An Empirical Analysis of Financial Risk Tolerance and Demographic Features of Individual Investors

Author(s):  
Ebrahim Kunju Sulaiman
2021 ◽  
pp. 231971452110582
Author(s):  
Pragati Hemrajani ◽  
Rajni ◽  
Rahul Dhiman

The aim of this article is to look at how two psychological factors affect financial risk tolerance (FRT) and financial risk-taking behaviour (FRB) of individual investors. The study also investigates the role of FRT in mediating the relationship between psychological factors and FRB. A standardized questionnaire was used to collect the information. For the study, a total of 303 completed questionnaires were used. The proposed research model was validated and assessed using partial least squares structural equation modelling. The findings revealed some important experiences. Emotional intelligence and impulsiveness have a significant relationship with both FRT and FRB, according to the results. The findings also support FRT’s position as a mediating factor in the proposed research model. The results emphasize the importance of psychological factors in determining an individual’s FRT and FRB. FRT is a complex mechanism that entails more than just psychological considerations. As a result, further research is needed to decide which additional factors financial advisors can use to increase the explained variance in FRT inequalities.


2020 ◽  
Vol 10 (4) ◽  
pp. 220-234
Author(s):  
Naveed Hussain Shah ◽  
Waqar Khalid ◽  
Saifullah Khan ◽  
Muhammad Arif ◽  
Muhammad Asad Khan

2021 ◽  
pp. 026010792110321
Author(s):  
Antonella Somma ◽  
Rebecca Sergi ◽  
Chiara Pagliara ◽  
Clelia Di Serio ◽  
Andrea Fossati

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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