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Risk Management in Banking and Insurance · Credit Risk Management

Credit Appraisal and Credit Rating for CMA Final

Updated 11 October 2026 · Fact-checked

Credit appraisal is the bank's assessment of a borrower's ability and willingness to repay before lending. Credit rating converts that assessment into a grade or score. You solve questions by judging character, capacity, capital, collateral and conditions, then applying a rating or scoring model and recommending approve, modify or reject.

Understand Credit Appraisal and Credit Rating

Credit appraisal is the process a bank follows before it sanctions a loan. The aim is simple: find out whether the borrower can and will repay, and whether the bank is paid enough for the risk it takes. It looks at the borrower, the purpose of the loan, the repayment source, the security and the business environment.

The classic checklist is the 5 Cs of credit: Character (willingness and track record), Capacity (cash flows to service debt), Capital (the borrower's own stake), Collateral (security if repayment fails) and Conditions (industry, economy, purpose of the loan). Some books add a sixth C, Control or Compliance. Use the 5 Cs as a frame, then add numbers.

A credit rating summarises the appraisal as a grade. An internal rating is built by the bank itself, using its own borrower data, financial ratios and judgement about management and industry. It drives pricing, sanction limits, monitoring and, under the Basel internal ratings-based approach, capital. An external rating is given by an independent credit rating agency registered with SEBI, and it is used for rated bonds and, under the standardised approach, for risk weights.

Ratings sit on a scale, for example AAA at the top down to D (default). Higher grades carry lower probability of default (PD). A transition (migration) matrix shows the probability that a borrower in one grade today moves to another grade, or defaults, over a period such as one year. Each row sums to 100%. The diagonal shows the chance of staying in the same grade.

Credit scoring uses statistics to predict default. The best known is the Altman Z-score, which combines five financial ratios into one number. Low scores signal distress. Scoring is fast and consistent, but it relies on past data and ignores qualitative factors, so banks combine it with judgement.

Key rules to remember

Altman Z-score (original, listed manufacturing companies)
Z = 1.2×X1 + 1.4×X2 + 3.3×X3 + 0.6×X4 + 1.0×X5
X1 = working capital ÷ total assets; X2 = retained earnings ÷ total assets; X3 = EBIT ÷ total assets; X4 = market value of equity ÷ book value of total liabilities; X5 = sales ÷ total assets.
Altman Z-score zones (original model)
Z > 2.99 safe; 1.81 to 2.99 grey; Z < 1.81 distress
Cut-offs differ for the Z′ (private firms) and Z″ (non-manufacturers) versions. Say which model you use.
Transition matrix property
Σ of probabilities in each row = 100%
Row = current grade; column = grade at end of period. Default is usually an absorbing state.
Probability of default from a matrix
PD (1 year) = value in the row of the current grade, column 'Default'
For two years, multiply the matrix by itself, assuming migrations are independent across years.
Expected loss
EL = PD × LGD × EAD
Links the rating (which gives PD) to the loss estimate.
Debt service coverage ratio
DSCR = (PAT + depreciation + interest on term loan) ÷ (interest + instalment of term loan)
Common capacity test. Banks usually look for a figure comfortably above 1.

How to solve Credit Appraisal and Credit Rating questions

Use this order for any theory or numerical question on appraisal and rating.

  1. 1Identify what is asked: appraisal factors, a rating model, a score calculation or a transition matrix.
  2. 2For appraisal, go through the 5 Cs and tie each to facts in the case (cash flows, promoter record, margin money, security, industry outlook).
  3. 3For a rating question, state whether it is internal or external, then name the inputs: financial ratios, management quality, industry risk and account conduct.
  4. 4For numbers, write the formula first, substitute carefully, and compute each term separately.
  5. 5Interpret the result against the cut-offs or grade scale. A bare number earns few marks.
  6. 6If a matrix is given, read the correct row, check it sums to 100%, and pick the right cell.
  7. 7Finish with a recommendation: approve, approve with conditions (more collateral, covenants, lower limit, higher pricing) or reject.
  8. 8Add one limitation, such as dependence on past data or the need for judgement.

Quickest way: 5 Cs plus numbers plus decision

When to use it: Use for a case-based question with limited time and no model named.

  1. Write the five Cs as one-line headings.
  2. Under each, put one fact from the case and a verdict (strong, adequate, weak).
  3. Compute one or two key ratios, such as DSCR, current ratio or debt-equity.
  4. Map the overall picture to a grade (high, medium, low risk).
  5. Close with the decision and conditions in a single sentence.

Common mistakes in Credit Appraisal and Credit Rating

  • Treating internal and external ratings as the same thing

    Both produce grades, so they look alike.

    Fix: State who assigns it: the bank (internal, for its own decisions, pricing and IRB capital) versus a SEBI-registered agency (external, public, used for standardised risk weights).

