IDEAS home Printed from https://ideas.repec.org/a/spr/joecth/v72y2021i1d10.1007_s00199-020-01280-2.html
   My bibliography  Save this article

A Model of Secular Migration from Centralized to Decentralized Trade

Author

Listed:
  • Zhifeng Cai

    (Rutgers University)

  • Feng Dong

    (Tsinghua University)

Abstract

A large number of financial assets are traded in both exchanges and over-the-counter markets (i.e., centralized and decentralized markets, CM and DM hereafter, respectively). Moreover, as documented by Biais and Green (Rev Econ Dyn 33:250–271, 2019), the twentieth century has witnessed a secular migration of asset trade from CM to DM. To this end, this paper develops a tractable model on strategic selection of venue trading to study the causes and consequences of the endogenous coexistence of CM and DM. In the model, traders’ choice of venue is shaped by the trade-off between information frictions in the CM and matching frictions in the DM. Closed-form solutions are obtained and used to characterize the endogenous share of trade across the two venues. We then use the model to evaluate two potential explanations of the migration from CM to DM: improvements in matching technologies and increases in the number of institutional investors. Surprisingly, while both forces could lead to more trade in DM, there exist parameter regions where the increase in the number of institutional investors leads to less trade in DM. We also obtain empirically testable implications that differentiate the two explanations.

