| Literature DB >> 34356434 |
Zhiting Wang1, Guiyuan Shi2, Mingsheng Shang3, Yuxia Zhang1.
Abstract
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.Entities:
Keywords: collective intelligence; detrended cross-correlation analysis; econophysics; emergent property; financial complexity; stock correlation
Year: 2021 PMID: 34356434 DOI: 10.3390/e23070893
Source DB: PubMed Journal: Entropy (Basel) ISSN: 1099-4300 Impact factor: 2.524