Learning Objectives

By the end of this lesson, learners should be able to:

  • Define credit and counterparty risk.
  • Identify the major sources of credit exposure.
  • Distinguish default risk from concentration risk.
  • Explain credit assessment and credit limits.
  • Evaluate expected and unexpected credit losses.
  • Explain credit risk mitigation techniques.
  • Understand the role of guarantees, collateral and netting.
  • Evaluate credit risk from an executive perspective.

1. Meaning of Credit Risk

Credit risk is the risk that a borrower, customer or other counterparty fails to meet its contractual financial obligations.

Credit risk can arise from:

  • Trade receivables.
  • Loans.
  • Bonds and other investments.
  • Derivative contracts.
  • Deposits with financial institutions.
  • Guarantees.
  • Other contractual exposures.

Credit risk exists whenever an organization is exposed to the possibility that another party will not perform as agreed.

2. Counterparty Risk

Counterparty risk is the risk that the other party to a financial or contractual transaction fails to perform its obligations.

It is broader than traditional lending risk.

For example, an organization may face counterparty risk through:

  • A bank deposit.
  • A derivative contract.
  • A foreign-exchange transaction.
  • A supplier agreement.
  • An investment.
  • A guarantee.

3. Default Risk

Default risk is the possibility that a counterparty fails to meet its contractual obligations.

A default may involve:

  • Failure to pay.
  • Delayed payment.
  • Failure to repay principal.
  • Failure to pay interest.
  • Breach of contractual obligations.

Default can result in:

  • Direct financial loss.
  • Reduced cash flow.
  • Higher collection costs.
  • Legal costs.
  • Reputational consequences.

4. Credit Exposure

Credit exposure represents the amount that could potentially be lost if a counterparty fails to meet its obligations.

Exposure may change over time.

For example, a customer may initially owe $100,000 but later owe $500,000.

Therefore, executives should monitor exposure continuously rather than relying only on the original credit assessment.

5. Probability of Default

The Probability of Default (PD) estimates the likelihood that a counterparty will default over a specified period.

Factors influencing PD can include:

  • Financial strength.
  • Cash-flow stability.
  • Debt levels.
  • Credit history.
  • Industry conditions.
  • Economic conditions.
  • Management quality.

A higher PD generally indicates greater credit risk.

6. Loss Given Default

Loss Given Default (LGD) estimates the proportion of exposure that may be lost after considering recoveries.

For example:

  • Exposure = $10 million.
  • Expected recovery = $4 million.

Potential loss:

$10m − $4m = $6m

LGD:

$6m / $10m = 60%

Therefore, estimated LGD is 60%.

7. Exposure at Default

Exposure at Default (EAD) represents the amount exposed to loss when a default occurs.

A simplified expected credit-loss relationship can be expressed as:

Expected Loss = PD × LGD × EAD

This provides a framework for estimating potential credit losses.

8. Example of Expected Credit Loss

Assume:

  • PD = 5%
  • LGD = 40%
  • EAD = $10 million

Expected loss:

5% × 40% × $10m

= $200,000

This is an analytical estimate rather than a prediction that exactly $200,000 will be lost.

9. Credit Assessment

Before extending significant credit, an organization should assess the counterparty.

Possible areas include:

Financial Position

  • Assets.
  • Liabilities.
  • Equity.
  • Cash flows.

Profitability

  • Operating performance.
  • Margins.
  • Earnings stability.

Liquidity

  • Current obligations.
  • Cash availability.
  • Short-term funding.

Leverage

  • Debt levels.
  • Interest coverage.

Qualitative Factors

  • Management quality.
  • Industry conditions.
  • Business model.
  • Governance.

10. Credit Scoring

Credit scoring assigns a risk assessment based on defined factors.

A credit model may consider:

  • Payment history.
  • Financial ratios.
  • Credit history.
  • Industry.
  • Exposure size.

The objective is to support consistent credit decisions.

