scholarly journals Gender Differences in Risk Tolerance

2022 ◽  
pp. 64-82
Author(s):  
Júlio Lobão
Keyword(s):  
Gender Differences ◽  
Financial Risk ◽  
Economic Status ◽  
Total Sample ◽  
Risk Tolerance ◽  
Annual Income ◽  
Postgraduate Students ◽  
High Level ◽  
The University ◽  
Financial Risk Tolerance

In this chapter, the author examines the influence of gender on financial risk tolerance. The risk tolerance is assessed by the instrument developed by Grable and Lytton in a sample that includes 272 postgraduate students of the University of Porto (Portugal). The results show that males are significantly more risk-tolerant than females, even after controlling for factors such as the economic status and educational levels of the respondents' parents. The gender differences seem to be essentially driven by a higher proportion of males with high levels of risk tolerance. Moreover, belonging to a household with a high level of annual income contributes to increase the likelihood of exhibiting high levels of risk tolerance. In the total sample, the levels of risk tolerance are lower than those reported in similar studies. Overall, the author documents that there are significant gender differences in financial risk perception.

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

2021 ◽  
pp. 026010792110321
Author(s):  
Antonella Somma ◽  
Rebecca Sergi ◽  
Chiara Pagliara ◽  
Clelia Di Serio ◽  
Andrea Fossati
Keyword(s):  
Personality Traits ◽  
Linear Combination ◽  
Delay Discounting ◽  
Financial Risk ◽  
Short Form ◽  
Demographic Variables ◽  
Risk Tolerance ◽  
Community Dwelling ◽  
Self Report ◽  
Financial Risk Tolerance

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.

Personality, risk tolerance and social network use: an exploratory study

2016 ◽  
Vol 42 (6) ◽  
pp. 536-552 ◽  
Author(s):  
Shaista Wasiuzzaman ◽  
Siavash Edalat
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Financial Risk ◽  
Ordinary Least Squares ◽  
Risk Tolerance ◽  
Network Activity ◽  
Least Squares Regression ◽  
Content Type ◽  
Financial Risk Tolerance

Purpose – The vast amount of information available via online social networks (OSN) makes it a very good avenue for understanding human behavior. One of the human characteristics of interest to financial practitioners is an individual’s financial risk tolerance. The purpose of this paper is to look at the relationship between an individual’s OSN behavior and his/her financial risk tolerance. Design/methodology/approach – The study uses data collected from a sample of 220 university students and the backward variables selection ordinary least squares regression analysis technique to achieve its objective. Findings – The results of the study find that the frequency of logging on to social network sites indicates an individual who has higher financial risk tolerance. Additionally, the increasing use of social networks for social connection is found to be associated with lower financial risk tolerance. The results are mostly consistent when the sample is split based on prior financial knowledge. Originality/value – To the authors’ knowledge this is the first study which documents the possibility of understanding an individual’s financial risk tolerance via his/her social network activity. This provides investment/financial consultants with more avenues for gathering information in order to understand their current or potential clients hence providing better services.

Impact of Behavioral Biases in Financial Risk Tolerance Ability of Mutual Fund Investors

2021 ◽  
Vol 7 (5) ◽  
pp. 2748-2765
Author(s):  
Nidhi Jain ◽  
Bikrant Kesari
Keyword(s):  
Mutual Fund ◽  
Financial Risk ◽  
Positive Impact ◽  
Investment Decision ◽  
Central India ◽  
Risk Tolerance ◽  
Behavioral Biases ◽  
Asset Class ◽  
Level Of Knowledge ◽  
Financial Risk Tolerance

Objective: The Behavioral bias is the term that deals with the investors’ psychology about their investment decision with their investment expertise. Every individual is biased, according to standard economic theory by his behavior and experiences which are rational. Methods: This research seeks to segregate mutual fund holders into various groups (persons and professionals) based on Behavioral biases and then investigates whether these Behavioral biases are influencing the level of knowledge of investors and the financial risk tolerance of certain mutual funds. Statistical tools compare investors characteristics and analyse how Behavioral biases are associated. Results: The factors analysed are financial circumstance, Type of Investors, Asset class preference, Time Horizon and Purpose of Investment. The primary information was gathered from 250 Central India mutual fund investors dependent on Judgment sampling. CFA, Correlation, MANOVA and Regression. Conclusions: Findings shows the effect of the behavior bias has positive impact on mutual fund investor awareness and financial risk tolerance.

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