Empirical and Theoretical Analysis of Liquid Staking Protocols
Krzysztof Gogol, Benjamin Kraner, Malte Schlosser, Tao Yan, Claudio, Tessone, Burkhard Stiller

TL;DR
This paper provides an empirical and theoretical analysis of liquid staking protocols, classifying their implementations, comparing their performance to traditional staking, and examining associated risks and security implications.
Contribution
It is the first study to classify liquid staking implementations and analyze their performance and risks in the context of major Proof-of-Stake blockchains.
Findings
Liquid staking tokens outperform traditional staking in some metrics.
Centralization and Ethereum's migration impact token performance.
Tracking error of liquid staking providers is persistent and not macro-variable dependent.
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed systems and fault tolerance · Software Testing and Debugging Techniques · Energy Efficient Wireless Sensor Networks
