Theoretical framework for analyzing the dynamics of the stock market and market capitalization of corporate agricultural enterprises

Author:

SUSLIKOV Andrii1ORCID

Affiliation:

1. NSC “Institute of Agrarian Economics”

Abstract

Analyzing and forecasting financial and stock markets is a strategic goal for investors, analysts, traders, underwriters, top managers of agricultural companies, and other stakeholders to manage the efficiency of both corporate and individual activities. At the same time, methods of modeling market capitalization dynamics differ depending on which institutional group of investors use them, which often leads to contradictory results. In this context, the problem arises of systematizing and improving the theoretical framework for analyzing corporate agricultural enterprises' market capitalization dynamics. The study aims to generalize and systematize the theoretical framework for analyzing the dynamics of the stock market and market capitalization of corporate agricultural enterprises. The study used the following methods: systematization, generalization, monographic analysis, and synthesis. The content of the theories of random expectations, efficient stock market, reflexivity in the stock market, chaos and fractal geometry of price movements, psychological moods of investors, and catastrophes have been summarized. It has been argued and proved that all theories and methodological approaches to analyzing stock market dynamics and market capitalization of corporate agricultural enterprises are dialectically related, are in constant development, and are ultimately aimed at identifying and explaining the patterns of the phenomena and processes under study. It has been shown that quantitative analysis is a methodological superstructure to qualitative analysis aimed at substantiating the identified laws and regularities in the dynamics of price quotations, stock market development, the behavior of investors and stock traders, and market capitalization of corporate issuers. These patterns subsequently become the basis for refining the theoretical and methodological foundations for analyzing the dynamics of the stock market and market capitalization of enterprises, as well as for launching adaptive training and retraining algorithms for neural networks and artificial intelligence systems. Keywords: stock market, market capitalization, equity, behavioural finance, finance theory, corporate agricultural enterprise.

Publisher

Drukarnia Madryd

Subject

General Medicine

Reference18 articles.

1. Bachelier, L. (1900). «Théorie de la speculation». Annales scientifiques de l'É.N.S. Vol. 17. рp. 21-86. DOI: https://doi.org/10.24033/asens.476.

2. Fama, E.F. (1965). «The Behavior of Stock-Market Prices». The Journal of Business. 1965. Vol. 38. No. 1. рp. 34-105.

3. Samuelson, P.A. (1965). «Proof That Properly Anticipated Prices Fluctuate Randomly». Industrial Management Review. Vol. 6. No. 2. рp. 41-49.

4. Lo, A.W. (2019). Adaptive Markets: Financial Evolution at the Speed of Thought. [Adaptive Markets: Financial Evolution at the Speed of Thought]. Princeton University Press. Princeton. USA.

5. Grossman, S.J., Stiglitz, J.E. (1980). «On the Impossibility of Informationally Efficient Markets». The American Economic Review. Vol. 70. No. 3. рp. 393-408.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MANAGING THE CAPITALISATION OF AGRO-INDUSTRIAL ENTERPRISES;Збірник наукових праць Державного податкового університету;2024-05-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3