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Financial Literacy of Youth. A Sensitivity Analysis of the Determinants

Author

Listed:
  • Martin Samy

    (Hope Business School, Liverpool Hope University, Liverpool)

  • H. Tawfik
  • R. Huang
  • A. K. Nagar

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

Suggested Citation

  • Martin Samy & H. Tawfik & R. Huang & A. K. Nagar, 2008. "Financial Literacy of Youth. A Sensitivity Analysis of the Determinants," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 1(1), pages 55-70, April.
    • Handle: RePEc:tei:journl:v:1:y:2008:i:1:p:55-70
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    References listed on IDEAS

    as
    1. Chen, Haiyang & Volpe, Ronald P., 1998. "An Analysis of Personal Financial Literacy Among College Students," Financial Services Review, Elsevier, vol. 7(2), pages 107-128.
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    Cited by:

    1. Erzsébet Németh & Alexandra Luksander, 2019. "Children and consumer temptations - Financial personality test for children," Proceedings of Economics and Finance Conferences 9510897, International Institute of Social and Economic Sciences.
    2. Panha Heng & Scott J. Niblock & Jennifer L. Harrison, 2015. "Retirement policy: a review of the role, characteristics, and contribution of the Australian superannuation system," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 29(2), pages 1-17, November.
    3. Adriana ZAIT & Patricea Elena BERTEA, 2014. "Financial Literacy – Conceptual Definition and Proposed Approach for a Measurement Instrument," The Journal of Accounting and Management, Danubius University of Galati, issue 3, pages 37-42, December.

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    Keywords

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    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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