Voter interacting systems applied to Chinese stock markets

Tiansong Wang, Jun Wang, Junhuan Zhang () and Wen Fang

Mathematics and Computers in Simulation (MATCOM), 2011, vol. 81, issue 11, 2492-2506

Abstract: Applying the theory of statistical physics systems – the voter model, a random stock price model is modeled and studied in this paper, where the voter model is a continuous time Markov process. In this price model, for the different parameters values of the intensity λ, the lattice dimension d, the initial density θ, and the multivariate set (θ, λ), we discuss and analyze the statistical behaviors of the price model. Moreover, we investigate the power-law distributions, the long-term memory of returns and the volatility clustering phenomena for the Chinese stock indices. The database is from the indices of Shanghai and Shenzhen in the 6-year period from July 2002 to June 2008. Further, the comparisons of the empirical research and the simulation data are given.

Keywords: Stock price model; Voter model; Probability distribution; Return; Computer simulation (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:81:y:2011:i:11:p:2492-2506

DOI: 10.1016/j.matcom.2011.03.013

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