptions. The model indicates that the loss estimate is sensitive to flood depth assumptions and demand surge. Stress testing shows that a severe event could exhaust the catastrophe layer and create liquidity pressure before recoveries are received.

The underwriting committee compares three options:

  1. retain the existing programme and restrict new coastal business;
  2. purchase additional catastrophe limit but retain the same attachment;
  3. improve data, reduce coastal accumulations, diversify reinsurers and purchase a higher layer with a liquidity facility.

Approach and Solution

The committee adopts the third option. It establishes zone-level exposure limits, requires accurate coordinates before binding, and introduces referral for industrial risks with common dependencies. The programme is restructured into multiple layers, with part of the risk placed through a panel rather than one dominant counterparty. Treasury arranges contingent liquidity, while claims and finance establish recovery-tracking procedures.

The insurer also uses scenario analysis rather than relying on a single model view. Pricing is revised for flood-sensitive risks, and selected accounts are declined where the technical price cannot support the capital consumed.

Outcome

The revised programme does not eliminate catastrophe loss, but it reduces peak net loss, improves data confidence and lowers counterparty concentration. The board receives a quarterly dashboard showing gross exposure, net exposure, modelled loss metrics, treaty utilisation, recoverables ageing and exceptions to underwriting authority.

Learning Points

  • A reinsurance limit is only as effective as the exposure data and contract wording behind it.
  • Capacity must be managed at portfolio and event levels, not only at policy level.
  • Model uncertainty should lead to scenario ranges and management actions.
  • Reinsurance purchasing, underwriting restrictions and liquidity planning are interconnected decisions.

13. Challenges, Limitations and Contemporary Developments

The reinsurance market is cyclical. Capacity and price can change after major catastrophes, inflation shocks, financial stress or changes in investor appetite. Inflation also affects sums insured, repair costs, claims settlement and the adequacy of historical loss data.

Climate change complicates reliance on historical experience. Hazard frequency, severity, geographic distribution and vulnerability may evolve. Models increasingly incorporate forward-looking climate scenarios, but scenario uncertainty remains substantial. Boards should avoid treating a modelled return period as a guarantee.

Alternative capital, including catastrophe bonds and collateralised reinsurance, can add capacity and diversify traditional markets. Parametric covers pay when an objective index, such as wind speed or earthquake intensity, meets a trigger. They offer speed and transparency but introduce basis risk: the index payment may differ materially from the insurer’s actual loss.

Artificial intelligence can assist exposure cleansing, document comparison, claims triage and accumulation detection. However, it should not replace accountable underwriting judgement. Governance must address explainability, data provenance, privacy, discrimination, model drift and human review. AI-generated contract summaries require legal validation because a summary cannot amend the binding wording.

Best practice is therefore characterized by:

  • clear risk appetite and retention philosophy;
  • accurate, timely and controlled exposure data;
  • independent catastrophe-model governance;
  • layered and diversified reinsurance placement;
  • documented contract certainty;
  • counterparty and liquidity surveillance;
  • regular stress and reverse-stress testing;
  • post-event lessons learned; and
  • integration of underwriting, capital and claims decisions.

Chapter Summary

Reinsurance enables insurers to manage capacity, earnings volatility, catastrophe exposure and capital consumption. Facultative reinsurance addresses individual or exceptional risks, whereas treaty reinsurance supports automatic portfolio capacity. Proportional arrangements share premium and losses by an agreed proportion; non-proportional arrangements respond above attachments or aggregate thresholds.

Retention should reflect exposure size, portfolio diversification, capital, liquidity, earnings tolerance and counterparty risk. Aggregation controls identify concentrations by geography, peril, insured group and common dependency. Catastrophe models combine hazard, exposure, vulnerability and financial terms, but their outputs are uncertain and require governance, validation and scenario analysis.

A sound programme is more than a collection of limits. It requires precise wording, reliable data, diversified counterparties, claims and recoverables discipline, capital analysis and board-level oversight. The appropriate amount of reinsurance is the amount that supports sustainable underwriting while preserving economic value and solvency resilience.

Key Terms

Reinsurance: Transfer of insurance risk from a primary insurer to another risk carrier.

Cedant: Insurer transferring risk to a reinsurer.

Facultative reinsurance: Individually negotiated reinsurance for a specific risk.

Treaty reinsurance: Reinsurance applying automatically to a defined portfolio.

Quota share: Proportional treaty sharing a fixed percentage of premium and losses.

Surplus share: Proportional treaty retaining a fixed number of lines and ceding excess amounts.

Excess of loss: Cover responding above a stated attachment point.

