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FRM Exam Part II · The Failure Mechanics of Dealer Banks

Sources of Dealer Bank Fragility Explained

Updated 11 October 2026 · Fact-checked

Dealer banks are fragile because they fund long-dated, sometimes illiquid assets with short-term wholesale borrowing, such as repo, at high leverage, while counterparties cannot easily see their risks. If lenders refuse to roll funding, the dealer faces a liquidity run. Fire sales then cut asset values and can turn illiquidity into insolvency.

Understand Sources of Dealer Bank Fragility

A dealer bank buys and sells securities to make markets for clients. It holds large inventories of securities and derivatives. It funds much of that inventory in wholesale markets, mainly repo (sale and repurchase agreements) and unsecured short-term debt. It does not rely on insured retail deposits.

Four features create fragility. Leverage: the dealer owns many times more assets than equity, so a small fall in asset value is a large fall in equity. Maturity mismatch: assets are held for weeks or months, but funding must be rolled over daily or overnight. Reliance on short-term wholesale funding: lenders are professional, can pull funds in hours, and have no deposit insurance to keep them calm. Opacity: positions, collateral quality and counterparty exposures are hard for outsiders to observe, so a rumour is hard to disprove.

These features interact. When doubts about a dealer arise, lenders cut funding or raise haircuts (the discount applied to collateral value). The dealer must raise cash by selling assets. Forced sales push prices down and lower the value of the remaining inventory. Counterparties also demand more collateral and may withdraw other business, such as prime brokerage balances or derivatives clearing. Losses and funding outflows reinforce each other. This is a run.

A key exam distinction is liquidity failure versus solvency failure. A bank is insolvent when the value of its assets is below its liabilities. A bank is illiquid when it cannot meet payments as they fall due, even if assets exceed liabilities. In a run the two blur: an illiquid dealer sells at fire-sale prices, takes losses, and becomes insolvent. Lenders also cannot tell which case applies, because of opacity, so they run on both.

In the usual case-study reading (Bear Stearns, Lehman Brothers), collapse came quickly once funding confidence went. Capital looked adequate on paper before the run. The lesson is that capital ratios alone do not protect a dealer that depends on funding that can vanish overnight.

Key formulas to remember

Leverage ratio (balance sheet)
Leverage = Total assets ÷ Equity
Higher leverage means a smaller asset fall wipes out equity.
Equity loss threshold
Fall in assets that wipes out equity = Equity ÷ Total assets = 1 ÷ Leverage
With leverage of 25, a 4% fall in asset value eliminates equity.
Repo haircut and cash raised
Cash borrowed = Collateral value × (1 − haircut)
A higher haircut means less cash for the same collateral, so the dealer needs more own funding.
Funding gap from a haircut increase
Extra funding needed = Collateral value × (new haircut − old haircut)
The dealer must replace this cash immediately or sell assets.
Solvency vs liquidity test
Insolvent: assets < liabilities. Illiquid: cannot pay obligations when due, even if assets ≥ liabilities.
A run can turn illiquidity into insolvency through fire sales.

How to solve Sources of Dealer Bank Fragility questions

Use this method for any question on why a dealer fails or which vulnerability is at work.

  1. 1Identify the balance sheet: what are the assets (inventory, collateral) and how are they funded (repo, commercial paper, other short-term debt)?
  2. 2Compare maturities. Is funding shorter than the assets it supports? That is maturity mismatch and rollover risk.
  3. 3Check leverage. Compute assets ÷ equity or equity ÷ assets, and see how large a price fall removes equity.
  4. 4Look for a trigger: lost confidence, collateral price fall, higher haircuts, a rating downgrade or a rumour.
  5. 5Trace the amplification: funding withdrawn, fire sales, lower asset prices, losses, further withdrawals.
  6. 6Decide whether the problem is liquidity (cannot roll funding) or solvency (assets below liabilities), and note that opacity makes lenders unable to tell the difference.
  7. 7Pick the answer that matches the mechanism asked for. Avoid answers that rely on deposit insurance or retail deposit behaviour.

Quickest way: Four-word scan: leverage, maturity, wholesale, opacity

When to use it: Use it for qualitative MCQs asking which feature explains a dealer's vulnerability, and for quick numeric checks.

  1. Label each answer option with the feature it describes: leverage, maturity mismatch, wholesale funding or opacity.
  2. Eliminate options that describe stable funding, such as insured retail deposits or long-term equity.
  3. For numbers, compute 1 ÷ leverage for the equity loss threshold, or collateral × haircut change for the funding gap.
  4. Check the key distinction: if the question says assets exceed liabilities but payments cannot be met, it is a liquidity problem.

Common mistakes in Sources of Dealer Bank Fragility

  • Treating a dealer run like a retail deposit run.

