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DeFi· Deep Dive· 9 MIN READ

How Utilisation Sets the Price of Borrowing in DeFi

An on-chain lending market has no rate-setting committee. It has a curve, published in advance, that converts one observable number into the price of credit — and the shape of that curve encodes every decision the protocol has made about who it is protecting.

Olivia Bennett

By Olivia Bennett, Blockchain Security Researcher

Smart Contract Security, Audit Reports, Exploits, DeFi Hacks, White-Hat Research

Reviewed by Emily Volker· Editor-in-Chief

PUBLISHED SEPTEMBER 17, 2026◆ EDITORIAL STANDARDSNOT FINANCIAL ADVICE
Illustration · CoinRadar Daily

In an on-chain lending market, the interest rate is a function of one variable: what share of the deposited capital is out on loan. That share is utilisation, the function is published in the contract, and the result is that anyone can compute the rate for any level of demand before committing capital. This is a genuinely different arrangement from any conventional credit market, and its consequences are worth working through.

The curve and its kink

The shape is consistent across the major designs: a gentle slope up to a target utilisation, then a much steeper one beyond it. The point where the slope changes is usually called the kink.

Below the kink, rates rise slowly with demand. This is the intended operating region — enough capital is lent to be productive, enough remains idle for lenders to withdraw.

Above the kink, rates rise sharply. The steepness is not a revenue decision; it is a defence. High utilisation means little idle capital, which means a lender wanting to withdraw may be unable to. The steep segment exists to make borrowing painful enough that borrowers repay and lenders are attracted, both of which restore the buffer.

So the kink is the protocol stating where it thinks the boundary lies between productive lending and a liquidity problem, and the steepness after it states how aggressively it will act to get back. Two protocols with different kinks have made different judgements about how much withdrawal risk to impose on lenders, and that judgement is legible in a chart.

What a lender is actually holding

A deposit into such a market is not a fixed-term instrument. It is a claim on a pool whose availability depends on borrower behaviour.

At moderate utilisation, withdrawal is instant. At very high utilisation, it is not available until someone repays or someone else deposits. The deposit did not change; the conditions did.

This is the single most misunderstood property of on-chain lending, and it is not a bug. The alternative — guaranteed instant withdrawal — requires holding capital idle, which means paying lenders less. The curve is the mechanism that trades a small probability of delay for a materially better rate, and it does so transparently.

The practical consequence for anyone sizing a position: check utilisation before depositing capital you might need at short notice, and treat a market persistently sitting above its kink as one where withdrawal is a negotiation with the borrower base.

The spread, and where it goes

Borrowers pay one rate; lenders receive a lower one. The gap has two components worth distinguishing.

The first is arithmetic rather than a fee: interest is paid on borrowed capital and distributed across all deposited capital, including the idle portion. At half utilisation, a borrow rate is spread across twice as much deposited capital, so the lender rate is roughly half. Nobody took anything.

The second is the reserve factor: an explicit share of interest diverted to the protocol's own reserves, which exist to absorb bad debt. This is a real charge, it is published as a parameter, and a higher reserve factor means lenders receive less in exchange for a larger buffer against loss.

Confusing the two produces the common complaint that a protocol is taking most of the interest. Usually it is taking a modest published share, and the rest of the gap is the idle capital doing what idle capital does.

Reading the parameters that matter

Beyond the curve, a handful of published values determine how the market behaves under stress.

The collateral factor sets how much can be borrowed against a given asset — lower for volatile collateral, which is the protocol's judgement about how fast the price can move before liquidation completes.

The liquidation threshold and penalty set when a position becomes liquidatable and what the liquidator earns. The penalty has to be large enough to make liquidation worth executing during congestion and small enough not to be punitive, and that balance is where several protocols have learned expensive lessons.

Supply and borrow caps limit total exposure to a single asset. A cap is the clearest signal a protocol gives about which of its listings it does not fully trust.

Before depositing

  • Look at utilisation relative to the kink, and treat anything persistently above it as a withdrawal constraint.
  • Read the reserve factor to know what share of interest is diverted, rather than inferring it from the spread.
  • Check the collateral factor and cap on the assets backing the loans, since that is what stands between you and bad debt.
  • Compare the rate against what the same asset earns elsewhere, including the withdrawal terms attached to each.
  • Remember that every parameter here is changeable by governance while your capital is deposited.

The last point is the one that connects this to everything else about on-chain lending. The curve is transparent and computable, and the authority to change it sits with whoever controls the protocol.

Sources

2 references
  1. 01
    Aave risk parameters

    Aave · accessed August 22, 2026

  2. 02
    Liquidations

    Aave · accessed August 22, 2026

Frequently asked questions

Why do DeFi borrowing rates spike suddenly?+

Because the rate curve has a kink. Below a target utilisation, rates rise gently; above it, they rise steeply by design, to push borrowers to repay and attract new deposits so that lenders can still withdraw. The spike is the protocol defending liquidity, not a market panic.

