Using Mental Accounting in Optimal Portfolio Selection
سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 213
فایل این مقاله در 7 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_MSESJ-7-1_002
تاریخ نمایه سازی: 25 اسفند 1403
چکیده مقاله:
The objective of the present study is to employ mental accounting in the selection of an optimal portfolio. This study is applied in its objective and employs a descriptive-survey method in its research methodology. The statistical population consisted of all professional accountants. Sampling was conducted using simple random sampling. A sample of ۲۰۰ individuals participated. The data collection instrument was a researcher-developed questionnaire, and for data analysis, structural equation modeling and interpretive structural methods were utilized using SPSS, LISREL, and Excel software. A questionnaire comprising ۴۶ indicators affecting mental accounting was administered to members of an expert group, and the fuzzy Delphi results indicated the elimination of six indicators (Maslow's hierarchy of needs, barriers to investment in other sectors, self-efficacy, enhancement of community health, consumption and saving patterns, investor peace of mind). Based on the results obtained from exploratory and confirmatory factor analyses, all ۴۰ indicators were validated as factors influencing mental accounting. Subsequently, the interpretive structural model was utilized. According to the results, level ۱۲, which includes criterion number ۴۰, is identified as the most influential level, directly affecting the criteria at level ۱۱. Level one is selected as the most influenced level, which comprises nine indicators. Additionally, indicators within the same level have mutual, pairwise influences on each other. Finally, to assess the model's validity and the accuracy of the findings, the member-checking strategy was employed, and its results confirmed the model's validity. Based on the results, investors should adopt a mental accounting approach for the entire portfolio and set longer-term objectives. The objective of the present study is to employ mental accounting in the selection of an optimal portfolio. This study is applied in its objective and employs a descriptive-survey method in its research methodology. The statistical population consisted of all professional accountants. Sampling was conducted using simple random sampling. A sample of ۲۰۰ individuals participated. The data collection instrument was a researcher-developed questionnaire, and for data analysis, structural equation modeling and interpretive structural methods were utilized using SPSS, LISREL, and Excel software. A questionnaire comprising ۴۶ indicators affecting mental accounting was administered to members of an expert group, and the fuzzy Delphi results indicated the elimination of six indicators (Maslow's hierarchy of needs, barriers to investment in other sectors, self-efficacy, enhancement of community health, consumption and saving patterns, investor peace of mind). Based on the results obtained from exploratory and confirmatory factor analyses, all ۴۰ indicators were validated as factors influencing mental accounting. Subsequently, the interpretive structural model was utilized. According to the results, level ۱۲, which includes criterion number ۴۰, is identified as the most influential level, directly affecting the criteria at level ۱۱. Level one is selected as the most influenced level, which comprises nine indicators. Additionally, indicators within the same level have mutual, pairwise influences on each other. Finally, to assess the model's validity and the accuracy of the findings, the member-checking strategy was employed, and its results confirmed the model's validity. Based on the results, investors should adopt a mental accounting approach for the entire portfolio and set longer-term objectives.
کلیدواژه ها:
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 :