行为偏差对投资决策的影响:基于网络聚类的概念分析

Anshita Bihari, M. Dash, S. Kar, K. Muduli, Anil Kumar K, S. Luthra
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引用次数: 2

摘要

本研究系统地探讨了2007年至2022年Scopus数据库中发表的现有文献的行为偏差与投资决策之间的模式和联系。本文的目的就是要解决这个问题。在这篇文章中,我们确定了哪些贡献的文献在这个特定的主题领域是最重要的,以及与之相关的引文、出版物和国家。书目耦合通过将它们组织成不同的组,为论文提供了更深入的见解。出版物的模式被揭示出来,不同类型文献之间的联系为未来研究应该采取的路径提供了见解。本研究仅考虑了Scopus数据库中的文章。未来的研究可以基于已经在其他数据库中发表的论文。独创性/价值本研究的结果为投资者的智力结构和偏见提供了有价值的见解,并为现有知识增加了价值。这一综述为行为偏差与投资决策的未来研究趋势提供了路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring behavioural bias affecting investment decision-making: a network cluster based conceptual analysis for future research
PurposeThis study systematically explores the patterns and connections in the behavioural bias and investment decisions of the existing literature in the Scopus database published between 2007 and 2022. The purpose of this paper is to address this issue.FindingsIn the article it was determined which contributed documents were the most significant in this particular subject area along with the citations, publications and nations that were associated with them. The bibliographic coupling offered more in-depth insights into the papers by organizing them into distinct groups. The pattern of the publications has been brought to light, and the connection between different types of literature has provided insight into the path that future studies should take.Research limitations/implicationsThis study considered only articles from the Scopus database. Future studies can be based on papers that have been published in other databases.Originality/valueThe outcome of this study provides valuable insights into the intellectual structure and biases of investors and adds value to existing knowledge. This review provides a road map for the future trend of research on behavioural bias and investment decisions.
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