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Financial Ratios Approach to Evaluating Financial Performance of Cal Bank Ghana from 2010 to 2014

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  • Eric Kwaku Attefah
  • Ernest Appiah Darko

Abstract

This study was undertaken to evaluate financial performance of Cal Bank Limited. Its main objective was to examine empirically the financial performance of the bank in terms of its financial healthiness, liquidity, profitability, credit risk and solvency and efficiency for the period of 2010-2014. The study employed Altman Z-Score which combines five common ratios in a multivariate formula for predicting financial healthiness, financial ratios such as Return on Asset (ROA), Return on Equity (ROE), Profit Expense Ratio (PER), Loan to Deposit ratio (LDR), Cash To Deposit Ratio (CDR), Loan to Assets Ratio (LAR), Debt to Equity Ratio (DER), Debt to Total Asset Ratio (DTAR), Equity Multiplier (EM), Asset Utilization (AU), Income to Expense ratio (IER) and Operating Efficiency (OE). This study found that the bank had been financially healthy within the five years under study and all results of profitability ratios indicate that Cal Bank was profitable. Cal Bank was consistently improving and performing better in making good returns on Investment (assets), satisfying their shareholders in offering competitive or even better returns, making good returns customers’ deposits and also managing their operating expenses over the years. Besides, an overall analysis of all liquidity, efficiency, and risk and solvency measures reveals that Cal Bank was less liquid, efficient in asset utilization, income generation, and managing its expenses and less risky and more solvent. However, the results also show that Cal Bank is improving overtime considerably in these liquidity, efficiency and risk & solvency measures during the period under the study.

Suggested Citation

  • Eric Kwaku Attefah & Ernest Appiah Darko, 2016. "Financial Ratios Approach to Evaluating Financial Performance of Cal Bank Ghana from 2010 to 2014," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(6), pages 150-176, June.
    • Handle: RePEc:hur:ijarbs:v:6:y:2016:i:6:p:150-176
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    4. Michelle Clark Neely & David C. Wheelock, 1997. "Why does bank performance vary across states?," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 27-40.
    5. Michele Fratianni & Francesco Marchionne, 2009. "Rescuing Banks from the Effects of the Financial Crisis," Mo.Fi.R. Working Papers 30, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    6. Saleh Salman, Ali & Zeitun, Rami, 2006. "Islamic Banking Performance in the Middle East: A Case Study of Jordan," Economics Working Papers wp06-21, School of Economics, University of Wollongong, NSW, Australia.
    7. Hasan, Zubair, 2005. "Evaluation of Islamic banking performance: On the current use of econometric models," MPRA Paper 6461, University Library of Munich, Germany.
    8. Munawar Iqbal & Philip Molyneux, 2005. "Thirty Years of Islamic Banking," Palgrave Macmillan Studies in Banking and Financial Institutions, Palgrave Macmillan, number 978-0-230-50322-9, June.
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    Cited by:

    1. Matey, Juabin, 2019. "Financial Performance Analysis of Distressed Banks in Ghana: Exploration of Financial Ratios and Z-score," MPRA Paper 97282, University Library of Munich, Germany, revised 28 Nov 2019.
    2. Matey, Juabin, 2019. "Financial Performance Analysis Of Distressed Banks: Exploration Of Financial Ratios And The Z-score," MPRA Paper 104499, University Library of Munich, Germany, revised 19 Nov 2019.

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