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Marketmaking in the Laboratory: Does Competition Matter?

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  • Jan Pieter Krahnen

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  • Martin Weber

Abstract

This paper is the first experimental study of the effects of competition and adverse selection on the performance of market maker (MM-) markets. Information distribution may is either symmetric or heterogeneous. MM-markets are either monopolistic (the specialist markets), or competitive (the multi MM-market). Welfare comparisons are with respect to a continuous double auction (DA-) market. Informed subjects receive an imperfect signal of the true state of the world. We find three main results. First, competition among market makers significantly reduces the bid-ask spread, and increases transaction volume. Second, competition among market makers induces competitive undercutting, yielding net trading losses for market makers as a group in most periods. Third, from the perspective of uninformed traders, a competing MM-regime is optimal, since it minimizes their expected trading losses.

Suggested Citation

  • Jan Pieter Krahnen & Martin Weber, 2001. "Marketmaking in the Laboratory: Does Competition Matter?," Working Paper Series: Finance and Accounting 4, Department of Finance, Goethe University Frankfurt am Main.
  • Handle: RePEc:fra:franaf:4
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    File URL: http://www.finance.uni-frankfurt.de/wp/1172.pdf
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    References listed on IDEAS

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    1. Christie, William G & Harris, Jeffrey H & Schultz, Paul H, 1994. " Why Did NASDAQ Market Makers Stop Avoiding Odd-Eighth Quotes?," Journal of Finance, American Finance Association, vol. 49(5), pages 1841-1860, December.
    2. 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.
    3. 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.
    4. Christie, William G & Schultz, Paul H, 1994. " Why Do NASDAQ Market Makers Avoid Odd-Eighth Quotes?," Journal of Finance, American Finance Association, vol. 49(5), pages 1813-1840, December.
    5. Daniel F. Spulber, 1996. "Market Microstructure and Intermediation," Journal of Economic Perspectives, American Economic Association, vol. 10(3), pages 135-152, Summer.
    6. Glosten, Lawrence R. & Harris, Lawrence E., 1988. "Estimating the components of the bid/ask spread," Journal of Financial Economics, Elsevier, vol. 21(1), pages 123-142, May.
    7. repec:cdl:ucsbec:13-89 is not listed on IDEAS
    8. Plott, Charles R. & Gray, Peter, 1990. "The multiple unit double auction," Journal of Economic Behavior & Organization, Elsevier, vol. 13(2), pages 245-258, March.
    9. Seppi, Duane J, 1997. "Liquidity Provision with Limit Orders and a Strategic Specialist," Review of Financial Studies, Society for Financial Studies, vol. 10(1), pages 103-150.
    10. Leach, J Chris & Madhavan, Ananth N, 1993. "Price Experimentation and Security Market Structure," Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 375-404.
    11. Huang, Roger D. & Stoll, Hans R., 1996. "Dealer versus auction markets: A paired comparison of execution costs on NASDAQ and the NYSE," Journal of Financial Economics, Elsevier, vol. 41(3), pages 313-357, July.
    12. Bloomfield, Robert & O'Hara, Maureen, 1999. "Market Transparency: Who Wins and Who Loses?," Review of Financial Studies, Society for Financial Studies, vol. 12(1), pages 5-35.
    13. Ho, Thomas & Stoll, Hans R., 1981. "Optimal dealer pricing under transactions and return uncertainty," Journal of Financial Economics, Elsevier, vol. 9(1), pages 47-73, March.
    14. Pagano, Marco & Roell, Ailsa, 1996. " Transparency and Liquidity: A Comparison of Auction and Dealer Markets with Informed Trading," Journal of Finance, American Finance Association, vol. 51(2), pages 579-611, June.
    15. Friedman, Daniel, 1991. "A simple testable model of double auction markets," Journal of Economic Behavior & Organization, Elsevier, vol. 15(1), pages 47-70, January.
    16. LeRoy, Stephen F, 1989. "Efficient Capital Markets and Martingales," Journal of Economic Literature, American Economic Association, vol. 27(4), pages 1583-1621, December.
    17. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    18. Friedman, Daniel, 1984. "On the Efficiency of Experimental Double Auction Markets," American Economic Review, American Economic Association, vol. 74(1), pages 60-72, March.
    19. Madhavan, Ananth, 1992. " Trading Mechanisms in Securities Markets," Journal of Finance, American Finance Association, vol. 47(2), pages 607-641, June.
    20. Admati, Anat R & Pfleiderer, Paul, 1989. "Divide and Conquer: A Theory of Intraday and Day-of-the-Week Mean Effects," Review of Financial Studies, Society for Financial Studies, vol. 2(2), pages 189-223.
    21. Madhavan, Ananth & Sofianos, George, 1998. "An empirical analysis of NYSE specialist trading," Journal of Financial Economics, Elsevier, vol. 48(2), pages 189-210, May.
    22. Bloomfield, Robert & O'Hara, Maureen, 2000. "Can transparent markets survive?," Journal of Financial Economics, Elsevier, vol. 55(3), pages 425-459, March.
    23. Friedman, Daniel, 1993. "Privileged Traders and Asset Market Efficiency: A Laboratory Study," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(04), pages 515-534, December.
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    Citations

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    Cited by:

    1. Mirowski, Philip, 2007. "Markets come to bits: Evolution, computation and markomata in economic science," Journal of Economic Behavior & Organization, Elsevier, vol. 63(2), pages 209-242, June.
    2. Lamoureux, Christopher G. & Schnitzlein, Charles R., 2004. "Microstructure with multiple assets: an experimental investigation into direct and indirect dealer competition," Journal of Financial Markets, Elsevier, vol. 7(2), pages 117-143, February.
    3. J. P. Krahnen & C. Rieck & E. Theissen, 1999. "Insider trading and portfolio structure in experimental asset markets with a long-lived asset," The European Journal of Finance, Taylor & Francis Journals, vol. 5(1), pages 29-50.
    4. 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.
    5. 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.
    6. Charles N. Noussair & Steven Tucker, 2013. "Experimental Research On Asset Pricing," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 554-569, July.
    7. Steven Kachelmeier & Kristy Towry, 2005. "The Limitations of Experimental Design: A Case Study Involving Monetary Incentive Effects in Laboratory Markets," Experimental Economics, Springer;Economic Science Association, vol. 8(1), pages 21-33, April.
    8. repec:eee:ecmode:v:66:y:2017:i:c:p:121-131 is not listed on IDEAS

    More about this item

    Keywords

    market microstructure; dealer market; bid-ask spread; competition;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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