IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03801324.html

Network structures of a centralized and a decentralized market. A direct comparison

Author

Listed:
  • Sylvain Mignot

  • Annick Vignes

    (CAMS - Centre d'Analyse et de Mathématique sociales - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique)

Abstract

A fundamental assumption in economics is that rational individuals act in their own self interest. One implication is that, when trading, buyers are supposed to seek for the lowest price and sellers for the highest one and social interactions are not considered. It is now largely accepted that social relationships affect the efficiency of a market structure (centralized or decentralized) . The objectives of the current study is to examine the network structures of a very specific market : the Boulogne-sur-mer fish market. On this market two market design (auctions and bilateral exchanges) coexist, each beeing used by the same buyers and sellers, exchanging similar goods. For each sub-market we examine (1) the global network structure, (2) the local network structure, and (3) we identify the traders characteristics that best explain the network structures. The objective is to identify the the influence of trust nad the influence of reputation in the individual choices of trading partners. Structural measures are used to characterize networks structures. Exponential random graph models are used to evaluate how trader characteristics explain purchasing patterns, and how the influence of these characteristics vary with the market mechanism. We bring into the light that, when the transaction links on the auction market reflects the economic constraints of the partners, the relationships on the bilateral market depends on something more. Clearly, the prices of the bilateral transactions are the consequences of economics and non economics determinants. At first glance, the stable co-existence of two market structures looks like a paradox. Our results help to understand the distinctive characteristics and functioning of each sub-market. This discussion contributes to the debate about the efficiency of market structures.

Suggested Citation

  • Sylvain Mignot & Annick Vignes, 2022. "Network structures of a centralized and a decentralized market. A direct comparison," Post-Print hal-03801324, HAL.
  • Handle: RePEc:hal:journl:hal-03801324
    Note: View the original document on HAL open archive server: https://hal.science/hal-03801324
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03801324/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sylvain Mignot & Gabriele Tedeschi & Annick Vignes, 2012. "An Agent Based Model of Switching: The Case of Boulogne S/mer Fish Market," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-3.
    2. Ana Babus & Péter Kondor, 2018. "Trading and Information Diffusion in Over‐the‐Counter Markets," Econometrica, Econometric Society, vol. 86(5), pages 1727-1769, September.
    Full references (including those not matched with items on IDEAS)

    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. Sylvain Mignot & Annick Vignes, 2019. "Trust somebody but choose carefully : an empirical analysis of social relationships on an exchange market," Working Papers hal-02005026, HAL.
    2. Sylvain Mignot & Stéphanie Saba & Annick Vignes, 2016. "To trust or to bid: an empirical analysis of social relationships on a fish market," Working Papers halshs-01298872, HAL.
    3. Joseph, Andreas & Vasios, Michalis, 2022. "OTC Microstructure in a period of stress: A Multi-layered network approach," Journal of Banking & Finance, Elsevier, vol. 138(C).
    4. Shuo Liu, 2024. "Social Optimal Search Intensity in Over-the-Counter Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 53, pages 224-282, July.
    5. Sofia Priazhkina & Samuel Palmer & Pablo Martín-Ramiro & Román Orús & Samuel Mugel & Vladimir Skavysh, 2024. "Digital Payments in Firm Networks: Theory of Adoption and Quantum Algorithm," Staff Working Papers 24-17, Bank of Canada.
    6. Eisenschmidt, Jens & Ma, Yiming & Zhang, Anthony Lee, 2024. "Monetary policy transmission in segmented markets," Journal of Financial Economics, Elsevier, vol. 151(C).
    7. De Silva, Dakshina G. & Gertsberg, Marina & Kosmopoulou, Georgia & Pownall, Rachel A.J., 2022. "Evolution of a dealer trading network and its effects on art auction prices," European Economic Review, Elsevier, vol. 144(C).
    8. Lou, Youcheng & Rahi, Rohit, 2023. "Information, market power and welfare," LSE Research Online Documents on Economics 120479, London School of Economics and Political Science, LSE Library.
    9. Rainone, Edoardo, 2020. "The network nature of over-the-counter interest rates," Journal of Financial Markets, Elsevier, vol. 47(C).
    10. Trejos, Alberto & Wright, Randall, 2016. "Search-based models of money and finance: An integrated approach," Journal of Economic Theory, Elsevier, vol. 164(C), pages 10-31.
    11. Semyon Malamud & Marzena Rostek, 2012. "Decentralized Exchange," Working Papers 12-18, NET Institute.
    12. Pedersen, Lasse Heje, 2022. "Game on: Social networks and markets," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1097-1119.
    13. Edoardo Rainone & Francesco Vacirca, 2020. "Estimating the money market microstructure with negative and zero interest rates," Quantitative Finance, Taylor & Francis Journals, vol. 20(2), pages 207-234, February.
    14. Bilan, Andrada & Gündüz, Yalın, 2022. "CDS market structure and bond spreads," Discussion Papers 24/2022, Deutsche Bundesbank.
    15. Babus, Ana & Hu, Tai-Wei, 2017. "Endogenous intermediation in over-the-counter markets," Journal of Financial Economics, Elsevier, vol. 125(1), pages 200-215.
    16. Heumann, Tibor, 2021. "Efficiency in trading markets with multi-dimensional signals," Journal of Economic Theory, Elsevier, vol. 191(C).
    17. Batchimeg Sambalaibat, 2018. "Endogenous Specialization and Dealer Networks," 2018 Meeting Papers 1278, Society for Economic Dynamics.
    18. Georg, Co-Pierre, 2014. "Contagious herding and endogenous network formation in financial networks," Working Paper Series 1700, European Central Bank.
    19. Benjamin Gardner & Yesol Huh, 2024. "Information Friction in OTC Interdealer Markets," Finance and Economics Discussion Series 2024-040, Board of Governors of the Federal Reserve System (U.S.).
    20. Jérôme Dugast & Semih Uslu & Pierre-Olivier Weil, 2018. "Platform Trading with an OTC Market Fringe," Post-Print hal-02104107, HAL.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:hal:journl:hal-03801324. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.