Demographic Variables, Delay Discounting Models and Dysfunctional Personality Traits as Predictors of Financial Risk-Tolerance Among Community-Dwelling Italian Adults

IF 0.4 Q4 ECONOMICS Journal of Interdisciplinary Economics Pub Date : 2021-08-03 DOI:10.1177/02601079211032117
A. Somma, Rebecca Sergi, Chiara Pagliara, C. Di Serio, A. Fossati
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引用次数: 1

Abstract

To evaluate the effect of demographic variables, delay discounting and dysfunctional personality traits on financial risk tolerance (FRT), 281 community-dwelling adults were administered the Italian translations of the Risk-Tolerance Scale (RTS), Monetary Choice Questionnaire, Probability Discounting Questionnaire, and Personality Inventory for DSM-5-Short Form (PID-5-SF) self-report questionnaires through an online platform. Hierarchical robust regression results showed that the linear combination of demographic variables (gender and active worker status), delay discounting measures and selected PID-5-SF trait scale scores (i.e., Attention Seeking and Risk Taking) explained roughly 39% of the RTS total score. As a whole, our findings underscore the role of demographic characteristics, dysfunctional personality traits and delay discounting in FRT expression. As a result, FRT is likely to represent the linear combination of several factors that should be assessed in order to understand FRT and prevent erroneous choices among lay investors.
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人口统计学变量、延迟贴现模型和功能失调人格特征作为意大利社区居民金融风险承受能力的预测因子
为了评估人口统计学变量、延迟折现和功能失调人格特征对金融风险容忍(FRT)的影响,通过在线平台对281名社区居民进行了风险容忍量表(RTS)、货币选择问卷、概率折现问卷和人格量表(dsm -5- sf)自我报告问卷的意大利语翻译。分层稳健回归结果显示,人口统计学变量(性别和在职工人状态)、延迟折扣措施和选择的PID-5-SF特征量表得分(即注意寻求和风险承担)的线性组合解释了大约39%的RTS总分。总的来说,我们的研究结果强调了人口统计学特征、功能失调人格特征和延迟折扣在FRT表达中的作用。因此,FRT很可能代表了几个因素的线性组合,为了理解FRT并防止非专业投资者的错误选择,应该对这些因素进行评估。
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