IDEAS home Printed from https://ideas.repec.org/a/eee/empfin/v15y2008i3p533-548.html
   My bibliography  Save this article

Excess demand and price formation during a Walrasian auction

Author

Listed:
  • Eaves, James
  • Melvin, Michael
  • Mohapatra, Sandeep

Abstract

We conduct a detailed analysis of the relationship between excess demand and the convergence of price to equilibrium during a real-world Walrasian auction, paying special attention to the size and speed of the price adjustment. Using data from the Tokyo Grain Exchange (TGE), we first show that because auctions for the various futures contracts occur sequentially, information becomes more evenly dispersed across traders as an auction sequence progresses. Then we show that excess demand is positively correlated with both the eventual price change and the speed with which price adjusts. As information becomes more evenly dispersed, the strength of these relationships weakens. Finally, though excess demand explains a large proportion of the variability of the change in price, it explains only a small proportion of the variability of the speed of adjustment.

Suggested Citation

  • Eaves, James & Melvin, Michael & Mohapatra, Sandeep, 2008. "Excess demand and price formation during a Walrasian auction," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 533-548, June.
  • Handle: RePEc:eee:empfin:v:15:y:2008:i:3:p:533-548
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927-5398(07)00086-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Hasbrouck, Joel, 1991. "Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
    2. Alfonso Dufour & Robert F. Engle, 2000. "Time and the Price Impact of a Trade," Journal of Finance, American Finance Association, vol. 55(6), pages 2467-2498, December.
    3. Foster, F Douglas & Viswanathan, S, 1993. "Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models," Journal of Finance, American Finance Association, vol. 48(1), pages 187-211, March.
    4. Madhavan, Ananth & Richardson, Matthew & Roomans, Mark, 1997. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 1035-1064.
    5. Kabir, Rezaul & Vermaelen, Theo, 1996. "Insider trading restrictions and the stock market: Evidence from the Amsterdam Stock Exchange," European Economic Review, Elsevier, vol. 40(8), pages 1591-1603, November.
    6. Holden, Craig W & Subrahmanyam, Avanidhar, 1992. "Long-Lived Private Information and Imperfect Competition," Journal of Finance, American Finance Association, vol. 47(1), pages 247-270, March.
    7. James Eaves & Jeffrey Williams, 2007. "Walrasian Tâtonnement Auctions on the Tokyo Grain Exchange," Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1183-1218.
    8. Vives Xavier, 1995. "The Speed of Information Revelation in a Financial Market Mechanism," Journal of Economic Theory, Elsevier, vol. 67(1), pages 178-204, October.
    9. Theobald, Michael & Yallup, Peter, 2004. "Determining security speed of adjustment coefficients," Journal of Financial Markets, Elsevier, vol. 7(1), pages 75-96, January.
    10. Subrahmanyam, Avanidhar, 1991. "Risk Aversion, Market Liquidity, and Price Efficiency," Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 416-441.
    11. Geoffrey Booth, G. & Ciner, Cetin, 1997. "International transmission on information in corn futures markets," Journal of Multinational Financial Management, Elsevier, vol. 7(3), pages 175-187, October.
    12. Lehmann, Bruce N., 2002. "Some desiderata for the measurement of price discovery across markets," Journal of Financial Markets, Elsevier, vol. 5(3), pages 259-276, July.
    13. Ederington, Louis H. & Lee, Jae Ha, 1995. "The Short-Run Dynamics of the Price Adjustment to New Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(1), pages 117-134, March.
    14. Easley, David, et al, 1996. "Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-1436, September.
    15. Dhillon, Upinder S. & Lasser, Dennis J. & Watanabe, Taiji, 1997. "Volatility, information, and double versus walrasian auction pricing in US and Japanese futures markets," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 1045-1061, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sylvain Barde, 2009. "The Google thought experiment: rationality, information and equilibrium in an exchange economy," Sciences Po publications 2009-34, Sciences Po.
