IDEAS home Printed from https://ideas.repec.org/p/fip/fednsr/98219.html

Natural Centralization in Decentralized Finance

Author

Abstract

Can centralization arise absent barriers to entry? We confront this question by studying the Ethereum blockchain, a market featuring permissionless entry, standardized protocols, and a transparent public ledger. We show that natural centralization emerges when information asymmetry confronts risk-sharing. Using a novel dataset distinguishing private from public order flow, we find that a 1 percent increase in the value of private information causally increases an intermediary’s profit share by 0.57 percent. We use a dynamic bargaining model to illustrate that intermediaries leverage private information by threatening to withhold valuable trades, creating an outside option that sustains their market power. Our results provide causal evidence that information can be a fundamental source of endogenous centralization in the market structure, demonstrating how natural oligopolies can emerge even in purportedly decentralized economies.

Suggested Citation

  • Pablo D. Azar & Adrian Casillas & Maryam Farboodi, 2024. "Natural Centralization in Decentralized Finance," Staff Reports 1102, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednsr:98219
    DOI: 10.59576/sr.1102
    Note: Revised August 2025. Previous title: “Information and Market Power in DeFi Intermediation.”
    as

    Download full text from publisher

    File URL: https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr1102.pdf
    File Function: Full text
    Download Restriction: no

    File URL: https://www.newyorkfed.org/research/staff_reports/sr1102.html
    File Function: Summary
    Download Restriction: no

    File URL: https://libkey.io/10.59576/sr.1102?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Michael Sockin & Wei Xiong, 2020. "A Model of Cryptocurrencies," NBER Working Papers 26816, National Bureau of Economic Research, Inc.
    2. Jason Milionis & Ciamac C. Moallemi & Tim Roughgarden, 2023. "Automated Market Making and Arbitrage Profits in the Presence of Fees," Papers 2305.14604, arXiv.org, revised Jul 2025.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Phoebe Tian & Yu Zhu, 2025. "Liquidation Mechanisms and Price Impacts in DeFi," Staff Working Papers 25-12, Bank of Canada.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huang, Guan-Ying & Gau, Yin-Feng & Wu, Zhen-Xing, 2022. "Price discovery in fiat currency and cryptocurrency markets," Finance Research Letters, Elsevier, vol. 47(PA).
    2. Yannis Bakos & Hanna Halaburda, 2022. "Overcoming the Coordination Problem in New Marketplaces via Cryptographic Tokens," Information Systems Research, INFORMS, vol. 33(4), pages 1368-1385, December.
    3. Masaaki Fukasawa & Basile Maire & Marcus Wunsch, 2025. "Liquidity provision of utility indifference type in decentralized exchanges," Digital Finance, Springer, vol. 7(2), pages 255-273, June.
    4. Wang, Qiyu & Chong, Terence Tai-Leung, 2021. "Factor pricing of cryptocurrencies," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    5. Jongsub Lee & Tao Li & Donghwa Shin, 2022. "The Wisdom of Crowds in FinTech: Evidence from Initial Coin Offerings," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 11(1), pages 1-46.
    6. Arkorful, Gideon Bruce & Chen, Haiqiang & Gu, Ming & Liu, Xiaoqun, 2023. "What can we learn from the convenience yield of Bitcoin? Evidence from the COVID-19 crisis," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 141-153.
    7. Fabi, Michele & Prat, Julien, 2025. "The economics of Constant Function Market Makers," Journal of Corporate Finance, Elsevier, vol. 91(C).
    8. Stylianos Asimakopoulos & Marco Lorusso & Francesco Ravazzolo, 2023. "A Bayesian DSGE Approach to Modelling Cryptocurrency"," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 1012-1035, December.
    9. Yang, Jen-Wei & Chiu, Shih-Yung & Yen, Kuang-Chieh, 2023. "Does the realized distribution-based measure dominate particular moments? Evidence from cryptocurrency markets," Finance Research Letters, Elsevier, vol. 51(C).
    10. Nakagawa, Kei & Sakemoto, Ryuta, 2022. "Cryptocurrency network factors and gold," Finance Research Letters, Elsevier, vol. 46(PB).
    11. Alif Aqsha & Philippe Bergault & Leandro S'anchez-Betancourt, 2025. "Equilibrium Reward for Liquidity Providers in Automated Market Makers," Papers 2503.22502, arXiv.org.
    12. Jermann, Urban J., 2021. "Cryptocurrencies and Cagan’s model of hyperinflation," Journal of Macroeconomics, Elsevier, vol. 69(C).
    13. Dulani Jayasuriya Daluwathumullagamage & Alexandra Sims, 2020. "Blockchain-Enabled Corporate Governance and Regulation," IJFS, MDPI, vol. 8(2), pages 1-41, June.
    14. Emilio Abad-Segura & Alfonso Infante-Moro & Mariana-Daniela González-Zamar & Eloy López-Meneses, 2021. "Blockchain Technology for Secure Accounting Management: Research Trends Analysis," Mathematics, MDPI, vol. 9(14), pages 1-26, July.
    15. Manavi, Seyed Alireza & Jafari, Gholamreza & Rouhani, Shahin & Ausloos, Marcel, 2020. "Demythifying the belief in cryptocurrencies decentralized aspects. A study of cryptocurrencies time cross-correlations with common currencies, commodities and financial indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    16. Shah, Anand, 2022. "Valuation of Loyalty Tokens," MPRA Paper 111986, University Library of Munich, Germany.
    17. 'Alvaro Cartea & Fayc{c}al Drissi & Marcello Monga, 2023. "Decentralised Finance and Automated Market Making: Predictable Loss and Optimal Liquidity Provision," Papers 2309.08431, arXiv.org, revised Jun 2024.
    18. Zhang, Wei & Li, Yi & Xiong, Xiong & Wang, Pengfei, 2021. "Downside risk and the cross-section of cryptocurrency returns," Journal of Banking & Finance, Elsevier, vol. 133(C).
    19. Anton Miglo, 2022. "Theories of Crowdfunding and Token Issues: A Review," JRFM, MDPI, vol. 15(5), pages 1-28, May.
    20. Elli Kraizberg, 2023. "Non-fungible tokens: a bubble or the end of an era of intellectual property rights," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-20, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • 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
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fednsr:98219. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gabriella Bucciarelli (email available below). General contact details of provider: https://edirc.repec.org/data/frbnyus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.