Empirical Study on How Ordinary Shareholders Avoid the Operational Risk of Listed Companies through Public Information

In the capital market, individual investors face challenges in identifying and avoiding the operational risks of listed companies. This study focuses on the practical feasibility of risk management using publicly available information, reviewing the types of operational risks and their influencing factors, and analysing the mechanisms and limitations of obtaining public information. This paper constructs an empirical research framework by collecting and preprocessing relevant data to evaluate the specific role of public information in helping investors avoid operational risks in listed companies. The research findings reveal the critical importance of effectively processing and utilising public information, and further validate the practicality of the theoretical results through case analysis.

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Publication Details

Journal
Frontiers in Business Economics and Management
Published
2024-12-24
DOI
https://doi.org/10.54097/80w4s356
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

Empirical Study on How Ordinary Shareholders Avoid the Operational Risk of Listed Companies through Public Information

Shuqing Wang
Frontiers in Business Economics and Management
Impact of AI and Big Data on Business and Society
article

Empirical Study on How Ordinary Shareholders Avoid the Operational Risk of Listed Companies through Public Information

Shuqing Wang
article en

Abstract

In the capital market, individual investors face challenges in identifying and avoiding the operational risks of listed companies. This study focuses on the practical feasibility of risk management using publicly available information, reviewing the types of operational risks and their influencing factors, and analysing the mechanisms and limitations of obtaining public information. This paper constructs an empirical research framework by collecting and preprocessing relevant data to evaluate the specific role of public information in helping investors avoid operational risks in listed companies. The research findings reveal the critical importance of effectively processing and utilising public information, and further validate the practicality of the theoretical results through case analysis.

Frontiers in Business Economics and ManagementVol. 17(3)
University of Jinan (CN), Shandong University of Political Science and Law (CN)
Openalex Percentile: Top 70%
Impact of AI and Big Data on Business and Society
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