IDEAS home Printed from https://ideas.repec.org/a/abk/jajeba/ajebasp.2013.84.88.html
   My bibliography  Save this article

Evaluating the Performance of Libyan Banks Using Return on Investment

Author

Listed:
  • Khalad M.S. Alrafadi
  • Mazila Md-Yusuf

Abstract

Return on Investment (ROI) is a financial ratio which commonly used to evaluate the overall performance of a company. Despite of the importance of ROI unfortunately not many Libyan banks use it to evaluate their performance. Most of Libyan banks use the result of income statements to evaluate their performance instead of other tools that use to evaluate performance of banks. This study will be focusing on the ROI. The objective of this research is to evaluate the performance of Libyan banks using ROI as a financial tool. The Libyan banks which involved in this research are: Alwahda bank, National Commercial bank, Commercial and Development bank, Mediterranean bank and Alejmaa Alarabi bank. In this research financial statements of the Libyan banks for period from 2005-2009 will be used to calculate the ROI. In general, the results of the ROI of the banks used in this research showed increase and then begin to decrease and then increase again. The results clearly indicate that the performance of Libyan banks is not stable depending on components of ROI.

Suggested Citation

  • Khalad M.S. Alrafadi & Mazila Md-Yusuf, 2014. "Evaluating the Performance of Libyan Banks Using Return on Investment," American Journal of Economics and Business Administration, Science Publications, vol. 5(2), pages 84-88, January.
    • Handle: RePEc:abk:jajeba:ajebasp.2013.84.88
    DOI: 10.3844/ajebasp.2013.84.88
    as

    Download full text from publisher

    File URL: https://thescipub.com/pdf/ajebasp.2013.84.88.pdf
    Download Restriction: no
    File URL: https://thescipub.com/abstract/ajebasp.2013.84.88
    Download Restriction: no
    File URL: https://libkey.io/10.3844/ajebasp.2013.84.88?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Miller, Stephen M. & Noulas, Athanasios G., 1996. "The technical efficiency of large bank production," Journal of Banking & Finance, Elsevier, vol. 20(3), pages 495-509, April.
    2. Sufian, Fadzlan, 2009. "Determinants of bank efficiency during unstable macroeconomic environment: Empirical evidence from Malaysia," Research in International Business and Finance, Elsevier, vol. 23(1), pages 54-77, January.
    3. Isik, Ihsan & Hassan, M. Kabir, 2002. "Technical, scale and allocative efficiencies of Turkish banking industry," Journal of Banking & Finance, Elsevier, vol. 26(4), pages 719-766, April.
    4. Ariff, Mohamed & Can, Luc, 2008. "Cost and profit efficiency of Chinese banks: A non-parametric analysis," China Economic Review, Elsevier, vol. 19(2), pages 260-273, June.
    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. Sambracos, Evangelos & Maniati, Marina, 2015. "Technical Efficiency of Shipping Banks: A DEA Approach," MPRA Paper 63131, University Library of Munich, Germany.
    2. Isik, Ihsan & Uygur, Ozge, 2021. "Financial crises, bank efficiency and survival: Theory, literature and emerging market evidence," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 952-987.
    3. Fadzlan Sufian & Muzafar Shah Habibullah, 2010. "Bank-specific, Industry-specific and Macroeconomic Determinants of Bank Efficiency," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(4), pages 427-461, November.
    4. Asma Mghaieth & Imen Khanchel El Mehdi, 2014. "The determinants of cost/profit efficiency of Islamic banks before, during and after the crisis of 2007," Working Papers 2014-107, Department of Research, Ipag Business School.
    5. Fadzlan Sufian, 2012. "For which option is credit risk more representative on China banks' total factor productivity," China Finance Review International, Emerald Group Publishing Limited, vol. 2(2), pages 180-202, April.
    6. Samir Srairi, 2010. "Cost and profit efficiency of conventional and Islamic banks in GCC countries," Journal of Productivity Analysis, Springer, vol. 34(1), pages 45-62, August.
    7. Ihsen Abid & Mohamed Goaied & Mouldi Ben Ammar, 2019. "Conventional and Islamic Banks’ Performance in the Gulf Cooperation Council Countries; Efficiency and Determinants," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 623-665, September.
    8. Tabak, Benjamin M. & Langsch Tecles, Patricia, 2010. "Estimating a Bayesian stochastic frontier for the Indian banking system," International Journal of Production Economics, Elsevier, vol. 125(1), pages 96-110, May.
    9. Md. Asif Nawaz, 2021. "Impact of Specialization, Ownership Structure, and Size on Cost and Profit Efficiency of US Commercial and Savings Banks," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(3), pages 1-4.
    10. Imad Bou-Hamad & Abdel Latef Anouze & Denis Larocque, 2017. "An integrated approach of data envelopment analysis and boosted generalized linear mixed models for efficiency assessment," Annals of Operations Research, Springer, vol. 253(1), pages 77-95, June.
    11. Fotios Pasiouras & Aggeliki Liadaki & Constantin Zopounidis, 2008. "Bank efficiency and share performance: evidence from Greece," Applied Financial Economics, Taylor & Francis Journals, vol. 18(14), pages 1121-1130.
    12. Tecles, Patricia Langsch & Tabak, Benjamin M., 2010. "Determinants of bank efficiency: The case of Brazil," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1587-1598, December.
    13. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    14. Li, Yang, 2020. "Analyzing efficiencies of city commercial banks in China: An application of the bootstrapped DEA approach," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    15. Kai Du & Andrew C. Worthington & Valentin Zelenyuk, 2015. "The dynamic relationship between bank asset diversification and efficiency: Evidence from the Chinese banking sector," CEPA Working Papers Series WP122015, School of Economics, University of Queensland, Australia.
    16. Alves, André Bernardo & Wanke, Peter & Antunes, Jorge & Chen, Zhongfei, 2020. "Endogenous network efficiency, macroeconomy, and competition: Evidence from the Portuguese banking industry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    17. Staub, Roberta B. & da Silva e Souza, Geraldo & Tabak, Benjamin M., 2010. "Evolution of bank efficiency in Brazil: A DEA approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 204-213, April.
    18. Sufian, Fadzlan & Abdul Majid, Muhamed Zulkhibri, 2007. "Consolidation and efficiency: Evidence from non-bank financial institutions in Malaysia," MPRA Paper 12128, University Library of Munich, Germany, revised 01 May 2007.
    19. Fadzlan Sufian & Muhamed Zulkhibri Abdul Majid, 2009. "Bank efficiency and share prices in China: empirical evidence from a three-stage banking model," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 1(1), pages 23-47.
    20. Worthington, Andrew C. & Zelenyuk, Valentin, 2018. "Data envelopment analysis, truncated regression and double-bootstrap for panel data with application to Chinese bankingAuthor-Name: Du, Kai," European Journal of Operational Research, Elsevier, vol. 265(2), pages 748-764.

    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:abk:jajeba:ajebasp.2013.84.88. 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: Jeffery Daniels (email available below). General contact details of provider: https://thescipub.com .

    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.