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

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 s...

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Detalles Bibliográficos
Autores principales: Wang, Zhiting, Shi, Guiyuan, Shang, Mingsheng, Zhang, Yuxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304283/
https://www.ncbi.nlm.nih.gov/pubmed/34356434
http://dx.doi.org/10.3390/e23070893
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author Wang, Zhiting
Shi, Guiyuan
Shang, Mingsheng
Zhang, Yuxia
author_facet Wang, Zhiting
Shi, Guiyuan
Shang, Mingsheng
Zhang, Yuxia
author_sort Wang, Zhiting
collection PubMed
description 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.
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spelling pubmed-83042832021-07-25 The Stock Market Model with Delayed Information Impact from a Socioeconomic View Wang, Zhiting Shi, Guiyuan Shang, Mingsheng Zhang, Yuxia Entropy (Basel) Article 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. MDPI 2021-07-14 /pmc/articles/PMC8304283/ /pubmed/34356434 http://dx.doi.org/10.3390/e23070893 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Zhiting
Shi, Guiyuan
Shang, Mingsheng
Zhang, Yuxia
The Stock Market Model with Delayed Information Impact from a Socioeconomic View
title The Stock Market Model with Delayed Information Impact from a Socioeconomic View
title_full The Stock Market Model with Delayed Information Impact from a Socioeconomic View
title_fullStr The Stock Market Model with Delayed Information Impact from a Socioeconomic View
title_full_unstemmed The Stock Market Model with Delayed Information Impact from a Socioeconomic View
title_short The Stock Market Model with Delayed Information Impact from a Socioeconomic View
title_sort stock market model with delayed information impact from a socioeconomic view
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304283/
https://www.ncbi.nlm.nih.gov/pubmed/34356434
http://dx.doi.org/10.3390/e23070893
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