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Analysis of Factors Determining Financial Literacy Using Structural Equation Modelling#


Affiliations
1 Bharathiar University, Coimbatore, India
2 Presidency College, Bangalore, India
 

Financial literacy will enable better decision making and efficient management of funds. The knowledge of basic foundations of time value can result in building a robust portfolio. The recent initiatives by the government on financial inclusion aids in promoting faster access to transfer benefits. The policy implementation on bank accounts for all, linking of Aadhar to the accounts, insurance of minimum sum assured for all and the basic annuation schemes are some of the initiatives well devised by the Modi Government. The RBI on the other hand, had initiated various financial literacy programmes to have significant inclusion. The key to successful inclusion is financial literacy. In this context, the paper attempted to identify factors that determine financial literacy. The data was collected through primary sources trough structured questionnaire. The tools used for the analysis was confirmatory factor analysis and structural equation modelling. The factors identified were financial attitude, behavioural factors, financial knowledge and influence and among the factors financial knowledge and influence were observed to predict financial literacy.


Keywords

Behavioural Finance, Financial Literacy, Financial Inclusion.
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  • Aren, S. (2014). A literature review on financial literacy, 33–50. Available from crossref

  • Barbara, M. B. (2010). Structural equation modelling with AMOS. Routledge, 53–127

  • Bhushan, P., & Medury, Y. (2013). Financial literacy and its determinants. International Journal of Engineering, Business, and Enterprise Applications, 4(2), 155–60.

  • Das, S. (2016). Financial literacy: measurement and determinants, 88–93. Avaliable from crossref

  • Fatemeh, K. & Stanley Y. (2017). Level of financial literacy in Malaysia. International Journal of Research. Availabel from: crossref

  • Hair, J. F. et al. (2010). Multivariate data analysis, Pearson education, 627–87.

  • Islamoglu, M. et al. (2015). Determination of Factors Affecting Individual Investor Behaviours: A Study on Bankers, 5(2), 531–43. Available from: crossref › Home › Vol 5, No 2 (2015) › İslamoğlu

  • Kharchenko, O. (2011). Financial literacy in Ukraine: Determinants and implications for saving behavior.

  • (Doctoral dissertation, Kyiv School of Economics). Avbailable from: crossref

  • Lusardi, A., Mitchell, O. S., & Curto, V. (2009). Financial literacy among the young: Evidence and implications for consumer policy. (No. w15352). National Bureau of Economic Research. Available from crossref crossref crossref

  • Mbarire, T. T., & Ali, A. I. (2014). Determinants of financial literacy levels among employees of Kenya Ports Authority in Kenya. Research Journal of Finance and Accounting, 5(16), 44-52.

  • OECD, International Network on Financial Education. (2011). crossref

  • OECD, The Importance of Financial education. (2006). Available from crossref

  • Rasoaisi, L., & Kalebe, K.M. (2015). Determinants of Financial Literacy among the National University of Lesotho Students. Asian Economic and Financial Review, 5(9), 1050–60. crossref

  • Sabri, M. F et. al. (2010). Childhood consumer experience and the financial literacy of college students in Malaysia. Family and Consumer Sciences Research Journal, 38(4), 455–67 crossref

  • Sucuahi, W. T. (2013). Determinants of financial literacy of micro entrepreneurs in Davao City. International Journal of Accounting Research, 1(1), 44–51. crossref

  • Vyvyan, V., Blue, L., & Brimble, M. (2014). Factors that Influence Financial Capability and Effectiveness: Expl -oring Financial Counsellors’ Perspectives. Australasian Accounting Business & Finance Journal, 8(4), 3. crossref


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  • Analysis of Factors Determining Financial Literacy Using Structural Equation Modelling#

Abstract Views: 328  |  PDF Views: 95

Authors

Thilak Venkatesan
Bharathiar University, Coimbatore, India
R. Venkataraman
Presidency College, Bangalore, India

Abstract


Financial literacy will enable better decision making and efficient management of funds. The knowledge of basic foundations of time value can result in building a robust portfolio. The recent initiatives by the government on financial inclusion aids in promoting faster access to transfer benefits. The policy implementation on bank accounts for all, linking of Aadhar to the accounts, insurance of minimum sum assured for all and the basic annuation schemes are some of the initiatives well devised by the Modi Government. The RBI on the other hand, had initiated various financial literacy programmes to have significant inclusion. The key to successful inclusion is financial literacy. In this context, the paper attempted to identify factors that determine financial literacy. The data was collected through primary sources trough structured questionnaire. The tools used for the analysis was confirmatory factor analysis and structural equation modelling. The factors identified were financial attitude, behavioural factors, financial knowledge and influence and among the factors financial knowledge and influence were observed to predict financial literacy.


Keywords


Behavioural Finance, Financial Literacy, Financial Inclusion.

References





DOI: https://doi.org/10.18311/sdmimd%2F2018%2F19998