Catastrophe excess of loss: Cover for aggregated losses from one defined event.

Aggregate excess of loss: Cover responding when losses over a period exceed an aggregate attachment.

Retention: Risk amount retained by the cedant.

Attachment point: Loss level at which non-proportional cover begins.

Limit: Maximum amount recoverable under a layer.

Reinstatement: Restoration of exhausted reinsurance capacity.

Aggregation: Accumulation of exposures vulnerable to one cause or event.

Catastrophe model: Analytical model estimating hazard, damage and insured loss.

Basis risk: Difference between actual loss and the protection provided by a trigger or contract.

Recoverable: Amount due from a reinsurer.

Counterparty risk: Risk that a reinsurer cannot or will not perform its obligation.

Rate on line: Reinsurance premium divided by the reinsurance limit.

Contract certainty: Agreement and documentation of material terms before risk attachment.

Review Questions

5 Short Answer Questions

  1. What is the principal difference between facultative and treaty reinsurance?
  2. Define retention and explain why it is a strategic decision.
  3. What is the function of an attachment point in excess-of-loss reinsurance?
  4. Identify the four principal components of a catastrophe model.
  5. What is basis risk in parametric reinsurance?

5 Long Answer Questions

  1. Compare quota share, surplus share, per-risk excess of loss and catastrophe excess of loss.
  2. Explain how aggregation controls support underwriting capacity management.
  3. Discuss the capital, liquidity and counterparty implications of reinsurance.
  4. Evaluate the limitations of catastrophe models in a changing climate.
  5. Explain the governance requirements for achieving contract certainty.

3 Analytical / Application Questions

  1. An insurer has a layer of 25 million excess of 10 million. Calculate the recovery for losses of 6 million, 18 million and 50 million, and explain the exhaustion result.
  2. Design a reinsurance programme for a concentrated coastal property portfolio. State your assumptions about retention, catastrophe layers, data controls and counterparty diversification.
  3. A model indicates a major increase in probable catastrophe loss, but management believes the model is overly conservative. Develop a decision framework combining sensitivity analysis, underwriting restrictions, capital considerations and alternative model views.

Multiple Choice Questions with Answers

Question 1

Which arrangement automatically covers risks falling within an agreed portfolio definition?

A. Facultative reinsurance

B. Treaty reinsurance

C. Parametric insurance

D. Retrocession only

Correct Answer: B. Treaty reinsurance

Question 2

Under a 40% quota share, a covered loss of 5 million currency units produces what ceded loss?

A. 1 million

B. 2 million

C. 3 million

D. 4 million

Correct Answer: B. 2 million

Question 3

A layer is 10 million excess of 5 million. What is the recovery for a covered loss of 13 million?

A. 5 million

B. 8 million

C. 10 million

D. 13 million

Correct Answer: B. 8 million

Question 4

What is the primary purpose of catastrophe excess-of-loss reinsurance?

A. To share every policy premium equally

B. To protect against losses accumulated from one defined event

C. To eliminate all underwriting risk

D. To replace exposure data controls

Correct Answer: B. To protect against losses accumulated from one defined event

Question 5

Which catastrophe model component describes the relationship between hazard intensity and physical damage?

A. Exposure

B. Financial module

C. Vulnerability

D. Counterparty analysis

Correct Answer: C. Vulnerability

Question 6

If annual covered losses are 155 million, aggregate attachment is 120 million and the limit is 30 million, what is the recovery?

A. 25 million

B. 30 million

C. 35 million

D. 155 million

Correct Answer: B. 30 million

Question 7

Which issue is an example of counterparty risk?

A. A reinsurer fails to pay a valid recoverable

B. A policy has a deductible

C. A location is accurately geocoded

D. A treaty has a defined attachment

Correct Answer: A. A reinsurer fails to pay a valid recoverable

Question 8

What does basis risk mean in a parametric cover?

A. The reinsurer charges brokerage

B. The index payment differs from the insurer’s actual loss

C. The treaty has multiple layers

D. The policy contains a claims clause

Correct Answer: B. The index payment differs from the insurer’s actual loss

Question 9

Which control is most directly designed to identify multiple policies exposed to the same earthquake?

A. Individual expense budgeting

B. Geographic accumulation monitoring

C. Ceding commission analysis

D. Claims reserving by adjuster

Correct Answer: B. Geographic accumulation monitoring

Question 10

A loss of 20 million occurs under a layer of 15 million excess of 5 million. Ignoring other adjustments, what amount is recoverable?

A. 5 million

B. 15 million

C. 20 million

D. 25 million

Correct Answer: B. 15 million

Underwriting Management
Chapter 9 of 15