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Centralized vs Decentralized Markets: The Role of Connectivity

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Listed:
  • Simone Alfarano
  • Albert Banal-Estañol
  • Eva Camacho
  • Giulia Iori
  • Burcu Kapar
  • Rohit Rahi

Abstract

We consider a setting in which privately informed agents are located in a network and trade a risky asset with other agents with whom they are directly connected. We compare the performance, both theoretically and experimentally, of a complete network (centralized market) to incomplete networks with differing levels of connectivity (decentralized markets). We show that decentralized markets can deliver higher informational efficiency, with prices closer to fundamentals, as well as higher welfare for mean-variance investors.

Suggested Citation

  • Simone Alfarano & Albert Banal-Estañol & Eva Camacho & Giulia Iori & Burcu Kapar & Rohit Rahi, 2024. "Centralized vs Decentralized Markets: The Role of Connectivity," Working Papers 1420, Barcelona School of Economics.
    • Handle: RePEc:bge:wpaper:1420
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    1. Ana Babus & Péter Kondor, 2018. "Trading and Information Diffusion in Over‐the‐Counter Markets," Econometrica, Econometric Society, vol. 86(5), pages 1727-1769, September.
    2. Ruiz-Buforn, Alba & Camacho-Cuena, Eva & Morone, Andrea & Alfarano, Simone, 2021. "Overweighting of public information in financial markets: A lesson from the lab," Journal of Banking & Finance, Elsevier, vol. 133(C).
    3. Plott, Charles R & Sunder, Shyam, 1982. "Efficiency of Experimental Security Markets with Insider Information: An Application of Rational-Expectations Models," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 663-698, August.
    4. Bruno Biais & Denis Hilton & Karine Mazurier & Sébastien Pouget, 2005. "Judgemental Overconfidence, Self-Monitoring, and Trading Performance in an Experimental Financial Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(2), pages 287-312.
    5. Helena Veiga & Marc Vorsatz, 2010. "Information aggregation in experimental asset markets in the presence of a manipulator," Experimental Economics, Springer;Economic Science Association, vol. 13(4), pages 379-398, December.
    6. Erik Eyster & Matthew Rabin & Dimitri Vayanos, 2019. "Financial Markets Where Traders Neglect the Informational Content of Prices," Journal of Finance, American Finance Association, vol. 74(1), pages 371-399, February.
    7. Plott, Charles R & Sunder, Shyam, 1988. "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Econometrica, Econometric Society, vol. 56(5), pages 1085-1118, September.
    8. Sunder, Shyam, 1992. "Market for Information: Experimental Evidence," Econometrica, Econometric Society, vol. 60(3), pages 667-695, May.
    9. Elena Asparouhova & Peter Bossaerts, 2017. "Experiments on Percolation of Information in Dark Markets," Economic Journal, Royal Economic Society, vol. 127(605), pages 518-544, October.
    10. Schnitzlein, Charles R, 1996. "Call and Continuous Trading Mechanisms under Asymmetric Information: An Experimental Investigation," Journal of Finance, American Finance Association, vol. 51(2), pages 613-636, June.
    11. Paolo Colla & Antonio Mele, 2010. "Information Linkages and Correlated Trading," The Review of Financial Studies, Society for Financial Studies, vol. 23(1), pages 203-246, January.
    12. Daniele Condorelli & Andrea Galeotti & Ludovic Renou, 2017. "Bilateral Trading in Networks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(1), pages 82-105.
    13. Forsythe, Robert & Lundholm, Russell, 1990. "Information Aggregation in an Experimental Market," Econometrica, Econometric Society, vol. 58(2), pages 309-347, March.
    14. Mikhail Golosov & Guido Lorenzoni & Aleh Tsyvinski, 2014. "Decentralized Trading With Private Information," Econometrica, Econometric Society, vol. 82(3), pages 1055-1091, May.
    15. Brice Corgnet & Mark DeSantis & David Porter, 2015. "Revisiting Information Aggregation in Asset Markets: Reflective Learning & Market Efficiency," Working Papers 15-15, Chapman University, Economic Science Institute.
