Financial Literacy of Youth - A Sensitivity Analysis of the Determinants

International Journal of Economic Sciences and Applied Research, Vol. 1, Issue 1, April 2008

16 Pages Posted: 27 Nov 2009

See all articles by M. Samy

M. Samy

affiliation not provided to SSRN

H. Tawfik

affiliation not provided to SSRN

R. Huang

affiliation not provided to SSRN

A. K. Nagar

affiliation not provided to SSRN

Date Written: April 2008

Abstract

This paper reports on the potential use of Neural Network as a sensitivity modeling tool for the determinants of financial literacy. The financial literacy modeling in this research has been attempted to measure the literacy of youth in the Australian society with respect to their financial knowledge of Credit Cards, Loans and Superannuation (Pensions scheme in Australia that allows for choice of funds and investment decisions by the member). Based on the financial literacy related parameters, Neural Networks results showed good promise and capability for efficient financial literacy determinants, and represent a potentially robust and fault tolerant approach. The findings indicate that the determinants of credit card are significantly dependent on a student’s year of study, credit card status and daily routine, which has a strong relevance to respondents’ knowledge of credit cards. (n=1070; 9.0070 and 10.5898 respectively). This study did not have the intention to explore the skills of youth in order to measure the level of financial literacy but the objective was to test the basic financial knowledge of key products that is common to youth in Australian society. In so doing, the researchers were keen to identify the determinants of financial knowledge.

Keywords: Financial Literacy and/or Knowledge, Youth Finance, Credit Cards, Superannuation

JEL Classification: I22 and G18

Suggested Citation

Samy, M. and Tawfik, H. and Huang, R. and Nagar, A. K., Financial Literacy of Youth - A Sensitivity Analysis of the Determinants (April 2008). International Journal of Economic Sciences and Applied Research, Vol. 1, Issue 1, April 2008, Available at SSRN: https://ssrn.com/abstract=1509335

M. Samy (Contact Author)

affiliation not provided to SSRN

H. Tawfik

affiliation not provided to SSRN

R. Huang

affiliation not provided to SSRN

A. K. Nagar

affiliation not provided to SSRN

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