Institutional Borrowing and Lending
Institutional guide to crypto borrowing and lending, LTV, collateral haircuts, margin calls, rehypothecation, wrong-way risk and liquidation.
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Institutional crypto lending is a credit transaction whose risk depends on collateral, haircuts, legal enforceability, rehypothecation, liquidity and margin mechanics—not the headline interest rate alone.
Learning objectives
- Analyse a crypto loan through collateral, credit and liquidity rather than yield alone.
- Calculate loan-to-value and understand margin-call and liquidation thresholds.
- Distinguish bilateral secured lending, unsecured credit and intermediated structures.
How institutional crypto credit works
Borrowing and lending supports market-making inventory, basis trades, treasury liquidity, short selling and settlement. A borrower might pledge BTC to borrow dollars, borrow BTC to deliver into an OTC trade, or borrow stablecoins against a collateral portfolio. The economic exposure depends on both the loan asset and the collateral asset.
The legal form matters. Collateral can be pledged, transferred under title-transfer documentation, held by a third-party custodian or controlled through an intermediary. Those structures create different enforcement rights if the borrower defaults. “Collateralised” is therefore not enough; the lender needs to know whether it can actually seize and sell the collateral under the contract and relevant law.
Loan-to-value changes continuously with collateral price. If a £5 million loan is secured by £10 million of BTC, LTV is 50%. If BTC falls so the collateral is worth £7 million, LTV rises to 71.4% without any new borrowing. Margin-call and liquidation levels need buffers for overnight or weekend gaps, market fragmentation and liquidation slippage.
Haircuts should reflect volatility, liquidity, concentration and wrong-way risk. A borrower’s own token can be especially dangerous collateral against that borrower’s credit because both values may collapse together. A stablecoin also requires issuer, reserve, redemption and depeg analysis; its low day-to-day volatility does not make it identical to bank cash.
The lending rate is compensation for several risks. An 8% loan secured by liquid BTC under robust legal documentation may be more attractive on a risk-adjusted basis than a 12% loan against illiquid governance tokens. Expected recovery and the speed of collateral liquidation matter more than headline coupon.
Rehypothecation and maturity transformation deserve close attention. If an intermediary is allowed to re-lend client collateral, the lender becomes exposed not only to the original borrower but to the intermediary’s own liquidity management. A platform offering daily withdrawals while lending assets for long terms can face a run even when borrowers remain solvent.
Institutions should also distinguish mark-to-market margin from final economic loss. A hedged basis strategy can suffer large interim margin calls on one leg even when the combined trade is profitable at maturity. Credit lines and collateral mobility need to survive that path, not merely the terminal outcome.
Worked example
A borrower receives £4 million against £8 million of BTC, giving 50% LTV. The agreement sets a margin-call threshold at 65% and liquidation at 75%. If the loan remains £4 million, the collateral value that produces a 65% LTV is £4m / 0.65 ≈ £6.154m. The liquidation threshold corresponds to £4m / 0.75 ≈ £5.333m.
Those are trigger values, not guaranteed recovery prices. If BTC gaps through the threshold or the order book is thin, the lender may realise substantially less after fees and market impact. The correct risk model therefore includes stressed liquidation depth, not only contractual LTV.
Institutional credit workflow
- Identify borrower, legal structure, loan asset, collateral, maturity and permitted use.
- Set collateral haircuts from volatility, liquidity, concentration and wrong-way risk.
- Model margin calls and liquidation under gap and venue-outage scenarios.
- Review custody, rehypothecation, enforcement and insolvency rights.
- Monitor LTV, collateral liquidity, borrower credit and maturity mismatch throughout the loan.
Common mistakes
- Comparing loan yields without comparing collateral and legal structure.
- Using issuer-linked or highly correlated collateral without a wrong-way-risk haircut.
- Assuming the liquidation threshold guarantees the liquidation price.
- Ignoring rehypothecation and maturity mismatch.
- Assuming an overcollateralised borrower cannot create loss during a fast market.
Knowledge checkpoint
- Why can LTV rise even when the loan balance does not change?
- What makes collateral wrong-way risk severe?
- Why is a contractual liquidation threshold not a guaranteed recovery value?
- How can rehypothecation change the lender’s risk?
FAQs
❓ Is overcollateralised lending risk-free?
No. Gaps, market depth, operational failure, legal disputes and collateral correlation can still create losses.
❓ What is a haircut?
A haircut is a risk discount applied to collateral value when calculating borrowing capacity.
❓ Why does LTV rise when collateral falls?
The loan balance is unchanged while the market value of the collateral in the denominator declines.
❓ What should lenders stress-test?
Price gaps, order-book depth, collateral concentration, counterparty default, venue outages and the time required to seize and sell collateral.
Summary
Institutional crypto lending is a collateral-and-credit problem, not a yield product. Strong underwriting connects LTV, haircuts and liquidation to real market liquidity, maps legal rights and rehypothecation, and ensures the lender can survive the path to recovery during stressed conditions.
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