Suggested Citation

  • Zhifeng Cai & Feng Dong, 2021. "A Model of Secular Migration from Centralized to Decentralized Trade," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 72(1), pages 201-244, July.
  • Handle: RePEc:spr:joecth:v:72:y:2021:i:1:d:10.1007_s00199-020-01280-2
    DOI: 10.1007/s00199-020-01280-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00199-020-01280-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00199-020-01280-2?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lester, Benjamin & Weill, Pierre-Olivier & Hugonnier, Julien, 2022. "Heterogeneity in decentralized asset markets," Theoretical Economics, Econometric Society, vol. 17(3), July.
    2. Daisuke Ikeda & Toan Phan, 2016. "Toxic asset bubbles," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 61(2), pages 241-271, February.
      • Daisuke Ikeda & Toan Phan, 2016. "Toxic asset bubbles," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 61(2), pages 241-271, February.
    3. Ricardo Lagos & Randall Wright, 2005. "A Unified Framework for Monetary Theory and Policy Analysis," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 463-484, June.
    4. Veronica Guerrieri & Robert Shimer & Randall Wright, 2010. "Adverse Selection in Competitive Search Equilibrium," Econometrica, Econometric Society, vol. 78(6), pages 1823-1862, November.
    5. Veronica Guerrieri & Robert Shimer, 2014. "Dynamic Adverse Selection: A Theory of Illiquidity, Fire Sales, and Flight to Quality," American Economic Review, American Economic Association, vol. 104(7), pages 1875-1908, July.
    6. Feng Dong & Pengfei Wang & Yi Wen, 2016. "Credit search and credit cycles," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 61(2), pages 215-239, February.
    7. Andolfatto, David & Berentsen, Aleksander & Waller, Christopher, 2014. "Optimal disclosure policy and undue diligence," Journal of Economic Theory, Elsevier, vol. 149(C), pages 128-152.
    8. Jonathan Chiu & Thorsten V. Koeppl, 2016. "Trading Dynamics with Adverse Selection and Search: Market Freeze, Intervention and Recovery," Review of Economic Studies, Oxford University Press, vol. 83(3), pages 969-1000.
    9. Veronica Guerrieri & Robert Shimer, 2018. "Markets with Multidimensional Private Information," American Economic Journal: Microeconomics, American Economic Association, vol. 10(2), pages 250-274, May.
    10. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 24(Win), pages 14-23.
    11. Benjamin Lester & Ali Shourideh & Venky Venkateswaran & Ariel Zetlin-Jones, 2019. "Screening and Adverse Selection in Frictional Markets," Journal of Political Economy, University of Chicago Press, vol. 127(1), pages 338-377.
    12. Ricardo Lagos & Guillaume Rocheteau, 2009. "Liquidity in Asset Markets With Search Frictions," Econometrica, Econometric Society, vol. 77(2), pages 403-426, March.
    13. Bruno Biais & Richard Green, 2019. "The Microstructure of the Bond Market in the 20th Century," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 33, pages 250-271, July.
    14. Hasbrouck, Joel, 2007. "Empirical Market Microstructure: The Institutions, Economics, and Econometrics of Securities Trading," OUP Catalogue, Oxford University Press, number 9780195301649, Decembrie.
    15. 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.
    16. John Rust & George Hall, 2003. "Middlemen versus Market Makers: A Theory of Competitive Exchange," Journal of Political Economy, University of Chicago Press, vol. 111(2), pages 353-403, April.
    17. Jullien, Bruno, 2000. "Participation Constraints in Adverse Selection Models," Journal of Economic Theory, Elsevier, vol. 93(1), pages 1-47, July.
    18. Jonathan Chiu & Thorsten V. Koeppl, 2016. "Trading Dynamics with Adverse Selection and Search: Market Freeze, Intervention and Recovery," Review of Economic Studies, Oxford University Press, vol. 83(3), pages 969-1000.
    19. Jianjun Miao, 2006. "A search model of centralized and decentralized trade," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(1), pages 68-92, January.
    20. Saki Bigio, 2015. "Endogenous Liquidity and the Business Cycle," American Economic Review, American Economic Association, vol. 105(6), pages 1883-1927, June.
    21. Frederic Malherbe, 2014. "Self-Fulfilling Liquidity Dry-Ups," Journal of Finance, American Finance Association, vol. 69(2), pages 947-970, April.
    22. Andrew G. Atkeson & Andrea L. Eisfeldt & Pierre‐Olivier Weill, 2015. "Entry and Exit in OTC Derivatives Markets," Econometrica, Econometric Society, vol. 83, pages 2231-2292, November.
    23. Zhang, Shengxing, 2018. "Liquidity misallocation in an over-the-counter market," Journal of Economic Theory, Elsevier, vol. 174(C), pages 16-56.
    24. Peter DeMarzo & Darrell Duffie, 1999. "A Liquidity-Based Model of Security Design," Econometrica, Econometric Society, vol. 67(1), pages 65-100, January.
    25. Patrick Bolton & Tano Santos & Jose A. Scheinkman, 2011. "Outside and Inside Liquidity," The Quarterly Journal of Economics, Oxford University Press, vol. 126(1), pages 259-321.
    26. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    27. Athanasios Geromichalos & Lucas Herrenbrueck, 2016. "Monetary Policy, Asset Prices, and Liquidity in Over‐the‐Counter Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(1), pages 35-79, February.
    28. Williamson, Steve & Wright, Randall, 1994. "Barter and Monetary Exchange under Private Information," American Economic Review, American Economic Association, vol. 84(1), pages 104-123, March.
    29. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    30. Patrick Bolton & Tano Santos & Jose A. Scheinkman, 2016. "Cream-Skimming in Financial Markets," Journal of Finance, American Finance Association, vol. 71(2), pages 709-736, April.
