scholarly journals Factors Influencing Financial Risk Tolerance: A Review

2021 ◽  
Vol 12 (1) ◽  
pp. 296-305
Author(s):  
Mubarokah Bunyamin ◽  
Norwazli Abdul Wahab
Keyword(s):  
Financial Market ◽  
Financial Risk ◽  
Industrial Revolution ◽  
Well Being ◽  
Risk Tolerance ◽  
Geographical Differences ◽  
Health Crisis ◽  
Factors Affecting ◽  
Financial Decisions ◽  
Financial Risk Tolerance

High financial risk tolerance level encourages investors’ participation  in financial market. Thus, elevate their capabilities to achieve their financial goals and support national economic growth and well-being. This paper aims to investigate the factors affecting financial risk tolerance from studies around the globe. A comprehensive review of financial risk tolerance is carried out with a particular attention on factors that impact financial risk tolerance on financial decisions. This study indicates that financial risk tolerance can be explained by demographic profiles, psychology, social, geographical differences, and financial capability factors. These  findings will be useful to professionals, technologists, and financial institutions to identify potential investors based on the indicators concluded with the suggestion on financial technology (FinTech) utilisation. Hence, encouraging participation in the Malaysian financial market during global health crisis and  reaching  economic  well-being  towards industrial revolution 4.0 (IR 4.0).

Impact of Risk Tolerance and Demographic Factors on Financial Investment Decision

GIS Business ◽  
2018 ◽  
Vol 13 (5) ◽  
pp. 31-40
Author(s):  
Mitali Baruah ◽  
Abhishek Kirit kumar Parikh
Keyword(s):  
Financial Risk ◽  
Investment Decision ◽  
Demographic Factors ◽  
Demographic Variables ◽  
Risk Tolerance ◽  
Extensive Literature ◽  
Financial Investment ◽  
Financial Decisions ◽  
The Impact ◽  
Financial Risk Tolerance

Risk tolerance is popularly used in the personal financial planning industry to understand an investor’s attitude towards risk. In the twenty-first century, it is very important for the various investment firms, fund managers, financial planners to understand financial investment decisions of an investor for developing a strategy for the sale of their investment products in market. However, financial decisions of an individual not only depend on financial risk-tolerance level, but also upon different demographic factors. Thus, this study is undertaken to develop a model that helps in understanding impact of risk tolerance and demographic factors jointly on investment decision, especially, a decision related to level of investment. Also, investor may be having higher risk tolerance for the calculative investment but may be having lover risk tolerance in speculative investment. So, based on extensive literature support, this research has tried to propose a model for understanding the impact of investment risk tolerance, capital risk tolerance, speculative risk tolerance, and six important demographic variables jointly on investment decision. Thus, this study would be helpful to investment firms in understanding impact of risk tolerances and demographic variables jointly on level of investment of investors, which can be used for designing a strategy or investment product to offer to the investors with different levels of financial risk tolerance and different demographic profiles.

scholarly journals The effect of age and gender on financial risk tolerance of South African investors

2018 ◽  
Vol 15 (2) ◽  
pp. 96-103 ◽  
Author(s):  
Zandri Dickason ◽  
Sune J. Ferreira
Keyword(s):  
South African ◽  
Financial Risk ◽  
Risk Tolerance ◽  
Financial Decisions ◽  
Investment Companies ◽  
Risk Profiling ◽  
Gender And Age ◽  
And Gender ◽  
Financial Risk Tolerance ◽  
Effect Of Age

Financial risk tolerance refers to the amount of risk a person is willing to take when making financial decisions. Previous researchers have found that demographic factors when used as independent variables to have an effect on the risk tolerance behavior of investors. Within this study, emphasis was given to gender and age within a sample of South African investors. Not much research on risk tolerance and demographics has been done in South Africa. Hence, an opportunity for further research within this field emerged. This study aimed to contribute towards the accurate risk profiling of South African investors based on their level of risk tolerance considering their gender and age. This study can be used as a future forecasting tool for investment companies to predict risk tolerance levels based on gender and age levels. Results from this study correspond to previous studies where male investors are more risk tolerant than female investors. A statistical difference was also found between male and female investors within the age categories of 35-49 years and investors older than 50 years. All age categories were found to be more risk tolerant for investors older than 50 years based on the binary regression.

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.

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