    Both are called bank runs, so the features seem the same.

    Fix: Remember that dealer runs involve professional lenders, repo haircuts and collateral calls, with no deposit insurance.

  • Saying a liquidity failure means the firm is insolvent.

    In crises the two happen close together.

    Fix: Define each by its test. Insolvency compares assets with liabilities. Illiquidity is about meeting payments on time. Fire sales can link them.

  • Assuming high capital ratios mean a dealer is safe.

    Capital looks like a buffer against all failures.

    Fix: Capital absorbs losses but does not replace funding that lenders withdraw overnight. Funding structure matters as much.

  • Computing the equity wipe-out as the leverage multiple instead of its inverse.

    Students confuse leverage of 20 with a 20% fall.

    Fix: Use equity ÷ assets. Leverage of 20 means a 5% fall in assets removes all equity.

  • Ignoring opacity as a source of fragility.

    It is less numeric than leverage or maturity.

    Fix: Opacity prevents lenders from verifying solvency, so they withdraw from healthy and unhealthy dealers alike, and rumours can be self-fulfilling.

  • Applying the haircut the wrong way round when computing cash raised.

    Haircut and loan-to-value are mixed up.

    Fix: Cash = collateral × (1 − haircut). A higher haircut means less cash.

Worked examples

Example 1

A dealer has total assets of USD 50 billion and equity of USD 2 billion. (a) What is its leverage? (b) By what percentage must asset values fall to wipe out equity? Pick the closest: A) 4% B) 8% C) 12.5% D) 25%

Show the solution
  1. Leverage = 50 ÷ 2 = 25.
  2. Equity wipe-out fall = equity ÷ assets = 2 ÷ 50 = 0.04.
  3. So a 4% fall in asset value removes all equity, ignoring any other changes.

Answer: Leverage is 25, and a 4% fall in assets wipes out equity. The answer is A.

Example 2

A dealer funds USD 10 billion of securities in the repo market with a 2% haircut. In a stress, lenders raise the haircut to 10%, and collateral values are unchanged. How much additional funding must the dealer find, and why is this a liquidity risk rather than a solvency problem by itself? Options for the amount: A) USD 0.2 billion B) USD 0.8 billion C) USD 1.0 billion D) USD 1.2 billion

Show the solution
  1. Cash raised at the 2% haircut = 10 × (1 − 0.02) = USD 9.8 billion.
  2. Cash raised at the 10% haircut = 10 × (1 − 0.10) = USD 9.0 billion.
  3. Additional funding needed = 9.8 − 9.0 = USD 0.8 billion, which equals 10 × (0.10 − 0.02).
  4. The assets are unchanged in value, so assets still exceed liabilities. The dealer simply cannot roll its funding in full. That is a liquidity problem. If it sells assets at depressed prices to find the cash, losses could later cause insolvency.

Answer: The dealer needs an extra USD 0.8 billion (option B). It is a funding shortfall, not an asset-value loss, so it is a liquidity problem that fire sales may convert into insolvency.

Exam tips

  • Expect case-style questions describing a dealer's funding mix. Name the feature (maturity mismatch, leverage, wholesale funding, opacity) before looking at the options.
  • Know the liquidity versus solvency definitions precisely. Distractors often swap them.
  • Use equity ÷ assets for loss thresholds. Check that you did not use the leverage multiple as a percentage.
  • Remember that wholesale lenders are uninsured and can withdraw within hours, which is why dealers differ from deposit-funded banks.
  • Link fragility to the amplification loop: higher haircuts, fire sales, lower prices, more losses.

Practice questions from The Failure Mechanics of Dealer Banks

Sources of Dealer Bank Fragility: frequently asked questions

Why do dealer banks fail in a liquidity run?

They fund long-dated or illiquid assets with short-term wholesale funding such as repo. If lenders stop rolling funding or raise haircuts, the dealer must sell assets quickly. Fire sales cut prices and capital, which increases lenders' fears and speeds the run.

What is the difference between solvency and liquidity failure in banks?

A bank is insolvent when its assets are worth less than its liabilities. It is illiquid when it cannot pay obligations as they come due, even if assets exceed liabilities. In a run an illiquid bank may sell assets at a loss and become insolvent.

How does maturity mismatch create wholesale funding risk?

The dealer must refinance short-term borrowing repeatedly while its assets stay on the balance sheet longer. If markets will not roll the funding, the dealer has to sell assets or find emergency liquidity. This rollover risk is the core of dealer fragility.

Why does opacity matter for dealer bank fragility?

Outsiders cannot easily verify a dealer's positions, collateral or counterparty exposures. They cannot tell a temporary funding problem from a solvency problem, so they withdraw funding and demand collateral. That can make a rumour self-fulfilling.