However, executives should recognize that models are dependent on assumptions and historical data.

11. Credit Limits

A credit limit restricts the maximum exposure that may be extended to a counterparty.

Limits can be established based on:

  • Counterparty credit quality.
  • Exposure size.
  • Collateral.
  • Payment history.
  • Strategic importance.
  • Risk appetite.

Credit limits should be reviewed as circumstances change.

12. Concentration Risk

Even if individual counterparties appear financially strong, excessive concentration can create significant risk.

Examples include:

  • One customer representing 40% of receivables.
  • One bank holding most organizational deposits.
  • One supplier providing a critical input.

If that counterparty fails, the organization’s financial position may be materially affected.

13. Credit Risk Mitigation

Common mitigation methods include:

  • Credit limits.
  • Collateral.
  • Guarantees.
  • Insurance.
  • Netting arrangements.
  • Diversification.
  • Advance payments.
  • Shorter payment periods.
  • Credit derivatives where appropriate.

Mitigation should be proportional to the exposure and risk.

14. Collateral

Collateral is an asset pledged to provide protection against default.

If a borrower defaults, the lender may have rights over the collateral subject to the relevant legal arrangements.

Collateral can reduce potential loss, but its value may change.

Executives should consider:

  • Market value.
  • Liquidity.
  • Legal enforceability.
  • Valuation frequency.
  • Recovery costs.

15. Guarantees

A guarantee involves a third party agreeing to meet specified obligations if the primary counterparty fails.

A guarantee does not eliminate risk.

Management should evaluate the guarantor’s:

  • Financial strength.
  • Creditworthiness.
  • Legal obligations.
  • Ability to perform under stress.

16. Netting

Netting allows multiple obligations between counterparties to be offset, reducing the amount that must actually be settled.

For example:

Party A owes Party B $10 million.

Party B owes Party A $7 million.

Under an enforceable netting arrangement, the net settlement may be:

$3 million

Netting can reduce exposure, but its effectiveness depends heavily on legal enforceability and contractual terms.

17. Credit Risk Monitoring

Credit risk should be monitored throughout the relationship.

Executives may monitor:

  • Days sales outstanding.
  • Overdue balances.
  • Credit-limit utilization.
  • Counterparty ratings.
  • Payment behaviour.
  • Covenant breaches.
  • Concentration levels.

A deterioration in these indicators may require action before default occurs.

18. Early Warning Indicators

Possible warning signs include:

  • Repeated late payments.
  • Deteriorating financial statements.
  • Rapid increase in borrowing.
  • Declining profitability.
  • Reduced liquidity.
  • Covenant breaches.
  • Negative industry developments.
  • Requests for unusually extended payment terms.

19. Executive Credit Risk Governance

Senior management should establish:

  • Credit policies.
  • Delegated approval authorities.
  • Exposure limits.
  • Counterparty classifications.
  • Monitoring procedures.
  • Escalation mechanisms.

The board should receive information on material concentrations and significant credit exposures.

Lesson Summary

Credit and counterparty risk arise whenever an organization depends on another party to meet financial or contractual obligations.

Effective credit-risk management involves:

Identify → Assess → Limit → Mitigate → Monitor → Escalate

Important concepts include:

  • Probability of Default.
  • Loss Given Default.
  • Exposure at Default.
  • Expected Credit Loss.
  • Concentration risk.
  • Credit limits.
  • Collateral.
  • Guarantees.
  • Netting.

Key Principle

Credit risk management is not simply about deciding who receives credit; it is about controlling the organization’s total exposure to counterparties throughout the life of the relationship.

References

  1. Basel Committee on Banking Supervision — Principles for the Management of Credit Risk
    Bank for International Settlements — Basel Committee
  2. IFRS Foundation — IFRS 9 Financial Instruments
    IFRS Foundation
  3. CFA Institute — Credit Analysis and Risk Management
    CFA Institute