Identifying and categorizing of effective factors on individual investors behavior in Tehran’s stock market (Behavioral finance perspective)
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 247
فایل این مقاله در 13 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJFMA-4-16_009
تاریخ نمایه سازی: 13 آذر 1400
چکیده مقاله:
Investors behavior is one of the most important discussion of the financial science in the financial market. Individual investors consider various factors when they buy and sell securities and show different behavior (Rational, Herding, Reaction and Heuristic). The main purpose of this research is to identify and categorize factors which impact individual investors behavior that are known as behavioral biases in behavioral finance literature. This research is practical as objective and implies a descriptive-survey research method. At the first phase of the research for the purpose of identifying those factors that impact the investors behavior, ۳۰ behavioral finance experts participated. In the second phase of the research (examining the proposed model), statistical population consists of all investors in Tehran stock market of which ۳۸۴ samples were selected randomly.. Questionnaires were made by researchers. Cronbach’s alpha Coefficient is ۰.۷۹ and ۰.۸۲ Respectively that indicates suitable reliability. The SPSS software and Smartpls.۲ software was used for analyzing the data. The result of statistical analysis revealed that, financial ratios, status market, market total index trend, and rumors, etc were identified as influential factors. Finally, factors was classified in four group(Company Internal, Transactional information, Environmental and Psychological). Research proposal model was confirmed by confirmatory factor analysis
کلیدواژه ها:
نویسندگان
Keyvan Dadras
PhD Student in Industrial Management, Science and research branch, Islamic Azad University, Tehran , Iran
Abbas Toloie
Department of Industrial Management, Science and research branch, Islamic Azad University, Tehran, Iran (Corresponding Author)
Reza Radfar
Department of Industrial Management, Science and research branch, Islamic Azad University, Tehran, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :