IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-00601494.html
   My bibliography  Save this paper

Market Making with Costly Monitoring: An Analysis of the SOES Controversy

Author

Listed:
  • Thierry Foucault

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

  • Ailsa Röell

    (Department of economics - Princeton University)

  • Patrik Sandas

Abstract

We develop a model of price formation in a dealership market where monitoring of the information flow requires costly effort. The result is imperfect monitoring, which creates profit opportunities for speculators who pick off "stale quotes". Externalities associated with monitoring give rise to multiple equilibria in which dealers earn strictly positive expected profits. We obtain various policy implications. A switch to automatic execution can improve or worsen spreads and price discovery depending on the specific equilibrium. A reduction in the minimum quoted depth tightens the spread but it reduces price efficiency. Our analysis is relevant for the SOES controversy given that speculators in our model behave as the real world SOES "bandits". Our model predicts that SOES bandits should trade in stocks with small spreads and that SOES bandit activity should widen the spread. We provide empirical evidence consistent with these predictions.

Suggested Citation

  • Thierry Foucault & Ailsa Röell & Patrik Sandas, 2000. "Market Making with Costly Monitoring: An Analysis of the SOES Controversy," Working Papers hal-00601494, HAL.
  • Handle: RePEc:hal:wpaper:hal-00601494
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Grossman, Sanford J & Miller, Merton H & Cone, Kenneth R & Fischel, Daniel R & Ross, David J, 1997. "Clustering and Competition in Asset Markets," Journal of Law and Economics, University of Chicago Press, vol. 40(1), pages 23-60, April.
    2. Harris, Jeffrey H. & Schultz, Paul H., 1998. "The trading profits of SOES bandits," Journal of Financial Economics, Elsevier, vol. 50(1), pages 39-62, October.
    3. Copeland, Thomas E & Galai, Dan, 1983. "Information Effects on the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 38(5), pages 1457-1469, December.
    4. Kandel, Eugene & Marx, Leslie M., 1997. "Nasdaq market structure and spread patterns," Journal of Financial Economics, Elsevier, vol. 45(1), pages 61-89, July.
    5. Harris, Lawrence E, 1994. "Minimum Price Variations, Discrete Bid-Ask Spreads, and Quotation Sizes," The Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 149-178.
    6. Drew Fudenberg & Jean Tirole, 1991. "Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061414, April.
    7. Jürgen Dennert, 1993. "Price Competition between Market Makers," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 735-751.
    8. Kandel, Eugene & M. Marx, Leslie, 1999. "Odd-eighth avoidance as a defense against SOES bandits," Journal of Financial Economics, Elsevier, vol. 51(1), pages 85-102, January.
    9. Michael J. Barclay & William G. Christie & Jeffrey H. Harris & Eugene Kandel & Paul H. Schultz, 1999. "Effects of Market Reform on the Trading Costs and Depths of Nasdaq Stocks," Journal of Finance, American Finance Association, vol. 54(1), pages 1-34, February.
    10. Battalio, Robert H. & Hatch, Brian & Jennings, Robert, 1997. "SOES Trading and Market Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(2), pages 225-238, 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. Thierry Foucalt & Ailsa Roell & Patrik Sandas, "undated". "Imperfect Market Monitoring and SOES Trading," Rodney L. White Center for Financial Research Working Papers 15-99, Wharton School Rodney L. White Center for Financial Research.
    2. Boulatov, Alex & Hatch, Brian C. & Johnson, Shane A. & Lei, Adam Y.C., 2009. "Dealer attention, the speed of quote adjustment to information, and net dealer revenue," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1531-1542, August.
    3. Bacidore, Jeffrey M., 2001. "Decimalization, adverse selection, and market maker rents," Journal of Banking & Finance, Elsevier, vol. 25(5), pages 829-855, May.
    4. John Board & Charles Sutcliffe & Stephen Wells, 2002. "Transparency and Fragmentation," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-4039-0707-3, March.
    5. Kandel, Eugene & M. Marx, Leslie, 1999. "Odd-eighth avoidance as a defense against SOES bandits," Journal of Financial Economics, Elsevier, vol. 51(1), pages 85-102, January.
    6. Salomonsson, Marcus, 2009. "Introducing a spread into the Kyle model," SSE/EFI Working Paper Series in Economics and Finance 713, Stockholm School of Economics.
    7. Rösch, Christoph G. & Kaserer, Christoph, 2013. "Market liquidity in the financial crisis: The role of liquidity commonality and flight-to-quality," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2284-2302.
    8. Roger D. Huang, 2002. "The Quality of ECN and Nasdaq Market Maker Quotes," Journal of Finance, American Finance Association, vol. 57(3), pages 1285-1319, June.
    9. Garvey, Ryan & Murphy, Anthony, 2005. "Entry, exit and trading profits: A look at the trading strategies of a proprietary trading team," Journal of Empirical Finance, Elsevier, vol. 12(5), pages 629-649, December.
    10. Rösch, Christoph G. & Kaserer, Christoph, 2014. "Reprint of: Market liquidity in the financial crisis: The role of liquidity commonality and flight-to-quality," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 152-170.
    11. Benston, George J. & Wood, Robert A., 2008. "Why effective spreads on NASDAQ were higher than on the New York stock exchange in the 1990s," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 17-40, January.
    12. Biais, Bruno & Glosten, Larry & Spatt, Chester, 2005. "Market microstructure: A survey of microfoundations, empirical results, and policy implications," Journal of Financial Markets, Elsevier, vol. 8(2), pages 217-264, May.
    13. Christie, William G. & Schultz, Paul H., 1999. "The initiation and withdrawal of odd-eighth quotes among Nasdaq stocks: an empirical analysis," Journal of Financial Economics, Elsevier, vol. 52(3), pages 409-442, June.
    14. Paresh Kumar Narayan & Sagarika Mishra & Seema Narayan, 2015. "New empirical evidence on the bid-ask spread," Applied Economics, Taylor & Francis Journals, vol. 47(42), pages 4484-4500, September.
    15. Pascual, Roberto, 1999. "How does liquidity behave? A multidimensional analysis of NYSE stocks," DEE - Working Papers. Business Economics. WB 6433, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    16. Gerke, Wolfgang & Bosch, Robert, 1999. "Die Betreuer am Neuen Markt: eine empirische Analyse," CFS Working Paper Series 1999/12, Center for Financial Studies (CFS).
    17. John Board & Charles Sutcliffe & Anne Vila, 2000. "Market Maker Performance: The Search for Fair Weather Market Makers," Journal of Financial Services Research, Springer;Western Finance Association, vol. 17(3), pages 259-276, September.
    18. Chung, Kee H. & Van Ness, Robert A., 2001. "Order handling rules, tick size, and the intraday pattern of bid-ask spreads for Nasdaq stocks," Journal of Financial Markets, Elsevier, vol. 4(2), pages 143-161, April.
    19. Bruce Mizrach & Yijie Zhang, 2000. "Should ECNs be SOES-able?," Departmental Working Papers 200010, Rutgers University, Department of Economics.
    20. Jasiniak Magdalena, 2018. "Determinants of Investment Decisions on the Capital Market," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 14(2), pages 1-8, June.

    More about this item

    Keywords

    Monitoring; bid-ask spread; automatic execution; SOES trading;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

    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:wpaper:hal-00601494. 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.