The Potential of Self-Regulation for Front-Running Prevention on DEXes
Lioba Heimbach, Eric Schertenleib, Roger Wattenhofer

TL;DR
This paper models how self-regulation through market design and participant incentives can reduce front-running on decentralized exchanges, highlighting the importance of trader education and incentives for effective adoption.
Contribution
It introduces a game-theoretic model analyzing trader and liquidity provider behavior, revealing conditions under which front-running can be mitigated without external regulation.
Findings
Less than 1% retail order flow aligns incentives to eliminate front-running.
Around 10% retail order flow causes liquidity providers to avoid protective pools.
Market self-regulation requires trader education and additional incentives.
Abstract
The transaction ordering dependency of the smart contracts building decentralized exchanges (DEXes) allow for predatory trading strategies. In particular, front-running attacks present a constant risk for traders on DEXes. Whereas legal regulation outlaws most front-running practices in traditional finance, such measures are ineffective in preventing front-running on DEXes. While novel market designs hindering front-running may emerge, it remains unclear whether the market's participants, in particular, liquidity providers, would be willing to adopt these new designs. A misalignment of the participant's private incentives and the market's social incentives can hinder the market from adopting an effective prevention mechanism. We present a game-theoretic model to study the behavior of sophisticated traders, retail traders, and liquidity providers in DEXes. Sophisticated traders adjust…
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Taxonomy
TopicsAuction Theory and Applications · Blockchain Technology Applications and Security · Banking stability, regulation, efficiency