    2. repec:spo:wpecon:info:hdl:2441/eu4vqp9ompqllr09hc01g3029 is not listed on IDEAS
    3. repec:hal:wpspec:info:hdl:2441/eu4vqp9ompqllr09hc01g3029 is not listed on IDEAS
    4. repec:hal:spmain:info:hdl:2441/eu4vqp9ompqllr09hc01g3029 is not listed 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. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    2. Wong, Woon K. & Tan, Dijun & Tian, Yixiang, 2009. "Informed trading and liquidity in the Shanghai Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 66-73, March.
    3. Berkman, Henk & Koch, Paul D., 2008. "Noise trading and the price formation process," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 232-250, March.
    4. Sun, Yuxin & Ibikunle, Gbenga, 2017. "Informed trading and the price impact of block trades: A high frequency trading analysis," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 114-129.
    5. Ranaldo, Angelo & Somogyi, Fabricius, 2021. "Asymmetric information risk in FX markets," Journal of Financial Economics, Elsevier, vol. 140(2), pages 391-411.
    6. Wang, Junbo & Wu, Chunchi, 2015. "Liquidity, credit quality, and the relation between volatility and trading activity: Evidence from the corporate bond market," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 183-203.
    7. Wu, Chunchi & Xu, Xiaoqing Eleanor, 2000. "Return Volatility, Trading Imbalance and the Information Content of Volume," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 131-153, March.
    8. Dridi, Ramdan & Germain, Laurent, 2004. "Bullish/Bearish Strategies of Trading: A Nonlinear Equilibrium," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(4), pages 873-886, December.
    9. Pascual, Roberto & Escribano, Alvaro & Tapia, Mikel, 2004. "Adverse selection costs, trading activity and price discovery in the NYSE: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 28(1), pages 107-128, January.
    10. Chung, Kee H. & Li, Mingsheng & McInish, Thomas H., 2005. "Information-based trading, price impact of trades, and trade autocorrelation," Journal of Banking & Finance, Elsevier, vol. 29(7), pages 1645-1669, July.
    11. Bernhardt, Dan & Hughson, Eric, 2002. "Intraday trade in dealership markets," European Economic Review, Elsevier, vol. 46(9), pages 1697-1732, October.
    12. Christiane Goodfellow & Martin T. Bohl, 2011. "Forestalling Floor Closure: Evidence from a Natural Experiment on the German Stock Market," Post-Print hal-00676103, HAL.
    13. Bondarenko, Oleg, 2001. "Competing market makers, liquidity provision, and bid-ask spreads," Journal of Financial Markets, Elsevier, vol. 4(3), pages 269-308, June.
    14. Pascual, Roberto & Escribano, Álvaro & Tapia, Mikel, 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.
    15. Pascual, Roberto & Pascual-Fuster, Bartolome & Climent, Francisco, 2006. "Cross-listing, price discovery and the informativeness of the trading process," Journal of Financial Markets, Elsevier, vol. 9(2), pages 144-161, May.
    16. Brennan, Michael J. & Subrahmanyam, Avanidhar, 1995. "Investment analysis and price formation in securities markets," Journal of Financial Economics, Elsevier, vol. 38(3), pages 361-381, July.
    17. H. Henry Cao & Martin D. D. Evans & Richard K. Lyons, 2017. "Inventory Information," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 9, pages 363-413, World Scientific Publishing Co. Pte. Ltd..
    18. Manganelli, Simone, 2005. "Duration, volume and volatility impact of trades," Journal of Financial Markets, Elsevier, vol. 8(4), pages 377-399, November.
    19. Jondeau, Eric & Lahaye, Jérôme & Rockinger, Michael, 2015. "Estimating the price impact of trades in a high-frequency microstructure model with jumps," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 205-224.
    20. Pascual, Roberto & Escribano, Álvaro & Tapia, Mikel, 2000. "Adverse selection costs, trading activity and liquidity in the NYSE: an empirical analysis in a dynamic context," UC3M Working papers. Economics 7276, Universidad Carlos III de Madrid. Departamento de Economía.

    More about this item

    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:eee:empfin:v:15:y:2008:i:3:p:533-548. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jempfin .

    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.