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arxiv 2401.16353 v1 pith:N3QNK4TY submitted 2024-01-29 cs.CR

Empirical and Theoretical Analysis of Liquid Staking Protocols

classification cs.CR
keywords stakingliquidproof-of-stakeprotocolslargestperformancerewardsthey
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Liquid staking has become the largest category of decentralized finance protocols in terms of total value locked. However, few studies exist on its implementation designs or underlying risks. The liquid staking protocols allow for earning staking rewards without the disadvantage of locking the capital at the validators. Yet, they are seen by some as a threat to the Proof-of-Stake blockchain security. This paper is the first work that classifies liquid staking implementations. It analyzes the historical performance of major liquid staking tokens in comparison to the traditional staking for the largest Proof-of-Stake blockchains. Furthermore, the research investigates the impact of centralization, maximum extractable value and the migration of Ethereum from Proof-of-Work to Proof-of-Stake on the tokens' performance. Examining the tracking error of the liquid stacking providers to the staking rewards shows that they are persistent and cannot be explained by macro-variables of the currency, such as the variance or return.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Interoperability Effects: Extending DeFi Lending Risk Models to Multi-Chain Environments

    cs.SI 2026-03 conditional novelty 6.0

    Bridge volume and integrations show heterogeneous effects on DeFi lending TVL and revenue, with more bridges linked to liquidity outflows and bridge hacks to positive performance shifts.

  2. DeFi Yield Aggregators: Analysing Investment Strategies and Structural Dependencies

    cs.CE 2026-05 unverdicted novelty 5.0

    Yearn USDC vault delivered 5.41% annual yield on 15.7M USD while Cian stETH vault delivered 4.22% on 54M USD with higher leverage risk; analysis extends DSR model to expose structural dependencies.

  3. Financial Dynamics and Interconnected Risk of Liquid Restaking

    q-fin.GN 2026-03 unverdicted novelty 5.0

    Renzo liquid restaking revenue is primarily predicted by EigenLayer value locked, token yield, and multi-blockchain expansion, with current bridge risks not imposing systemic threats to the restaking ecosystem.