International Journal of Nonlinear Analysis and Applications

Behavioral-psychological pattern of investors to make decisions based on environmental drivers in the Tehran Stock Exchange

Document Type : Research Paper

Authors

1 Department of Management, Arak Branch, Islamic Azad University, Arak, Iran

2 Department of Business Management, Arak Branch, Islamic Azad University, Arak, Iran

3 Department of Accounting, Arak Branch, Islamic Azad University, Arak, Iran

Abstract

Investors' behavior is subject to actions and environmental factors in various political, legal, regional, security, etc. dimensions that can make the investment field undergo fundamental changes. Since looking into the future is inevitable and necessary in all economic categories, in the field of investors' behavior, it is possible to pay special attention to their financial and economic developments in a futuristic manner in the direction of development. Conceptual and formative model of behavioral-psychological investors for decision-making based on environmental drivers, the researcher, while describing, explaining and modeling, seeks to identify indicators and components that play the role of investors' behavior in development. They determine the attitude and beliefs of investors. This qualitative research is based on the foundation data method and with the Strauss-Corbin approach and semi-structured interview tool to present a conceptual model in order to investigate the behavior of investors in a prospective manner through interviews with 15 experts who were selected by the snowball method, within the scope at the height of the call from different sections of society to attend the stock exchange, i.e. from 2018 to 2022. The result of the research led to the presentation of 130 concepts and 14 categories, which were presented in the form of a paradigm model, and finally, in order to ensure the reliability of the tool, the within-subject agreement method was used, and the results obtained indicate the reliability of the tool. It was presented for use by investors, brokers, and policymakers of the Tehran Stock Exchange.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 15, Issue 11
November 2024
Pages 121-129
  • Receive Date: 22 August 2023
  • Revise Date: 08 November 2023
  • Accept Date: 18 November 2023