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: Sallar Ashqi Kareem
Format: Article
Language:English
Published: Tishk International University 2020-07-01
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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author Sallar Ashqi Kareem
author_facet Sallar Ashqi Kareem
author_sort Sallar Ashqi Kareem
collection DOAJ
description 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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spelling doaj-art-e049535532e744aa8e669808a3d975da2025-08-20T03:08:56ZengTishk International UniversityEurasian Journal of Management & Social Sciences2708-177X2708-034X2020-07-0113203310.23918/ejmss.v1i3p2069Providing a Model for Predicting the Financial Behavior of Investors in the Iranian Stock MarketSallar Ashqi Kareem0Department of Accounting, Faculty of Administrative Sciences, Tishk International University, Erbil, IraqThe 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.https://ejmss.tiu.edu.iq/index.php/ejmss/article/view/67financial behaviorstock marketinvestorspredicting
spellingShingle Sallar Ashqi Kareem
Providing a Model for Predicting the Financial Behavior of Investors in the Iranian Stock Market
Eurasian Journal of Management & Social Sciences
financial behavior
stock market
investors
predicting
title Providing a Model for Predicting the Financial Behavior of Investors in the Iranian Stock Market
title_full Providing a Model for Predicting the Financial Behavior of Investors in the Iranian Stock Market
title_fullStr Providing a Model for Predicting the Financial Behavior of Investors in the Iranian Stock Market
title_full_unstemmed Providing a Model for Predicting the Financial Behavior of Investors in the Iranian Stock Market
title_short Providing a Model for Predicting the Financial Behavior of Investors in the Iranian Stock Market
title_sort providing a model for predicting the financial behavior of investors in the iranian stock market
topic financial behavior
stock market
investors
predicting
url https://ejmss.tiu.edu.iq/index.php/ejmss/article/view/67
work_keys_str_mv AT sallarashqikareem providingamodelforpredictingthefinancialbehaviorofinvestorsintheiranianstockmarket