    16. Peter Bossaerts & Cary Frydman & John Ledyard, 2014. "The Speed of Information Revelation and Eventual Price Quality in Markets with Insiders: Comparing Two Theories," Review of Finance, European Finance Association, vol. 18(1), pages 1-22.
    17. Martin D. Gould & Mason A. Porter & Sam D. Howison, 2017. "Quasi-centralized limit order books," Quantitative Finance, Taylor & Francis Journals, vol. 17(6), pages 831-853, June.
    18. Daniel Chen & Darrell Duffie, 2021. "Market Fragmentation," American Economic Review, American Economic Association, vol. 111(7), pages 2247-2274, July.
    19. Theissen, Erik, 2000. "Market structure, informational efficiency and liquidity: An experimental comparison of auction and dealer markets," Journal of Financial Markets, Elsevier, vol. 3(4), pages 333-363, November.
    20. Ozsoylev, Han N. & Walden, Johan, 2011. "Asset pricing in large information networks," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2252-2280.
    21. Peter M. DeMarzo & Dimitri Vayanos & Jeffrey Zwiebel, 2003. "Persuasion Bias, Social Influence, and Unidimensional Opinions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 909-968.
    22. Edward Halim & Yohanes E. Riyanto & Nilanjan Roy, 2019. "Costly Information Acquisition, Social Networks, and Asset Prices: Experimental Evidence," Journal of Finance, American Finance Association, vol. 74(4), pages 1975-2010, August.
    23. Milgrom, Paul & Stokey, Nancy, 1982. "Information, trade and common knowledge," Journal of Economic Theory, Elsevier, vol. 26(1), pages 17-27, February.
    24. Lionel Page & Christoph Siemroth, 2021. "How Much Information Is Incorporated into Financial Asset Prices? Experimental Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 34(9), pages 4412-4449.
    25. Hanson, Robin & Oprea, Ryan & Porter, David, 2006. "Information aggregation and manipulation in an experimental market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(4), pages 449-459, August.
    26. Elena Asparouhova & Peter Bossaerts, 2017. "Experiments on Percolation of Information in Dark Markets," Economic Journal, Royal Economic Society, vol. 127(605), pages 518-544.
    27. Semyon Malamud & Marzena Rostek, 2017. "Decentralized Exchange," American Economic Review, American Economic Association, vol. 107(11), pages 3320-3362, November.
    28. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    29. Max R. Blouin & Roberto Serrano, 2001. "A Decentralized Market with Common Values Uncertainty: Non-Steady States," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(2), pages 323-346.
    30. Rachel E. Kranton & Deborah F. Minehart, 2001. "A Theory of Buyer-Seller Networks," American Economic Review, American Economic Association, vol. 91(3), pages 485-508, June.
    31. Brice Corgnet & Cary Deck & Mark DeSantis & Kyle Hampton & Erik O. Kimbrough, 2023. "When Do Security Markets Aggregate Dispersed Information?," Management Science, INFORMS, vol. 69(6), pages 3697-3729, June.
    32. Attanasi, Giuseppe & Centorrino, Samuele & Moscati, Ivan, 2016. "Over-the-counter markets vs. double auctions: A comparative experimental study," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 22-35.
    33. Arun G. Chandrasekhar & Horacio Larreguy & Juan Pablo Xandri, 2020. "Testing Models of Social Learning on Networks: Evidence From Two Experiments," Econometrica, Econometric Society, vol. 88(1), pages 1-32, January.
    34. Darrell Duffie & Gustavo Manso, 2007. "Information Percolation in Large Markets," American Economic Review, American Economic Association, vol. 97(2), pages 203-209, May.
    35. Bing Han & Liyan Yang, 2013. "Social Networks, Information Acquisition, and Asset Prices," Management Science, INFORMS, vol. 59(6), pages 1444-1457, June.
    36. Marzena Rostek & Ji Hee Yoon, 2021. "Exchange Design and Efficiency," Econometrica, Econometric Society, vol. 89(6), pages 2887-2928, November.
    37. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
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    More about this item

    Keywords

    Networks; heuristic learning; informational efficiency; experimental asset markets;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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