Yields for the same asset often vary widely across different channels — does that mean whichever channel shows the higher number is the better deal?
Not directly comparable that way, because different channels' yields correspond to fundamentally different kinds of risk, making the raw numbers themselves not apples-to-apples. A lending yield reflects market borrowing demand and, in principle, doesn't involve Token price volatility. A liquidity provision yield needs Impermanent Loss subtracted first before you arrive at the real net return, and the headline figure often overstates it. Staking-type yield is compensation for bearing slashing risk. Simply comparing raw numbers is a bit like comparing a bank CD rate against a stock dividend yield and asking which is "the better deal" — it ignores that the risk structures underneath are completely different.
A more meaningful approach is to first decide which kind of risk you're actually willing to bear — borrower default risk, price volatility risk, or validator behavior risk — and then compare yields across different protocols or channels within that same risk category. That's actually comparing like with like.
If liquidity provision yield needs Impermanent Loss subtracted first, how do you practically judge whether a given pool is actually worth entering?
The first thing to check is the price correlation between the two assets in the pool. Asset pairs whose prices move in close lockstep — two stablecoins, or different wrapped versions of the same asset like ETH and stETH — inherently have limited room for impermanent loss, since their relative price rarely shifts dramatically. By contrast, a pair of assets whose prices move independently and are both volatile carries a much larger potential magnitude of impermanent loss, requiring correspondingly higher fee income to actually break even.
The second thing to check is the pool's actual trading volume relative to its total locked value — the higher that ratio, the more fee income each dollar of liquidity captures, which is also why two pools holding the same volatile asset pair can have wildly different real net returns depending on whether trading activity is brisk or thin. Rather than relying on the headline APY shown in the interface, checking these two indicators directly gives a far more accurate read on whether the yield genuinely holds up after subtracting impermanent loss.
Both Staking yield and Restaking yield are described as 'compensation for bearing risk' — what specifically differs about the risk actually being carried?
Native staking carries a relatively simple risk — mainly the slashing risk covered in [[validator-slashing-mechanism-how-to-avoid-penalty]]. As long as your delegated validator doesn't trigger a clear violation like double signing or a surrounding vote, your assets are essentially not at risk of confiscation, and the risk source is concentrated in a single protocol, a single layer.
Restaking's risk is layered on top of that: your assets are simultaneously exposed to the native staking layer's slashing risk, EigenLayer's core contract risk, and the individual penalty conditions of every AVS your delegated operator serves. If you further deposit a liquid restaking Token into a lending protocol for extra Leverage, you're adding that lending protocol's risk and its Liquidation Oracle's risk on top of everything else. That's also why restaking typically offers a higher yield than native staking — that extra return is essentially the market's price tag for these additional stacked risk layers, not a reward that appeared out of nowhere. The Kelp DAO incident covered in [[restaking-risk-contagion-kelp-dao-case-study]] is exactly a case where this stacked risk genuinely triggered a chain reaction.
If I just want a relatively simple, easy-to-understand on-chain yield channel to start with, which of these four should I begin with?
Looking at risk-structure transparency and verifiability, Stablecoin lending is generally the more approachable entry point — yield directly reflects market borrowing demand, utilization rates and live interest rates can be checked directly on-chain, there's no Token price volatility involved, and risk concentrates mainly on one dimension: the protocol's own Smart Contract security, which is relatively straightforward to evaluate (checking how long the protocol has operated, whether it's been audited by a reputable firm, and whether it has a history of major security incidents).
For liquidity provision as a starting point, prioritize stablecoin-pair pools where both assets' prices move in close lockstep — Impermanent Loss risk in these pools is relatively limited, and the return structure resembles lending's in being easy to understand. Native Staking (especially through a well-established, long-battle-tested protocol) also carries relatively singular risk, mainly the slashing layer. As for Restaking and leveraged liquidity strategies stacked on top, since they involve more risk layers with more complex interdependencies, they're better suited to explore after you've thoroughly understood the risk structure of each of the first three channels on its own.
