Providing a Model for Predicting the Financial Behavior of Investors in the Iranian Stock Market
The pattern of investor behaviour in the stock market is a complex process that is influenced by many factors such as Personality, culture, behavioral patterns, emotional and cognitive biases. The purpose of this study is to provide a model for predicting the financial behavior of investors in the I...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Tishk International University
2020-07-01
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| Series: | Eurasian Journal of Management & Social Sciences |
| Subjects: | |
| Online Access: | https://ejmss.tiu.edu.iq/index.php/ejmss/article/view/67 |
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| Summary: | The pattern of investor behaviour in the stock market is a complex process that is influenced by many factors such as Personality, culture, behavioral patterns, emotional and cognitive biases. The purpose of this study is to provide a model for predicting the financial behavior of investors in the Iranian stock market. In order to achieve the objectives of this study, the necessary data were collected in a time period during the 2019-2020 spring. Then fuzzy analysis method was used to analyze the data. The results showed that the self-attribution criterion with a weight of 0.107 is in the first priority, the criterion of remorse with a weight of 0.099 is in the second priority and finally the criterion of increasing risk with a weight of 0.094 is in the third priority. |
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| ISSN: | 2708-177X 2708-034X |