  • Listing the 5 Cs without applying them to the case

    Students memorise the list and stop.

    Fix: Attach a fact and a verdict to each C, then conclude.

  • Wrong Z-score substitution, especially X4 and X5

    X4 uses market value of equity over book value of liabilities; X5 is sales over total assets.

    Fix: Write each ratio's definition before substituting and compute each ratio separately.

  • Quoting Z-score cut-offs without naming the model

    Different versions have different zones.

    Fix: State that 2.99 and 1.81 apply to the original model and mention that other versions differ.

  • Reading the wrong row or column of a transition matrix

    Rows and columns are easy to swap under pressure.

    Fix: Row is the starting grade, column is the ending grade. Check the row sums to 100%.

  • Claiming a high score or rating guarantees repayment

    Models feel precise.

    Fix: Say it measures the likelihood of default, and that monitoring and judgement are still needed.

Worked examples

Example 1

A manufacturing company has total assets of ₹100 crore, working capital ₹20 crore, retained earnings ₹15 crore, EBIT ₹12 crore, market value of equity ₹60 crore, total liabilities ₹40 crore and sales ₹120 crore. Compute the original Altman Z-score and comment on creditworthiness.

Show the solution
  1. X1 = 20 ÷ 100 = 0.20
  2. X2 = 15 ÷ 100 = 0.15
  3. X3 = 12 ÷ 100 = 0.12
  4. X4 = 60 ÷ 40 = 1.50
  5. X5 = 120 ÷ 100 = 1.20
  6. Z = 1.2×0.20 + 1.4×0.15 + 3.3×0.12 + 0.6×1.50 + 1.0×1.20
  7. Z = 0.24 + 0.21 + 0.396 + 0.90 + 1.20 = 2.946
  8. Compare with the zones: 2.946 lies between 1.81 and 2.99, so it is in the grey zone, just below the safe cut-off.

Answer: Z = 2.946 (about 2.95). The company is in the grey zone, close to safe. The bank can lend, but should monitor closely and consider covenants, and should check qualitative factors before sanction.

Example 2

A bank's one-year transition matrix gives, for a borrower now rated BBB: to A 5%, to BBB 85%, to BB 7%, to B 2%, to Default 1%. The bank has 200 BBB-rated loans of equal size, each of ₹10 crore. (a) Check the row. (b) How many loans are expected to default and to be downgraded in one year? (c) If LGD is 40%, find the expected loss.

Show the solution
  1. (a) 5 + 85 + 7 + 2 + 1 = 100%, so the row is valid.
  2. (b) Expected defaults = 1% × 200 = 2 loans.
  3. Downgrades are the moves to BB and B: 7% + 2% = 9%, which is 9% × 200 = 18 loans. Default is counted separately.
  4. (c) Exposure at default for the 2 loans = 2 × ₹10 crore = ₹20 crore.
  5. EL = PD × LGD × EAD = 1% × 40% × ₹2,000 crore = ₹8 crore.
  6. Check: 2 loans × ₹10 crore × 40% = ₹8 crore.

Answer: The row sums to 100%. About 2 loans are expected to default and 18 to be downgraded (excluding default). Expected loss is ₹8 crore.

Exam tips

  • Case-scenario MCQs often test the 5 Cs or internal versus external rating. Match each fact in the case to the right C.
  • In numericals, show every ratio of the Z-score separately. Partial marks depend on it.
  • For matrix questions, always confirm the row sums to 100% and read the starting grade row.
  • In descriptive answers, give a recommendation with conditions, not just an analysis.
  • Link rating to PD, and PD to expected loss and capital, to show you see the full chain.

Practice questions from Credit Risk Management

Credit Appraisal and Credit Rating in other exams

The same ground in other exams, if you are preparing for more than one or want another angle on it.

Credit Appraisal and Credit Rating: frequently asked questions

What is the difference between internal and external credit rating?

An internal rating is assigned by the bank using its own models and data, and is used for sanction, pricing, monitoring and internal-ratings-based capital. An external rating is assigned by an independent, SEBI-registered rating agency and is public. Banks use external ratings for risk weights under the standardised approach.

What are the 5 Cs of credit?

They are Character, Capacity, Capital, Collateral and Conditions. Together they cover the borrower's willingness to pay, ability to pay, own stake, security and the external environment. Always apply them to the facts given.

How do I interpret the Altman Z-score?

In the original model, a score above 2.99 is safe, between 1.81 and 2.99 is grey, and below 1.81 signals distress. The zones change for other versions of the model. Treat the score as a warning signal, not a certainty.

What is a credit rating transition matrix?

It is a table showing the probability that a borrower in each rating grade moves to each other grade, or defaults, over a set period. Each row adds up to 100%. Banks use it to estimate default probability and rating migration risk.