Paper: arXiv 2401.08610

Authors: Xihan Xiong, Zhipeng Wang, Xi Chen, William Knottenbelt, Michael Huth

Abstract

In the Proof of Stake (PoS) Ethereum ecosystem, users can stake ETH on Lido to receive stETH, a Liquid Staking Derivative (LSD) that represents staked ETH and accrues staking rewards. LSDs improve the liquidity of staked assets by facilitating their use in secondary markets, such as for collateralized borrowing on Aave or asset exchanges on Curve. The composability of Lido, Aave, and Curve enables an emerging strategy known as leverage staking, an iterative process that enhances financial returns while introducing potential risks. This paper establishes a formal framework for leverage staking with stETH and identifies 442 such positions on Ethereum over 963 days. These positions represent a total volume of 537,123 ETH (877m USD). Our data reveal that 81.7% of leverage staking positions achieved an Annual Percentage Rate (APR) higher than conventional staking on Lido. Despite the high returns, we also recognize the potential risks. For example, the Terra crash incident demonstrated that token devaluation can impact the market. Therefore, we conduct stress tests under extreme conditions of significant stETH devaluation to evaluate the associated risks. Our simulations reveal that leverage staking amplifies the risk of cascading liquidations by triggering intensified selling pressure through liquidation and deleveraging processes. Furthermore, this dynamic not only accelerates the decline of stETH prices but also propagates a contagion effect, endangering the stability of both leveraged and ordinary positions.

Complexity vs Empirical Score

  • Math Complexity: 4.5/10
  • Empirical Rigor: 6.0/10 (capped from 8.0: no out-of-sample test; see penalty flags)
  • Quadrant: Street Traders — practical and empirical, lighter on theory

Why this score: This paper presents a strong empirical evaluation of leverage staking dynamics in DeFi using a large historical dataset of Ethereum transactions. While the mathematical formulations are accessible rather than deeply theoretical, the stress testing and cascading liquidation simulations provide rigorous insights into systemic risk.

Research Flowchart

  flowchart TD
    A["Research Question: Opportunities & Risks<br>of LSD Leverage Staking (stETH)"] --> B["Data Collection: 442 Positions<br>(537,123 ETH Volume over 963 Days)"]
    B --> C["Empirical Yield Analysis"]
    B --> D["Stress Testing & Devaluation Simulations"]
    C --> E["Finding: 81.7% of Leveraged Positions<br>Outperformed Lido Base Staking APR"]
    D --> F["Finding: Devaluation Triggers Cascading<br>Liquidations & Contagion Risks"]

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2 of 386 cited works are in the corpus; resolved via arXiv source bundles, Semantic Scholar and OpenAlex. Corpus-wide: 2518 linked papers.