Fundamentalists Clashing over the Book: A Study of Order-Driven Stock Markets
Agent-based models of market dynamics must strike a compromise between the structural assumptions that represent the trading mechanism and the behavioral assumptions that describe the rules by which traders take their decisions. We present a structurally detailed model of an order- driven stock market and show that a minimal set of behavioral assumptions suffices to generate a leptokurtic distribution of short- term log-returns. This result backs up the conjecture that the emergence of some statistical properties of financial time series is due to the microstructure of stock markets.
|Date of creation:||12 Jul 2002|
|Date of revision:||04 Mar 2003|
|Note:||Type of Document - pdf; prepared on Macintosh; to print on Postcript; pages: 19; figures: included|
|Contact details of provider:|| Web page: http://econwpa.repec.org|
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.:
- Maslov, Sergei, 2000. "Simple model of a limit order-driven market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 278(3), pages 571-578.
- Paul Milgrom & Nancy L.Stokey, 1979.
"Information, Trade, and Common Knowledge,"
377R, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Steiglitz, Ken & Shapiro, Daniel, 1998. "Simulating the Madness of Crowds: Price Bubbles in an Auction-Mediated Robot Market," Computational Economics, Springer;Society for Computational Economics, vol. 12(1), pages 35-59, August.
- Lux, T. & M. Marchesi, "undated". "Volatility Clustering in Financial Markets: A Micro-Simulation of Interacting Agents," Discussion Paper Serie B 437, University of Bonn, Germany, revised Jul 1998.
- Bak, P. & Paczuski, M. & Shubik, M., 1997.
"Price variations in a stock market with many agents,"
Physica A: Statistical Mechanics and its Applications,
Elsevier, vol. 246(3), pages 430-453.
- P. Bak & M. Paczuski & M. Shubik, 1996. "Price Variations in a Stock Market with Many Agents," Working Papers 96-09-075, Santa Fe Institute.
- P. Bak & M. Paczuski & Martin Shubik, 1996. "Price Variations in a Stock Market with Many Agents," Cowles Foundation Discussion Papers 1132, Cowles Foundation for Research in Economics, Yale University.
- J. Doyne Farmer & Shareen Joshi, 2000.
"The price dynamics of common trading strategies,"
- Day, R. & Huang, W., 1988.
"Bulls, Bears And Market Sheep,"
m8822, Southern California - Department of Economics.
- 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.
- Arthur, W.B. & Holland, J.H. & LeBaron, B. & Palmer, R. & Tayler, P., 1996.
"Asset Pricing Under Endogenous Expectations in an Artificial Stock Market,"
9625, Wisconsin Madison - Social Systems.
- W. Brian Arthur & John H. Holland & Blake LeBaron & Richard Palmer & Paul Taylor, 1996. "Asset Pricing Under Endogenous Expectation in an Artificial Stock Market," Working Papers 96-12-093, Santa Fe Institute.
- Matassini, Lorenzo & Franci, Fabio, 2001. "On financial markets trading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 289(3), pages 526-542.
- Welch, Ivo, 2000. "Herding among security analysts," Journal of Financial Economics, Elsevier, vol. 58(3), pages 369-396, December.
- Cohen, Kalman J, et al, 1978. "Limit Orders, Market Structure, and the Returns Generation Process," Journal of Finance, American Finance Association, vol. 33(3), pages 723-736, June.
When requesting a correction, please mention this item's handle: RePEc:wpa:wuwpco:0207001. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA)
If references are entirely missing, you can add them using this form.