International Journal of Nonlinear Analysis and Applications

Providing a model for identifying the risk aversion components of shareholders

Document Type : Research Paper

Authors

Department of Accounting, South Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

One of the most important goals of every country is to achieve economic growth. One of the main factors in achieving this goal is an investment. People usually have to make decisions for investment the issue that is raised here is the existence of risk in these decisions. One of the important factors for making a successful decision in such conditions is people's attitude toward risk, many factors influence people's attitude toward this issue. Nowadays, these factors are studied in behavioral economics. Suppose these factors lead to the increase of risk-averse people in society. In that case, this has many consequences for society, including the reduction of investment and as a result, economic growth. The main goal of this research is to provide a model to identify the risk aversion components of shareholders. This research is a description of the survey type from the point of view of the application goal and the point of view of the method. The statistical community of the research is the country of Iran. The participants in the research include managers, shareholders, and investors with related scientific backgrounds and experience in the stock market. Therefore, in this research, managers, shareholders, and investors active in the stock market have been selected as participants. In this research, the purposeful sampling method and theoretical sampling strategy with maximum variety have been used. In this research, the researcher reached the theoretical saturation by interviewing 9 people, and to be sure, the interviews continued until 11 people. Data analysis was done using MAXQDA OLS and pls software. The results of the research have identified the risk aversion components of shareholders.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 16, Issue 1
January 2025
Pages 263-279
  • Receive Date: 28 April 2023
  • Accept Date: 11 June 2023