Zhou, J., Gu, G.F., Jiang, Z.Q., Xiong, X., Zhang, W. and Zhou, W.X. (2016) Computational Experiments Successfully Predict the Emergence of Auto-Correlations in Ultra-High-Frequency Stock Returns. Computational Economics. (In Press)

has been cited by the following article:

• TITLE: Toward a Unifying Perspective on Economic Complexity: The Contribution of Chinese Econophysics Community

  AUTHORS: Christophe Schinckus

  KEYWORDS: Econophysics, Statistical Physics, Economics, Modelling of Complexity

  JOURNAL NAME: Theoretical Economics Letters, Vol.8 No.3, February 26, 2018

  ABSTRACT: Recent years have witnessed a series of economic problems and financial crises, the recent subprime debacle being one of the worst. All these events called traditional economics into question and new perspectives have been developed to take into account the complexity of economic systems. This essay aims at contributing to a better understanding of a new trend labeled econophysics through two points: 1) a discussion on the conceptual links between statistical econophysics and agent-based econophysics; and 2) an overview of works dealing with these links that interestingly, emphasize the importance of econophysics in China.