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Decentralised dealers? examining liquidity provision in decentralised exchanges

Author

Listed:
  • Matteo Aquilina
  • Sean Foley
  • Leonardo Gambacorta
  • William Krekel

Abstract

Decentralised exchanges allow participants to buy and sell assets without the need for intermediaries, in theory democratising liquidity provision. However, using data from the largest decentralised exchange, we show that liquidity provision – rather than being the purview of a diffused set of market participants – is instead confined predominantly to a small group o f sophisticated ones. These participants submit orders that mimic bids and asks and are able to extract significantly higher profits (both in absolute and relative terms) compared to their unsophisticated counterparts. They also exhibit considerable skill, extracting higher profits during periods of high volatility by capturing a higher share of trading without incurring additional adverse selection.

Suggested Citation

  • Matteo Aquilina & Sean Foley & Leonardo Gambacorta & William Krekel, 2024. "Decentralised dealers? examining liquidity provision in decentralised exchanges," BIS Working Papers 1227, Bank for International Settlements.
    • Handle: RePEc:bis:biswps:1227
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    References listed on IDEAS

    as
    1. Lin William Cong & Ke Tang & Yanxin Wang & Xi Zhao, 2023. "Inclusion and Democratization Through Web3 and DeFi? Initial Evidence from the Ethereum Ecosystem," NBER Working Papers 30949, National Bureau of Economic Research, Inc.
    2. Jiahua Xu & Krzysztof Paruch & Simon Cousaert & Yebo Feng, 2021. "SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols," Papers 2103.12732, arXiv.org, revised Mar 2023.
    3. Giulio Cornelli & Leonardo Gambacorta & Rodney Garratt & Alessio Reghezza, 2024. "Why DeFi lending? Evidence from Aave V2," BIS Working Papers 1183, Bank for International Settlements.
    4. Foley, Sean & Putniņš, Tālis J., 2016. "Should we be afraid of the dark? Dark trading and market quality," Journal of Financial Economics, Elsevier, vol. 122(3), pages 456-481.
    5. Marco Pagano, 1989. "Endogenous Market Thinness and Stock Price Volatility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(2), pages 269-287.
    6. Stefan Loesch & Nate Hindman & Mark B Richardson & Nicholas Welch, 2021. "Impermanent Loss in Uniswap v3," Papers 2111.09192, arXiv.org.
    7. Brogaard, Jonathan & Carrion, Allen & Moyaert, Thibaut & Riordan, Ryan & Shkilko, Andriy & Sokolov, Konstantin, 2018. "High frequency trading and extreme price movements," Journal of Financial Economics, Elsevier, vol. 128(2), pages 253-265.
    8. Eric Budish & Peter Cramton & John Shim, 2015. "Editor's Choice The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1547-1621.
    9. Foley, Sean & Krekel, William & Mollica, Vito & Svec, Jiri, 2023. "Not so fast: Identifying and remediating slow and imprecise cryptocurrency exchange data," Finance Research Letters, Elsevier, vol. 51(C).
    10. Agostino Capponi & Ruizhe Jia, 2021. "The Adoption of Blockchain-based Decentralized Exchanges," Papers 2103.08842, arXiv.org, revised Jul 2021.
    11. Harold Demsetz, 1968. "The Cost of Transacting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 82(1), pages 33-53.
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    More about this item

    Keywords

    market design; market making; liquidity; automated market maker; decentralised finance;
    All these keywords.

    JEL classification:

    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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