Literature DB >> 34356434

The Stock Market Model with Delayed Information Impact from a Socioeconomic View.

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


  1 in total

1.  The Linear Relationship Model with LASSO for Studying Stock Networks.

Authors:  Muzi Chen; Hongjiong Tian; Boyao Wu; Tianhai Tian
Journal:  Entropy (Basel)       Date:  2022-06-09       Impact factor: 2.738

  1 in total

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