On-chain yield is often marketed as "just park your coins and watch them earn," and the APY displayed in the interface looks no different from a bank savings rate — but that comparison is itself where the confusion starts. A bank's interest comes from lending your deposit to someone else at a spread, backed by deposit insurance and regulation. On-chain "interest" comes from entirely different mechanisms that vary by channel — some channels genuinely pay a return for a service rendered, while others are closer to compensation for bearing a specific risk. Figuring out exactly where the money you're receiving actually comes from is the first step in judging whether that yield is worth it — and it's the only way to truly see through the question of why a given APY looks unusually high.
Lending protocols (like Aave or Compound) operate closest to how traditional finance works: you deposit an asset into the protocol's Liquidity Pool, other users post different assets as collateral and borrow your deposited asset from that pool, paying interest on the loan. After the protocol takes its cut, that interest gets distributed to everyone who supplied that pool. This means the yield you receive directly reflects how many people are willing to pay how much interest to borrow that specific asset — the higher the borrowing demand and the scarcer the asset in the pool, the higher the rate, which is also why borrowing rates for different assets within the same protocol often vary dramatically. This channel's yield source is relatively transparent and verifiable: you can check the current utilization rate (what portion of deposits are actually being borrowed) and the live interest rate directly on-chain, and it generally doesn't involve Token price volatility risk. The main risks concentrate on the protocol's own Smart Contract security and whether the Liquidation mechanism functions properly when a borrower's collateral value drops.
Depositing two assets in a set ratio into an automated Market Maker (AMM) pool — like Uniswap or Curve — lets other users swap tokens against that pool, and you collect a share of the trading fees from every swap. That's the main source of liquidity provision (LP) yield, essentially proportional to that pool's trading volume — more volume means more fee income for you. But LP yield carries an important risk that marketing language routinely downplays: Impermanent Loss. When the relative price between the two assets in a pool shifts, the value of what you can actually withdraw may end up lower than what you'd have if you'd simply held both assets separately without depositing them into the pool at all. This isn't a rare theoretical edge case — it's an almost structurally inevitable feature of how AMMs are designed; only the magnitude varies with how much prices move. That's also why Stablecoin-to-stablecoin pools (like USDC/USDT) tend to carry relatively low risk, since both assets already trade close to the same value, leaving little room for impermanent loss. Conversely, pools pairing two volatile assets often require subtracting impermanent loss from fee income before you arrive at the actual net return.
As covered in [[validator-slashing-mechanism-how-to-avoid-penalty]], staking yield on a proof-of-stake chain is fundamentally compensation validators earn for providing network security, funded by newly issued tokens (Block rewards) plus user-paid transaction fees — this isn't "interest" so much as a return you earn for taking on the risk that your stake could be slashed. Liquid staking tokens (like stETH) solve the problem of native-staked capital being locked and unusable, letting you earn staking yield while still deploying that token elsewhere across DeFi — but that also means carrying an additional layer of risk: whether the token can reliably maintain its peg to the underlying asset (depeg risk), and whether the protocol issuing that token has any smart contract vulnerabilities of its own.
As covered in more depth in [[restaking-risk-contagion-kelp-dao-case-study]], restaking lets assets you've already staked get reused through protocols like EigenLayer to secure additional Actively Validated Services (AVSs) in exchange for an extra layer of yield — that extra yield has the same underlying nature as native staking yield, compensation for taking on additional risk. The difference is that this time, the risk being carried is layered across several independent systems, and a failure in any one link can implicate the whole stack.
Before chasing a headline APY, trace it back to which of these four channels it actually comes from — a stablecoin lending rate and a volatile-pair LP rate that show the same percentage on the interface are not remotely the same kind of return, and treating them as interchangeable is exactly how people end up surprised by a loss that was structurally built into the mechanism from the start. If a rate looks unusually high relative to others in the same channel, that's rarely free money — it usually means the protocol is newer and less battle-tested, the underlying asset carries more volatility, or the yield is partly subsidized by token incentives that can be cut at any time; check which of those it is before committing capital, not after.