Asset Pricing: Cryptoassets
Paper Session
Sunday, Jan. 7, 2024 1:00 PM - 3:00 PM (CST)
- Chair: Catherine Casamatta, Toulouse School of Management
The Need for Fees at a DEX: How Increases in Fees Can Increase DEX Trading Volume
Abstract
We model endogenous trading and liquidity provision at a decentralized exchange (DEX) and demonstrate that increasing DEX trading fees can increase DEX trading volume. DEXs employ a mechanical pricing rule whereby price impacts decrease with inventory which DEXs acquire only by offering fee revenues to investors. Consequently, higher DEX fees can incentivize higher inventory, thereby reducing price impacts. Moreover, the price impact reduction can offset the fee increase so that the trading costs for marginal DEX traders decline despite paying higher trading fees. In turn, lower trading costs drive trading activity to the DEX, generating an increase in trading volume.Trust in DeFi: An Empirical Study of the Decentralized Exchange
Abstract
We empirically study the role of the decentralized cryptocurrency exchange (DEX) in guiding cryptocurrency trading. Investors trust the DEX: DEX’s userbase information affects investor trading on the centralized cryptocurrency exchange (CEX). This effect intensifies during instances of market manipulation––“wash trading”—on the CEX or when investors have more concerns about it. Conversely, CEX’s userbase doesn’t reciprocally impact CEX trading. Using the “yield-farming” program launch as quasi-exogenous shocks, we confirm DEX’s causal impact on CEX trading. Our study highlights that the DEX can foster efficient, transparent trading structures where trustworthy centralized mechanisms are impractical or costly.Price Discovery on Decentralized Exchanges
Abstract
In contrast to centralized exchanges, decentralized exchanges (DEXs) process orders in discrete time and require traders to bid a priority fee to determine the execution priority. We employ a structural vector-autoregressive model to provide evidence that the priority fee reveals the private information of a DEX trade, contributing to price discovery. A one-standard deviation shock in the high-fee DEX trade flow leads to a permanent price impact between 4.27 and 8.16 basis points. We show that informed traders bid high fees not only to reduce execution risk but also to compete with each other. Using a unique dataset of Ethereum mempool orders, we lend support to the hypothesis that informed traders primarily compete on DEXs following a jump-bidding strategy.Discussant(s)
Julia Reynolds
,
Securities and Exchange Commission
Marius Zoican
,
University of Toronto
Olga Klein
,
University of Warwick
Chen Yao
,
Chinese University of Hong Kong
JEL Classifications
- G1 - General Financial Markets