Who wins? Study of long-run trader survival in an artificial stock market
We introduce a multi-asset artificial financial market with finite amount of cash and number of stocks. The background trading is characterized by a random trading strategy constrained by the finiteness of resources and by market volatility. Stock price processes exhibit volatility clustering, fat-tailed distribution of returns and reversion to the mean. Three active trading strategies have been introduced and studied in two different market conditions: steady market and growing market with asset inflation. We show that the profitability of each strategy depends both on the periodicity of portfolio reallocation and on the market condition. The best performing strategy is the one that exploits the mean reversion characteristic of asset price processes.
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Volume (Year): 324 (2003)
Issue (Month): 1 ()
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- Parkes, David C. & Huberman, Bernardo A., 2001. "Multiagent Cooperative Search for Portfolio Selection," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 124-165, April.
- J. Bradford De Long & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann,, "undated".
"The Survival of Noise Traders in Financial Markets,"
J. Bradford De Long's Working Papers
_123, University of California at Berkeley, Economics Department.
- De Long, J Bradford, et al, 1991. "The Survival of Noise Traders in Financial Markets," The Journal of Business, University of Chicago Press, vol. 64(1), pages 1-19, January.
- J. Bradford De Long & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1988. "The Survival of Noise Traders in Financial Markets," NBER Working Papers 2715, National Bureau of Economic Research, Inc.
- De Long, J. Bradford & Shleifer, Andrei & Summers, Lawrence H. & Waldmann, Robert J., 1991. "The Survival of Noise Traders in Financial Markets," Scholarly Articles 3725470, Harvard University Department of Economics.
- Marco Raberto & Silvano Cincotti & Sergio Focardi & Michele Marchesi, 2003.
"Traders' Long-Run Wealth in an Artificial Financial Market,"
Springer;Society for Computational Economics, vol. 22(2), pages 255-272, October.
- Marco Raberto & Silvano Cincott & Sergio M. Focardi & Michele Marchesi, 2002. "Traders’ long-run wealth in an artificial financial market," Computing in Economics and Finance 2002 301, Society for Computational Economics.
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
- Marco Raberto & Enrico Scalas & Gianaurelio Cuniberti & Massimo Riani, 2004.
"Volatility in the Italian Stock Market: An Empirical Study,"
- Raberto, Marco & Scalas, Enrico & Cuniberti, Gianaurelio & Riani, Massimo, 1999. "Volatility in the Italian stock market: an empirical study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 269(1), pages 148-155.
- Marco Raberto & Enrico Scalas & Gianaurelio Cuniberti & Massimo Riani, 1999. "Volatility in the Italian Stock Market: an Empirical Study," Papers cond-mat/9903221, arXiv.org.
- Tesfatsion, Leigh S., 2002. "Economic Agents and Markets As Emergent Phenomena," Staff General Research Papers Archive 10033, Iowa State University, Department of Economics.
- Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, 03.
- Raberto, Marco & Cincotti, Silvano & Focardi, Sergio M. & Marchesi, Michele, 2001.
"Agent-based simulation of a financial market,"
Physica A: Statistical Mechanics and its Applications,
Elsevier, vol. 299(1), pages 319-327.
- Blume, Lawrence & Easley, David, 1992. "Evolution and market behavior," Journal of Economic Theory, Elsevier, vol. 58(1), pages 9-40, October.
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