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How do skilled traders change the structure of the market

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  • Vacha, Lukas
  • Barunik, Jozef
  • Vosvrda, Miloslav

Abstract

We extend the original heterogeneous agent model of Brock and Hommes (1998) by introducing the concept of skilled traders. The idea of skilled traders is based on the endeavor of market agents to estimate future price movements. We distinguish between the three groups of skilled traders according to their trading strategies. The first group consists of skilled traders who estimate the trend parameter and have randomly generated bias. The second group has fixed bias to zero, and the third group, most advanced one, is able to estimate the bias parameter. The most interesting result from simulations is that for all model settings the stock market changes its structure at some point with growing number of skilled traders.

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Bibliographic Info

Article provided by Elsevier in its journal International Review of Financial Analysis.

Volume (Year): 23 (2012)
Issue (Month): C ()
Pages: 66-71

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Handle: RePEc:eee:finana:v:23:y:2012:i:c:p:66-71

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Web page: http://www.elsevier.com/locate/inca/620166

Related research

Keywords: Heterogeneous agent model; Market structure; Skilled traders; Hurst exponent;

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References

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  1. Jozef Barunik & Lukas Vacha & Miloslav Vosvrda, 2009. "Smart predictors in the heterogeneous agent model," Journal of Economic Interaction and Coordination, Springer, vol. 4(2), pages 163-172, November.
  2. Brock, W.A. & Hommes, C.H., 1996. "A Rational Route to Randomness," Working papers 9530r, Wisconsin Madison - Social Systems.
  3. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
  4. J. Doyne Farmer & Shareen Joshi, 2000. "The price dynamics of common trading strategies," Papers cond-mat/0012419, arXiv.org.
  5. Gaunersdorfer, A. & Hommes, C.H. & Wagener, F.O.O., 2003. "Bifurcation Routes to Volatility Clustering under Evolutionary Learning," CeNDEF Working Papers 03-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  6. Carl Chiarella & Xue-Zhong He, 2000. "Heterogeneous Beliefs, Risk and Learning in a Simple Asset Pricing Model with a Market Maker," Research Paper Series 35, Quantitative Finance Research Centre, University of Technology, Sydney.
  7. Barunik, Jozef & Kristoufek, Ladislav, 2010. "On Hurst exponent estimation under heavy-tailed distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(18), pages 3844-3855.
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Cited by:
  1. Kukacka, Jiri & Barunik, Jozef, 2013. "Behavioural breaks in the heterogeneous agent model: The impact of herding, overconfidence, and market sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5920-5938.

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