Wang, Z.; Shi, G.; Shang, M.; Zhang, Y. The Stock Market Model with Delayed Information Impact from a Socioeconomic View. Entropy2021, 23, 893.
Wang, Z.; Shi, G.; Shang, M.; Zhang, Y. The Stock Market Model with Delayed Information Impact from a Socioeconomic View. Entropy 2021, 23, 893.
Cite as:
Wang, Z.; Shi, G.; Shang, M.; Zhang, Y. The Stock Market Model with Delayed Information Impact from a Socioeconomic View. Entropy2021, 23, 893.
Wang, Z.; Shi, G.; Shang, M.; Zhang, Y. The Stock Market Model with Delayed Information Impact from a Socioeconomic View. Entropy 2021, 23, 893.
Abstract
Finding the key factor and possible "Newton's laws" in financial markets has remained the central issue in this area. However, with the development of information and communication technologies, financial models are becoming more and more realistic but complex which is contradictory to the objective law “Greatest truths are the simplest”. Therefore, this paper attempts to discover the most critical parameter and establishes an evolutionary model which is independent of micro features. In the model, information is the only key factor and stock price is the emergence of the 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 provide a new idea for the study of key factors and core structures in the financial market.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
