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The Stock Market Model with Delayed Information Impact from a Socioeconomic View
Wang, Zhiting1; Shi, Guiyuan2; Shang, Mingsheng3; Zhang, Yuxia1
2021-07-01
摘要Finding the critical factor and possible "Newton's laws" in financial markets has been an important issue. However, with the development of information and communication technologies, financial models are becoming more realistic but complex, contradicting the objective law "Greatest truths are the simplest." Therefore, this paper presents an evolutionary model independent of micro features and attempts to discover the most critical factor. In the model, information is the only critical factor, and stock price is the emergence of collective behavior. The statistical properties of the model are significantly similar to the real market. It also explains the correlations of stocks within an industry, which provides a new idea for studying critical factors and core structures in the financial markets.
关键词econophysics financial complexity collective intelligence emergent property stock correlation detrended cross-correlation analysis
DOI10.3390/e23070893
发表期刊ENTROPY
卷号23期号:7页码:11
通讯作者Zhang, Yuxia(zhangyux@scut.edu.cn)
收录类别SCI
WOS记录号WOS:000676687500001
语种英语