Why is the lender rate so much lower than the borrow rate?+

Mostly arithmetic rather than fees. Interest paid by borrowers is spread across all deposited capital including the idle share, so at half utilisation the lender rate is roughly half the borrow rate. On top of that sits the reserve factor, a published share diverted to the protocol's loss buffer.

Can I always withdraw my deposit?+

Not necessarily. If utilisation is very high there may be no idle capital to withdraw until a borrower repays or another lender deposits. The rate curve is designed to make that state expensive and therefore short-lived, but it is a real constraint and worth checking before depositing capital you may need quickly.

What is the reserve factor?+

The share of borrower interest routed to the protocol's own reserves rather than to lenders. It funds the buffer that absorbs bad debt. A higher reserve factor means a lower lender rate and a larger cushion — a trade the protocol makes explicitly and publishes as a parameter.

◆ Authorship & Review
Olivia Bennett

Written by

Olivia BennettBlockchain Security Researcher

Smart Contract Security, Audit Reports, Exploits, DeFi Hacks, White-Hat Research

Olivia Bennett is the Blockchain Security Researcher at CoinRadar Daily, where she specializes in smart contract security, DeFi risk analysis, blockchain infrastructure, and protocol vulnerabilities. Drawing on years of hands-on cybersecurity experience, she delivers in-depth reporting that explains both the technical details and the real-world implications of security incidents across the digital asset ecosystem. Before joining CoinRadar Daily, Olivia built her career in cybersecurity, working in penetration testing, blockchain security assessments, and smart contract auditing. She participated in numerous security reviews for decentralized applications and blockchain protocols, helping identify critical vulnerabilities before they could be exploited. Her responsible disclosure work has contributed to improving the security of several major DeFi projects and protecting millions of dollars in digital assets. Olivia earned a Bachelor of Science in Computer Science from the University of Edinburgh and later completed advanced professional training in offensive security and blockchain technologies. Her combination of software security expertise and blockchain knowledge enables her to provide readers with clear, evidence-based analysis of exploits, protocol upgrades, and emerging attack vectors. At CoinRadar Daily, Olivia publishes detailed investigations into blockchain exploits, smart contract audits, cross-chain security, wallet protection, and evolving cyber threats affecting the crypto industry. She is particularly committed to translating highly technical research into practical guidance that helps investors, developers, and blockchain users better understand protocol risk and security best practices. Alongside her editorial work, Olivia contributes educational resources covering secure wallet management, decentralized finance security, and blockchain infrastructure. She also participates in industry events and technical discussions focused on strengthening Web3 security standards, supporting CoinRadar Daily's mission to provide accurate, research-driven coverage of the rapidly evolving digital asset landscape.

Emily Volker

Reviewed & edited by

Emily VolkerEditor-in-Chief

Editorial Strategy, Investigative Journalism, Crypto Media, E-E-A-T Standards

Emily Volker is the Editor-in-Chief of CoinRadar Daily, where she leads a multilingual editorial team covering cryptocurrency markets, blockchain innovation, Web3, and global digital asset regulation across eight languages. With more than a decade of experience in financial and technology journalism, she has played a key role in developing high editorial standards and trusted reporting within the digital asset industry. Emily began her career as a financial journalist reporting on commodities, energy markets, and emerging technologies before discovering Bitcoin and decentralized finance in the early 2010s. She later moved to London to join one of Europe's early blockchain-focused media organizations, where she advanced into senior editorial leadership. Her experience reporting through both the rapid expansion of the 2017 ICO boom and the subsequent market correction reinforced her commitment to fact-based, research-driven journalism in an industry often influenced by speculation. She holds a Master's degree in International Journalism from City, University of London, and has completed executive studies in digital media strategy through the Reuters Institute at Oxford. Emily is a strong advocate for editorial transparency, rigorous verification, and responsible financial reporting. She also helped integrate Google's E-E-A-T principles—Experience, Expertise, Authoritativeness, and Trustworthiness—into the editorial standards followed by CoinRadar Daily. Under her leadership, CoinRadar Daily has expanded into a global cryptocurrency news platform publishing content in eight languages with a network of editors, analysts, and contributors across four continents. Emily oversees investigative reporting, editorial policy, content quality, and fact-checking processes to ensure every article meets the publication's standards for accuracy, credibility, and independence. Alongside her editorial responsibilities, Emily mentors aspiring journalists through digital media initiatives and regularly speaks at international conferences focused on journalism, fintech, blockchain technology, and digital assets, where she discusses responsible reporting, combating misinformation, and the evolving future of financial media.

CoinRadar Daily content is written by named analysts and checked against our editorial standards. Market data is indicative and informational only — nothing here is financial advice.

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