    31. Levine, Ross, 2005. "Finance and Growth: Theory and Evidence," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 12, pages 865-934, Elsevier.
    32. Benhabib, Jess & Dong, Feng & Wang, Pengfei, 2018. "Adverse selection and self-fulfilling business cycles," Journal of Monetary Economics, Elsevier, vol. 94(C), pages 114-130.
    33. Feng Dong & Jianjun Miao & Pengfei Wang, 2018. "The perils of credit booms," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 66(4), pages 819-861, December.
    34. Jean Tirole, 2012. "Overcoming Adverse Selection: How Public Intervention Can Restore Market Functioning," American Economic Review, American Economic Association, vol. 102(1), pages 29-59, February.
    35. Benjamin Lester & Andrew Postlewaite & Randall Wright, 2012. "Information, Liquidity, Asset Prices, and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1209-1238.
    36. Pablo Kurlat, 2013. "Lemons Markets and the Transmission of Aggregate Shocks," American Economic Review, American Economic Association, vol. 103(4), pages 1463-1489, June.
    37. Lewis, Tracy R. & Sappington, David E. M., 1989. "Countervailing incentives in agency problems," Journal of Economic Theory, Elsevier, vol. 49(2), pages 294-313, December.
    38. Kyungmin Kim, 2012. "Endogenous market segmentation for lemons," RAND Journal of Economics, RAND Corporation, vol. 43(3), pages 562-576, September.
    39. Maggi G. & Rodriguez-Clare A., 1995. "On Countervailing Incentives," Journal of Economic Theory, Elsevier, vol. 66(1), pages 238-263, June.
    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. Weill, Pierre-Olivier, 2020. "The search theory of OTC markets," CEPR Discussion Papers 14847, C.E.P.R. Discussion Papers.
    2. Madison, Florian, 2019. "Frictional asset reallocation under adverse selection," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 115-130.
    3. Seyed Mohammadreza Davoodalhosseini, 2020. "Adverse Selection With Heterogeneously Informed Agents," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(3), pages 1307-1358, August.
    4. Wang, Zijian, 2020. "Liquidity and private information in asset markets: To signal or not to signal," Journal of Economic Theory, Elsevier, vol. 190(C).
    5. Camargo, Braz & Lester, Benjamin, 2014. "Trading dynamics in decentralized markets with adverse selection," Journal of Economic Theory, Elsevier, vol. 153(C), pages 534-568.
    6. Taneli Mäkinen & Francesco Palazzo, 2017. "The double bind of asymmetric information in over-the-counter markets," Temi di discussione (Economic working papers) 1128, Bank of Italy, Economic Research and International Relations Area.
    7. Benhabib, Jess & Dong, Feng & Wang, Pengfei, 2018. "Adverse selection and self-fulfilling business cycles," Journal of Monetary Economics, Elsevier, vol. 94(C), pages 114-130.
    8. Bajaj, Ayushi, 2018. "Undefeated equilibria of the Shi–Trejos–Wright model under adverse selection," Journal of Economic Theory, Elsevier, vol. 176(C), pages 957-986.
    9. Davoodalhosseini, Seyed Mohammadreza, 2019. "Constrained efficiency with adverse selection and directed search," Journal of Economic Theory, Elsevier, vol. 183(C), pages 568-593.
    10. Choi, Michael, 2018. "Imperfect information transmission and adverse selection in asset markets," Journal of Economic Theory, Elsevier, vol. 176(C), pages 619-649.
    11. Baek, Seungjun, 2022. "Optimal policy in lemon markets with flexible information acquisition," Economic Modelling, Elsevier, vol. 106(C).
    12. Lester, Benjamin & Weill, Pierre-Olivier & Hugonnier, Julien, 2022. "Heterogeneity in decentralized asset markets," Theoretical Economics, Econometric Society, vol. 17(3), July.
    13. Athanasios Geromichalos & Kuk Mo Jung, 2019. "Monetary policy and efficiency in over-the-counter financial trade," Canadian Journal of Economics, Canadian Economics Association, vol. 52(4), pages 1699-1754, November.
    14. Gabrovski, Miroslav & Kospentaris, Ioannis, 2021. "Intermediation in over-the-counter markets with price transparency," Journal of Economic Theory, Elsevier, vol. 198(C).
    15. Saki Bigio & Liyan Shi, 2020. "Repurchase Options in the Market for Lemons," Working Papers 169, Peruvian Economic Association.
    16. Benjamin Lester & Guillaume Rocheteau & Pierre‐Olivier Weill, 2015. "Competing for Order Flow in OTC Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S2), pages 77-126, June.
    17. Davoodalhosseini, Seyed Mohammadreza, 2022. "Optimal taxation in asset markets with adverse selection," European Economic Review, Elsevier, vol. 147(C).
    18. Dong, Feng & Wang, Pengfei & Wen, Yi, 2020. "A search-based neoclassical model of capital reallocation," European Economic Review, Elsevier, vol. 128(C).
    19. Veronica Guerrieri & Robert Shimer, 2018. "Markets with Multidimensional Private Information," American Economic Journal: Microeconomics, American Economic Association, vol. 10(2), pages 250-274, May.
    20. Vladimir Asriyan & William Fuchs & Brett Green, 2019. "Liquidity Sentiments," American Economic Review, American Economic Association, vol. 109(11), pages 3813-3848, November.

    More about this item

    Keywords

    Exchange versus over-the-counter (OTC) Market; Adverse selection; Search frictions; Institutional investors; Fragmented financial markets;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General

    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:spr:joecth:v:72:y:2021:i:1:d:10.1007_s00199-020-01280-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.