Investors differ in their decisions with respect to risk, returns and market analysis. The present study attempts to examine the influence of financial literacy on retail investors' decisions in relation to return, risk and market analysis. The study uses convenience sampling to collect data from the retail investors through stock brokerage managers. Factor analysis has been employed for understanding factors of financial literacy. Financial literacy is composed of Accounting Information; Market Information; Broad Overview; and Technical Knowledge. The factors of Investment decisions are: Return Analytics; Risk Analytics; and Market. The risk and return analytics have stronger impact on investors decision than market analytics. PLS SEM has been employed for examining relation between financial literacy and Investment decision. The results suggest a significant positive relation between financial literacy and investment decision.
This study covers the gender-wise analysis of how behavioural factors and socio-economic factors along with the level of financial literacy influence investment decisions of Indian retail investors. Equally pertinent is to understand that will it have a different influence and bearing on males and females. Multivariate technique partial least squares-structural equation modelling (PLS-SEM) has been applied to develop the model and analyse the results. The study used a structured questionnaire for collecting data from retail investors. The findings of PLS-SEM show that in both genders, behavioural factors, socio-economic factors and financial literacy factors significantly affect investment decisions. However, the findings demonstrate that for women investors, the model is more effective. This study may be useful for prospective fund managers as, in many earlier studies, women are considered to be risk aversive. The results demonstrate that there is a need to target women, and the scenario today is not similar to the pre-existing ones. JEL Classification: G110, G4
This paper tries to investigate that is there any discrimination in saving habits based on various demographic factors. The study is based on primary data collected through a questionnaire on a Likert Scale of 1–5. Investor's savings habits have been classified as low, medium and high. The findings of the study show that there is significant discrimination in investors' savings habits based on demographic factors. The results of this study help financial institutions and bankers focus on these factors to develop successful strategies to promote saving and investment habits among retail investors.
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