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Price, Trade Size, and Information Revelation in Multi-Period Securities Markets

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  • Han N. Ozsoylev
  • Shino Takayama

Abstract

We study price formation in securities markets, using the sequential trade framework of Glosten and Milgrom [7]. This paper makes one basic methodological advance over previous research on sequential securities trading: we allow traders to choose from n trade sizes in a multi-period market, where n can be arbitrarily large. We examine how trade size multiplicity affects the intertemporal dynamics of trading strategies, bid-ask spreads, and information revelation We show that price impact, as a function of trade size, is increasing and exhibits (discrete) concavity.

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Bibliographic Info

Paper provided by University of Oxford, Department of Economics in its series Economics Series Working Papers with number 2005-FE-10.

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Date of creation: 01 Oct 2005
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Handle: RePEc:oxf:wpaper:2005-fe-10

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Keywords: Market microstructure; Gloster-Milgrom; Price formation; Sequential trade; Asymmetric information; Trade size; Bid-ask spreads;

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References

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  1. Glosten, Lawrence R, 1989. "Insider Trading, Liquidity, and the Role of the Monopolist Specialist," The Journal of Business, University of Chicago Press, vol. 62(2), pages 211-35, April.
  2. Hasbrouck, Joel, 1988. "Trades, quotes, inventories, and information," Journal of Financial Economics, Elsevier, vol. 22(2), pages 229-252, December.
  3. Ananth Madhavan & Seymour Smidt, . "A Bayesian Model of Intraday Specialist Pricing," Rodney L. White Center for Financial Research Working Papers 02-91, Wharton School Rodney L. White Center for Financial Research.
  4. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
  5. Archishman Chakraborty & Bilge Yilmaz, . "Informed Manipulation," Rodney L. White Center for Financial Research Working Papers 07-00, Wharton School Rodney L. White Center for Financial Research.
  6. Harris, Lawrence, 1991. "Stock Price Clustering and Discreteness," Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 389-415.
  7. Jerry A. Hausman & Andrew W. Lo & A. Craig MacKinlay, 1991. "An Ordered Probit Analysis of Transaction Stock Prices," NBER Working Papers 3888, National Bureau of Economic Research, Inc.
  8. James Dow, 2004. "Is Liquidity Self-Fulfilling?," The Journal of Business, University of Chicago Press, vol. 77(4), pages 895-908, October.
  9. Hasbrouck, Joel, 1991. " Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
  10. Gur Huberman & Werner Stanzl, 2004. "Price Manipulation and Quasi-Arbitrage," Econometrica, Econometric Society, vol. 72(4), pages 1247-1275, 07.
  11. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November.
  12. Copeland, Thomas E & Galai, Dan, 1983. " Information Effects on the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 38(5), pages 1457-69, December.
  13. Seppi, Duane J, 1990. " Equilibrium Block Trading and Asymmetric Information," Journal of Finance, American Finance Association, vol. 45(1), pages 73-94, March.
  14. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
  15. Kempf, Alexander & Korn, Olaf, 1999. "Market depth and order size1," Journal of Financial Markets, Elsevier, vol. 2(1), pages 29-48, February.
  16. 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.
  17. Kerry Back & Shmuel Baruch, 2004. "Information in Securities Markets: Kyle Meets Glosten and Milgrom," Econometrica, Econometric Society, vol. 72(2), pages 433-465, 03.
  18. Lawrence R. Glosten & Paul R. Milgrom, 1983. "Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders," Discussion Papers 570, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  19. S. Baranzoni & P. Bianchi & L. Lambertini, 2000. "Market Structure," Working Papers 368, Dipartimento Scienze Economiche, Universita' di Bologna.
  20. Dridi, Ramdan & Germain, Laurent, 2004. "Bullish/Bearish Strategies of Trading: A Nonlinear Equilibrium," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(04), pages 873-886, December.
  21. Joel Hasbrouck, 1999. "The Dynamics of Discrete Bid and Ask Quotes," Journal of Finance, American Finance Association, vol. 54(6), pages 2109-2142, December.
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Citations

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Cited by:
  1. Shino Takayama, 2013. "Price Manipulation, Dynamic Informed Trading and Tame Equilibria: Theory and Computation," Discussion Papers Series 492, School of Economics, University of Queensland, Australia.
  2. Louhichi, Waël, 2011. "What drives the volume-volatility relationship on Euronext Paris?," International Review of Financial Analysis, Elsevier, vol. 20(4), pages 200-206, August.
  3. Malinova, Katya & Park, Andreas, 2013. "Liquidity, volume and price efficiency: The impact of order vs. quote driven trading," Journal of Financial Markets, Elsevier, vol. 16(1), pages 104-126.
  4. Katya Malinova & Andreas Park, 2009. "Liquidity, Volume, and Price Behavior: The Impact of Order vs. Quote Based Trading," Working Papers tecipa-358, University of Toronto, Department of Economics.

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