Price dynamics, informational efficiency and wealth distribution in continuous double auction markets
This paper studies the properties of the continuous double auction trading mechanishm using an artificial market populated by heterogeneous computational agents. In particular, we investigate how changes in the population of traders and in market microstructure characteristics affect price dynamics, information dissemination and distribution of wealth across agents. In our computer simulated market only a small fraction of the population observe the risky asset's fundamental value with noise, while the rest of agents try to forecast the asset's price from past transaction data. In contrast to other artificial markets, we assume that the risky asset pays no dividend, so agents cannot learn from past transaction prices and subsequent dividend payments. We find that private information can effectively disseminate in the market unless market regulation prevents informed investors from short selling or borrowing the asset, and these investors do not constitute a critical mass. In such case, not only are markets less efficient informationally, but may even experience crashes and bubbles. Finally, increased informational efficiency has a negative impact on informed agents' trading profits and a positive impact on artificial intelligent agents' profits.
|Date of creation:||Dec 2005|
|Contact details of provider:|| Web page: http://www.business.uc3m.es/es/index|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Plott, Charles R. & Sunder, Shyam., "undated". "Efficiency of Experimental Security Markets with Insider Information: An Application of Rational Expectations Models," Working Papers 331, California Institute of Technology, Division of the Humanities and Social Sciences.
- LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June.
- Lettau, Martin, 1997. "Explaining the facts with adaptive agents: The case of mutual fund flows," Journal of Economic Dynamics and Control, Elsevier, vol. 21(7), pages 1117-1147, June.
- Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
- Sanford J Grossman & Joseph E Stiglitz, 1997. "On the Impossibility of Informationally Efficient Markets," Levine's Working Paper Archive 1908, David K. Levine.
- Domowitz, Ian & Glen, Jack & Madhavan, Ananth, 2001. "Liquidity, Volatility and Equity Trading Costs across Countries and over Time," International Finance, Wiley Blackwell, vol. 4(2), pages 221-255, Summer.
- Ian Domowitz & Jack Glen & Ananth Madhavan, 2000. "Liquidity, Volatility, and Equity Trading Costs Across Countries and Over Time," William Davidson Institute Working Papers Series 322, William Davidson Institute at the University of Michigan.
- 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.
- Carl Chiarella & Giulia Iori, 2002. "A simulation analysis of the microstructure of double auction markets," Quantitative Finance, Taylor & Francis Journals, vol. 2(5), pages 346-353.
- Ahn, Hee-Joon & Cao, Charles Q. & Choe, Hyuk, 1998. "Decimalization and competition among stock markets: Evidence from the Toronto Stock Exchange cross-listed securities," Journal of Financial Markets, Elsevier, vol. 1(1), pages 51-87, April.
- Keim, Donald B. & Madhavan, Ananth, 1997. "Transactions costs and investment style: an inter-exchange analysis of institutional equity trades," Journal of Financial Economics, Elsevier, vol. 46(3), pages 265-292, December.
- Bourghelle, David & Declerck, Fany, 2004. "Why markets should not necessarily reduce the tick size," Journal of Banking & Finance, Elsevier, vol. 28(2), pages 373-398, February.
- Harris, Lawrence E, 1994. "Minimum Price Variations, Discrete Bid-Ask Spreads, and Quotation Sizes," Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 149-178.
- LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999. "Time series properties of an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1487-1516, September.
- Arthur, W.B. & LeBaron, B. & Palmer, R., 1997. "Time Series Properties of an Artificial Stock Market," Working papers 9725, Wisconsin Madison - Social Systems.
- Lesmond, David A & Ogden, Joseph P & Trzcinka, Charles A, 1999. "A New Estimate of Transaction Costs," Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1113-1141.
- David Bourghelle & F. Declerck, 2004. "Why Markets Should not Necessarily Reduce the Tick Size," Post-Print hal-00677711, HAL.
- Bessembinder, Hendrik, 2000. "Tick Size, Spreads, and Liquidity: An Analysis of Nasdaq Securities Trading near Ten Dollars," Journal of Financial Intermediation, Elsevier, vol. 9(3), pages 213-239, July.
- Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
- Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
- Forsythe, Robert & Palfrey, Thomas R & Plott, Charles R, 1982. "Asset Valuation in an Experimental Market," Econometrica, Econometric Society, vol. 50(3), pages 537-567, May.
- Forsythe, Robert & Palfrey, Thomas R. & Plott, Charles R., "undated". "Asset Valuation in an Experimental Market," Working Papers 299, California Institute of Technology, Division of the Humanities and Social Sciences.
- 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, 02.
- B. LeBaron, 2001. "A builder's guide to agent-based financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 254-261.
- Lux, Thomas, 1995. "Herd Behaviour, Bubbles and Crashes," Economic Journal, Royal Economic Society, vol. 105(431), pages 881-896, July.
- Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June.
- Lau, Sie Ting & McInish, Thomas H., 1995. "Reducing tick size on the Stock Exchange of Singapore," Pacific-Basin Finance Journal, Elsevier, vol. 3(4), pages 485-496, December.
- Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. " Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
- Brock, W. & Lakonishok, J. & Lebaron, B., 1991. "Simple Technical Trading Rules And The Stochastic Properties Of Stock Returns," Working papers 90-22, Wisconsin Madison - Social Systems.
- Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July. Full references (including those not matched with items on IDEAS)