Modeling and analysis of an agent-based model for Chinese stock market

We constructed an agent-based stock market model which concisely describe investorsʼ heterogeneity and adaptability by introducing price sensitivity and feedback time. Under different parameters, the peak and fat-tail property of return distribution is produced and the obtained statistic values coincide with empirical results: the center peak exponents range from −0.787 to −0.661, and the tail exponents range from −4.29 to −2.37. Besides, long-term correlation in volatility is examined by DFA1 method, and the obtained exponent α is 0.803, which also coincides with the exponent of 0.78 found in real market.