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Financial Literacy and Financial Risk Tolerance of Individual Investors: Multinomial Logistic Regression Approach

机译:个人投资者的金融扫盲和财务风险耐受性:多项式后勤回归方法

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Financial risk tolerance is one of the important factors affecting the financial investment decisions of individuals and institutional investors and a crucial factor of financial planning and financial counseling. It is therefore necessary to determine the major determinants of risk tolerance. In this article, we researched the impact of financial literacy level and demographic characteristics on the financial risk tolerance of the individuals in the sample of Usak University staff, using a multinomial logistic regression analysis and retrieving data through the questionnaire method. Multinomial logistic regression is an extension of binary logistic regression, allowing for three or more categories of the dependent variable. The findings of the empirical analysis reveal that financial literacy and demographic characteristics of age, gender, education, and income levels are significant determinants of financial risk tolerance. In this regard, the improvements in the financial literacy of the individuals through various education programs will probably raise the demand of financial products with different risk characteristics and in turn contribute to the development of financial sector.
机译:财务风险耐受性是影响个人和机构投资者的金融投资决策的重要因素之一,以及财务规划和财务咨询的关键因素。因此,有必要确定风险耐受性的主要决定因素。在本文中,我们研究了金融扫盲水平和人口特征对乌斯克大学员工样本的财务风险容忍度的影响,采用多项式物流回归分析和通过调查方法检索数据。多项式逻辑回归是二进制逻辑回归的扩展,允许三个或更多类别的因变量。实证分析的调查结果表明,金融识字和年龄,性别,教育和收入水平的人口特征是财务风险耐受性的重要决定因素。在这方面,通过各种教育方案的个人金融识字性的改善可能会提高金融产品的需求,不同的风险特征,又为金融部门的发展有贡献。

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