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An Analysis of the Financial Performance of Selected Savings and Credit Co-Operative Societies in Botswana

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  • C Sathyamoorthi
  • Christian Mbekomize
  • Ishmael Radikoko
  • Lillian Wally-Dima

Abstract

The co-operative sector plays an important role in a country’s socio-economic development. This paper evaluated the financial performance of 9 selected Savings and Credit Co-operative Societies (SACCOSs) in Botswana by analysing audited financial statements of a five-year period from 2008 to 2012. The analytical techniques used include descriptive statistics of financial aggregates and ratios, correlation, regression and common size analyses. The financial aggregates analysed included all items that impact income generation as well as items that represent the financial position of the selected societies. The findings underscored that the selected SACCOSs achieved good financial results and were in strong financial position. The results also indicated a significant relationship between Net Profit ratio and Capital Employed Ratio to inform that the Net Profit Ratio was the most important explainer of Return on Capital Employed. The 5 year common size analysis also revealed a growth in income and in the financial status of the selected societies. The capital structure of these societies was characterised by substantial share of internal funds. Conclusively, maintaining an optimal balance between the interest on loans and interest on members’ savings, and investing extra cash in diversified portfolio to reduce the risk levels would make the SACCOSs grow and function more productively and profitably. They would also then succeed in attracting more members and thereby significantly contribute towards poverty reduction and economic diversification drives in the country.

Suggested Citation

  • C Sathyamoorthi & Christian Mbekomize & Ishmael Radikoko & Lillian Wally-Dima, 2016. "An Analysis of the Financial Performance of Selected Savings and Credit Co-Operative Societies in Botswana," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(8), pages 180-180, August.
    • Handle: RePEc:ibn:ijefaa:v:8:y:2016:i:8:p:180
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    References listed on IDEAS

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    1. Y. A. Babalola & F. R. Abiola, 2013. "Financial Ratio Analysis of Firms: A Tool for Decision Making," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 1(4), pages 132-137.
    2. Martin Browning & Thomas F. Crossley, 2001. "The Life-Cycle Model of Consumption and Saving," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 3-22, Summer.
    3. Krishn Awatar Goyal, 2013. "An Empirical Case Study on Prediction of Corporate Failure in The Selected Industrial Unit in India," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 4(4), pages 132-137, November.
    4. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    5. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    6. Angus Deaton, 2005. "Franco Modigliani and the life-cycle theory of consumption," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 58(233-234), pages 91-107.
    7. V. Sivarama Krishnan & R. Charles Moyer, 1994. "Bankruptcy Costs and the Financial Leasing Decision," Financial Management, Financial Management Association, vol. 23(2), Summer.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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