IDEAS home Printed from https://ideas.repec.org/a/brc/journl/v43y2019i1p53-63.html

Assessment Of Financial Performance Of Selected Money Deposit Banks In Nigeria: A Ratio Analysis Approach

Author

Listed:
  • Nwachukwu, C

    (Mendel University, Brno, Czech Republic)

  • Vu, H. M

    (Van Lang University, Ho Chi Minh City, Vietnam)

  • Fadeyi, O

    (Anchor University, Ayobo Ipaja, Lagos State Nigeria)

Abstract

The study assessed and compared the financial performance of Zenith Bank Plc and Guaranty Trust Bank Plc two top banks in Nigeria for the period 2012-2016. Secondary data obtained from the annual reports of the two banks were subjected to statistical computation. Descriptive statistics in form were used to present the results. The findings revealed that Zenith Bank Plc management focused more on liquidity and risk asset quality while Guaranty Trust Bank Plc management emphasized more on profitability. The authors therefore, recommend that the balance/mix of liquidity and profitability objectives is important for the banks to deliver superior financial performance to their shareholders.

Suggested Citation

  • Nwachukwu, C & Vu, H. M & Fadeyi, O, 2019. "Assessment Of Financial Performance Of Selected Money Deposit Banks In Nigeria: A Ratio Analysis Approach," Management Strategies Journal, Constantin Brancoveanu University, vol. 43(1), pages 53-63.
    • Handle: RePEc:brc:journl:v:43:y:2019:i:1:p:53-63
    as

    Download full text from publisher

    File URL: http://www.strategiimanageriale.ro/papers/190106.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sabi, Manijeh, 1996. "Comparative Analysis of Foreign and Domestic Bank Operations in Hungary," Journal of Comparative Economics, Elsevier, vol. 22(2), pages 179-188, April.
    2. Edmister, Robert O., 1972. "An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(2), pages 1477-1493, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lin, Hsiou-Wei William & Lo, Huai-Chun & Wu, Ruei-Shian, 2016. "Modeling default prediction with earnings management," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 306-322.
    2. Francesco Ciampi & Alessandro Giannozzi & Giacomo Marzi & Edward I. Altman, 2021. "Rethinking SME default prediction: a systematic literature review and future perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2141-2188, March.
    3. Lehner, Maria & Schnitzer, Monika, 2008. "Entry of foreign banks and their impact on host countries," Journal of Comparative Economics, Elsevier, vol. 36(3), pages 430-452, September.
    4. Jeyhun A. Abbasov, 2017. "Financial ratios and the prediction of bankruptcy," Working Papers 1705, Central Bank of Azerbaijan Republic.
    5. Nicoleta BARBUTA-MISU, 2011. "A Specific Model for Assessing the Financial Performance:Case study on Building Sector Enterprises of Galati County - Romania," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 318-325.
    6. Ezekiel Adu Mensah. (CA, MCIT, MBA) & Nana Boatemaa Boadi (BSc, MBA) & Juliet Appiah Osei-Afoakwa (B.Ed, MBA, CA, MCIT) & Linda Quansah Ewudzie (BSc, MSc), 2024. "A Comparative Study of Non-Performing Assets of Foreign and Local Banks in Ghana: The Case of GCB Bank Ltd and Standard Chartered Bank in Ghana," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(6), pages 3145-3172, June.
    7. Yao-Zhi Xu & Jian-Lin Zhang & Ying Hua & Lin-Yue Wang, 2019. "Dynamic Credit Risk Evaluation Method for E-Commerce Sellers Based on a Hybrid Artificial Intelligence Model," Sustainability, MDPI, vol. 11(19), pages 1-17, October.
    8. Simone Narizzano & Marco Orlandi & Antonio Scalia, 2024. "The Bank of Italy’s statistical model for the credit assessment of non-financial firms," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems) 53, Bank of Italy, Directorate General for Markets and Payment System.
    9. Tarek Ibrahim Eldomiaty & Mohamed Hashem Rashwan & Mohamed Bahaa El Din & Waleed Tayel, 2016. "Firm, industry and economic determinants of working capital at risk," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 1-29, December.
    10. Ha-Thu Nguyen, 2015. "How is credit scoring used to predict default in China?," EconomiX Working Papers 2015-1, University of Paris Nanterre, EconomiX.
    11. García-Gallego, Ana & Mures-Quintana, María-Jesús, 2013. "La muestra de empresas en los modelos de predicción del fracaso: influencia en los resultados de clasificación || The Sample of Firms in Business Failure Prediction Models: Influence on Classification Results," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 15(1), pages 133-150, June.
    12. Ha-Thu Nguyen, 2014. "Default Predictors in Credit Scoring - Evidence from France’s Retail Banking Institution," EconomiX Working Papers 2014-26, University of Paris Nanterre, EconomiX.
    13. Ando, Tomohiro, 2009. "Bayesian inference for the hazard term structure with functional predictors using Bayesian predictive information criteria," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 1925-1939, April.
    14. Senol Emir & Hasan Dincer & Umit Hacioglu & Serhat Yuksel, 2015. "Comparative Study of Outlier Detection Algorithms via Fundamental Analysis Variables:An Application on Firms Listed in Borsa Istanbul," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 4(4), pages 45-60, October.
    15. Albert L. Page & Scott Cowen & Martin Cohen, 1979. "Loan Terms and Loan Repayment Performance: The Experience with Minority Small Businesses," Entrepreneurship Theory and Practice, , vol. 4(1), pages 10-21, July.
    16. Hasan, Iftekhar & Marton, Katherin, 2003. "Development and efficiency of the banking sector in a transitional economy: Hungarian experience," Journal of Banking & Finance, Elsevier, vol. 27(12), pages 2249-2271, December.
    17. Situm Mario, 2014. "Inability of Gearing-Ratio as Predictor for Early Warning Systems," Business Systems Research, Sciendo, vol. 5(2), pages 23-45, September.
    18. Philosophov, Leonid V. & Philosophov, Vladimir L., 2002. "Corporate bankruptcy prognosis: An attempt at a combined prediction of the bankruptcy event and time interval of its occurrence," International Review of Financial Analysis, Elsevier, vol. 11(3), pages 375-406.
    19. Nicoleta Barbuta-Misu, 2012. "Aggregated Index for Modelling the Influence of Financial Variables on Enterprise Performance," EuroEconomica, Danubius University of Galati, issue 2(31), pages 155-165, May.
    20. Gintare Giriūniene & Lukas Giriūnas & Mangirdas Morkunas & Laura Brucaite, 2019. "A Comparison on Leading Methodologies for Bankruptcy Prediction: The Case of the Construction Sector in Lithuania," Economies, MDPI, vol. 7(3), pages 1-20, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:brc:journl:v:43:y:2019:i:1:p:53-63. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dan MICUDA (email available below). General contact details of provider: http://www.univcb.ro/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.