If a bank were a superhero, credit risk would be its sneaky arch-nemesis — disguised in nice suits, smiling borrowers, and well-written business plans. But behind those smiles lies the ever-present threat: What if they don’t pay back?

Let’s unravel how banks protect themselves from this ever-lurking danger.


🎯 The Foundations of Lending: Why Policies Matter

Credit risk — the risk that a borrower delays or skips payments — is no small hiccup. It’s a 70% problem. That’s how much of a typical bank’s balance sheet is tied up in lending. So if borrowers flake out, the bank’s liquidity dries up faster than a puddle in the Sahara.

To tame this risk, banks create formal lending policies — essentially, their financial firewalls. These policies define:

  • Who gets a loan
  • How they’re vetted
  • How loans are monitored
  • What happens if things go wrong

Imagine running a massive restaurant. You’d need clear rules for chefs, waiters, deliveries, and hygiene. Lending policies are just that — a recipe book for safe banking.

And because the economy is like a fast-paced dance floor, policies must remain flexible. Risk managers need a clear path to the boardroom, in case something smells fishy.


🧱 Types of Credit Policies: Three Defense Layers

Lending policies typically fall into three layers of protection:

  1. Risk-limiting policies — How to avoid giving loans that smell like bad news.
  2. Asset classification policies — Sorting loans based on how likely they are to go sour.
  3. Loss provisioning policies — Preparing for when things do go sour.

But that’s just the start. You wouldn’t give all your savings to one friend, right? Neither should a bank.


🧯 Exposure & Concentration Limits: Don’t Put All Your Eggs in One Basket

Banks must avoid overexposure to:

  • One borrower
  • One industry
  • One geographic area

This is like not stocking your entire menu with just pizza — what if the cheese market crashes?

To stay safe, banks set limits:

  • A single customer usually gets no more than $10\%$–$25\%$ of the bank’s capital.
  • Related-party lending $($think CEOs lending to their cousin’s startup$)$ is strictly limited.
  • All exposures must be calculated without overvaluing collateral. That shiny car could lose value overnight.

Here’s where it gets tricky — defining a “single client.” If two companies are secretly controlled by the same boss, their combined loans count as one exposure. Like twins switching classes — they may look different, but they’re one risk to the system.

And speaking of related parties — favoritism is a big no-no. Regulators demand transparency, and when they don’t, banks should still hold their own ethical line.

So now that we’ve put some fences up…


📊 How Do Banks Decide Who Gets a Loan?

Think of a bank’s credit facility as a well-run kitchen:

  • Ingredients $=$ Loan applications
  • Recipes $=$ Lending rules
  • Chef inspections $=$ Appraisals and monitoring

Let’s break down the key ingredients:


🧍 Lending Authority

Not every staffer can give out a large loan. Authority depends on experience. In big banks, lending power is distributed geographically or by product type.


🍽️ Types and Distribution of Loans

A balanced loan portfolio is crucial. Real estate loans, personal loans, business loans — each has a role. Overloading on one is like serving only one dish at a buffet.


🧐 Appraisal Process

Before the bank forks out funds, it must:

  • Appraise the borrower’s financial health
  • Re-appraise for renewals
  • Limit the loan-to-value ratio

It’s like checking the expiry date on every ingredient.


💵 Loan Pricing

Loan rates must cover:

  • Funding cost
  • Supervision and admin cost
  • Loss probability
  • Reasonable profit

Pricing should also respond to market competition. No one wants to buy overpriced lemonade.


⏰ Maturities

Loans must have realistic repayment plans. Asking someone to repay a home loan in one year is like expecting a toddler to carry a refrigerator. Terms must match repayment capacity and collateral life.


🌎 Sector and Geographic Exposure

Banks need systems to monitor how much they’ve lent to particular regions or industries. If one sector collapses $($say tourism during a pandemic$)$, overexposure can break the bank.


📂 Financial Information

Rules must define:

  • What documents are needed
  • If audits are required
  • Whether projections align with the loan duration

No surprises = safer lending.


⏳ Monitoring Collections

If a loan goes sour, the bank must:

  • Report to the board
  • Estimate expected losses
  • Make recovery plans

Because ignoring a leak only floods the house later.


🧮 Total Loans Outstanding

Banks limit total lending based on:

  • Capital
  • Deposits
  • Assets

They also factor in deposit volatility — because when cash in is unstable, cash out must be cautious.


💰 Margin Requirements

Banks set loan-to-collateral value limits, like giving a ₹70 loan against a ₹100 bond. Collateral values must also be periodically updated.


⚠️ Recognizing Impairments

A loan that smells rotten probably is. Policies should mandate identifying unrecoverable loans early. Delay only worsens the impact.


🔄 Renegotiated Debt

When borrowers struggle, banks may reduce interest/principal or swap debt for equity. But repeated restructuring = symptom of a bigger problem. Time to review the entire lending approach.


📜 Documented Guidelines

No “gentlemen’s agreements” here. Policies must be in writing. If it’s not on paper, it doesn’t exist.


🔍 Portfolio Reviews

Banks must regularly sample and inspect loans:

  • 75% by loan amount
  • 30% by loan count
  • 50% of foreign loans
  • 100% of loans $>$ 1-year maturity

Plus, they must flag:

  • Loans to insiders or related parties
  • Loans overdue by 30+ days
  • Modified loan terms
  • Any loans marked risky

🧾 Loan Loss Allowances

Banks need to set money aside for expected losses. Reviews must include:

  • Current policy and risk factors
  • Trends from the past
  • Stress tests for what-if scenarios

Even off-balance-sheet commitments like guarantees and interbank deposits can carry credit risk. The shadow always counts.

But that leads us to the real question:


🔎 How Do Banks Label Risky Loans?

Enter Credit Asset Classification — the art of labeling loans from awesome to awful.


🟢 Standard

The gold standard. No issues. Fully secured. Payments on time. Chef’s kiss.


🟡 Specially Mentioned

Mild warning. Something smells fishy — maybe financials are slipping or revenues are unstable. Keep an eye out.


🟠 Substandard

Something’s broken. The borrower missed payments. Primary repayment has failed. Time to eye that collateral.


🔴 Doubtful

The borrower is in deep water. Payments overdue $>$ 180 days. Even collateral might not save the day.


⚫ Loss

No recovery expected. Delay = denial. It’s time to write it off and move on.


🚨 Understanding Nonperforming Loans

A loan is nonperforming when no payments are made for 90+ days. But it’s not just about delays. The borrower’s cash flows, intent, and ability to repay are all assessed.

Banks analyze:

  • Age of delinquency $($30, 90, 180, 365 days$)$
  • Reasons for default
  • Each case individually, not just in bulk
  • Provisioning needs, tailored to the bank’s risk appetite

🔚 Wrapping It All Up: The Bank’s Shield

From creating policies to reviewing risk, credit risk management is about building a shield, not a wall. The bank must stay open to borrowers, but protected from shocks.

It’s like walking a tightrope — balance, preparation, and constant checks keep the system standing.

And at the end of the day, a bank isn’t just lending money — it’s managing risk, trust, and survival.