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TRADER SPECIES WITH DIFFERENT DECISION STRATEGIES AND PRICE DYNAMICS IN FINANCIAL MARKETS: AN AGENT-BASED MODELING PERSPECTIVE

WEI ZHANG

School of Management, Tianjin University, Tianjin 300072, China

Tianjin University of Finance, and Economics, Tianjin 300222, China

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GEN LI

School of Management, Tianjin University, Tianjin 300072, China

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XIONG XIONG

School of Management, Tianjin University, Tianjin 300072, China

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, and

YONG JIE ZHANG

School of Management, Tianjin University, Tianjin 300072, China

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https://doi.org/10.1142/S0219622010003841Cited by:11 (Source: Crossref)

Abstract

Investors with different trading strategies can be viewed as different "species" in financial markets. Since the asset price is ultimately determined by the individual trading decisions, the combination and evolution of different trader species in financial market ecology will have great impact to the price dynamics. Considering the limitations and shortcomings of traditional analytical approaches in financial economics in dealing with this issue, an agent-based computational model is introduced in this paper. With the co-existence of 3-type trader species that make different decisions based on their own beliefs and constrains, it is found that although rational speculation destabilizes the price process with the presence of positive feedback strategy, as suggested in the literature, introducing extra noise trading behavior to the market will make the price process back to a more stationary situation, meaning that the market will be healthier if more diversified trader species co-exist in the markets.

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References

W. Zhang, G. Li, X. Xiong, L. J. Wei and X. Y. Wang, A survey on asset price bubbles: From perspectives of behavioral finance and computational experimental method, Working Paper, Tianjin University, China, 2009 . Google Scholar
A. Lo, J. Portfolio Manage. 30, 15 (2004), DOI: 10.3905/jpm.2004.442611. Web of Science, Google Scholar
W. Sharpe, J. Finance 19, 425 (1964), DOI: 10.2307/2977928. Web of Science, Google Scholar
F. Black and M. Scholes, J. Politi. Econ. 81, 637 (1973), DOI: 10.1086/260062. Web of Science, Google Scholar
S. Ross, J. Econ. Theory 13, 341 (1976), DOI: 10.1016/0022-0531(76)90046-6. Web of Science, Google Scholar
E. Fama, J. Finance 25, 383 (1970), DOI: 10.2307/2325486. Web of Science, Google Scholar
R. Shiller, Am. Econ. Rev. 71, 421 (1981). Web of Science, Google Scholar
W. De Bondt and R. Thaler, J. Finance 40, 793 (1985). Web of Science, Google Scholar
R. Shiller, J. Finance 44, 719 (1989), DOI: 10.2307/2328779. Web of Science, Google Scholar
N. Jegadeesh and S. Titman, J. Finance 48, 65 (1993), DOI: 10.2307/2328882. Web of Science, Google Scholar
M. Brunnermeier and S. Nagel, J. Finance 59, 2013 (2004), DOI: 10.1111/j.1540-6261.2004.00690.x. Web of Science, Google Scholar
J. Griffin, J. Harris and S. Topaloglude, Who drove and burst the tech Bubble?, SSRN Working Paper (2005) . Google Scholar
J. De Longet al., J. Political Economy 98, 703 (1990). Web of Science, Google Scholar
J. De Longet al., J. Finance 45, 375 (1990), DOI: 10.2307/2328662. Google Scholar
N. Barberis and R. Thaler , Handbook of the Economics of Finance 1B , eds. G. Constantinides , M. Harris and R. Stulz ( Elsevier B. V. , Amsterdam , 2005 ) . Google Scholar
B. LeBaron , Handbook of Computational Economics 2 , eds. L. Tesfatsion et al. ( North-Holland , Amsterdam , 2006 ) . Google Scholar
J. L. Koning, Int. J. Inf. Technol. Decis. Mak. 457 (2002), DOI: 10.1142/S0219622002000294. Web of Science, Google Scholar
W. Zhanget al., Int. J. Inf. Technol. Decis. Mak. 455 (2006), DOI: 10.1142/S0219622006002052. Google Scholar
W. Kim, Int. J. Inf. Technol. Decis. Mak. 61 (2007), DOI: 10.1142/S0219622007002344. Google Scholar
J. Lee, Int. J. Inf. Technol. Decis. Mak. 309 (2008), DOI: 10.1142/S0219622008002983. Google Scholar
A. P. Tchangani, Int. J. Inf. Technol. Decis. Mak. 73 (2009), DOI: 10.1142/S0219622009003272. Web of Science, Google Scholar
A. Lo, J. Invest. Consult. 7, 21 (2005). Web of Science, Google Scholar
B. LeBaron, W. Arthur and R. Palmer, J. Econ. Dynamics Control 23, 1487 (1999), DOI: 10.1016/S0165-1889(98)00081-5. Web of Science, Google Scholar
W. Arthur et al. , The Economy as an Evolving Complex System II , eds. W. Arthur , S. Durlauf and D. Lane ( Addison-Wesley , Reading , 1997 ) . Google Scholar
H. Hong and J. Stein, Rev. Finan. Studies 16, 487 (2003), DOI: 10.1093/rfs/hhg006. Web of Science, Google Scholar
A. Shleifer and R. Vishny, J. Finan. 52, 35 (1997), DOI: 10.2307/2329555. Web of Science, Google Scholar
C. Hommes , Handbook of Computational Economics 2 , eds. L. Tesfatsion et al. ( North-Holland , Amsterdam , 2006 ) . Google Scholar