IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v57y2006i4d10.1057_palgrave.jors.2601985.html
   My bibliography  Save this article

Measuring bank operations performance: an approach based on Grey Relation Analysis

Author

Listed:
  • Chien-Ta Ho

    (Institute of Electronic Commerce, National Chung Hsing University)

Abstract

The aim of this paper is to use a new approach of performance evaluation, Grey Relation Analysis (GRA), which is a concept borrowed from the study of industry and increasingly applied to commerce. GRA is used to evaluate the relative performance of three investment Taiwanese trust firms, which have been reorganized into banks. The result of the study indicates that although the sample size is small and the distribution of data is unknown, GRA can still be successfully used in evaluating bank performance. In addition, this paper compares the GRA results with the Financial Statement Analysis (FSA) and shows that the same result can be obtained.

Suggested Citation

  • Chien-Ta Ho, 2006. "Measuring bank operations performance: an approach based on Grey Relation Analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(4), pages 337-349, April.
  • Handle: RePEc:pal:jorsoc:v:57:y:2006:i:4:d:10.1057_palgrave.jors.2601985
    DOI: 10.1057/palgrave.jors.2601985
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2601985
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/palgrave.jors.2601985?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chien-Ta Ho & Kim Hua Tan, 2004. "Measuring operational efficiency: an approach based on the data envelopment analysis," International Journal of Management and Enterprise Development, Inderscience Enterprises Ltd, vol. 1(2), pages 120-135.
    2. Feng, Cheng-Min & Wang, Rong-Tsu, 2000. "Performance evaluation for airlines including the consideration of financial ratios," Journal of Air Transport Management, Elsevier, vol. 6(3), pages 133-142.
    3. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    4. E H Feroz & S Kim & R L Raab, 2003. "Financial statement analysis: A data envelopment analysis approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(1), pages 48-58, January.
    5. West, Robert Craig, 1985. "A factor-analytic approach to bank condition," Journal of Banking & Finance, Elsevier, vol. 9(2), pages 253-266, June.
    6. Espahbodi, Pouran, 1991. "Identification of problem banks and binary choice models," Journal of Banking & Finance, Elsevier, vol. 15(1), pages 53-71, February.
    7. Coleen C. Pantalone & Marjorie B. Platt, 1987. "Predicting commercial bank failure since deregulation," New England Economic Review, Federal Reserve Bank of Boston, issue Jul, pages 37-47.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiayi Li & Zhiyan Cai & Yixuan Liu & Chengxiu Ling, 2022. "Extremal Analysis of Flooding Risk and Its Catastrophe Bond Pricing," Mathematics, MDPI, vol. 11(1), pages 1-14, December.
    2. Mokhamad Anwar, 2010. "Cost Structure In Indonesian Islamic Banks: (Case on PT. Bank Syariah Mandiri and PT. Bank Syariah Mega Indonesia)," Working Papers in Business, Management and Finance 201008, Department of Management and Business, Padjadjaran University, revised Aug 2010.
    3. Mokhamad Anwar, 2010. "Cost Components as Predictors for the Profitability of sharia Banks : (Study on PT. Bank Syariah Mandiri and PT. Bank Syariah Mega Indonesia)," Working Papers in Business, Management and Finance 201009, Department of Management and Business, Padjadjaran University, revised Sep 2010.
    4. Memić Deni & Škaljić-Memić Selma, 2013. "Performance Analysis and Benchmarking of Commercial Banks Operating in Bosnia and Herzegovina: a DEA Approach," Business Systems Research, Sciendo, vol. 4(2), pages 17-37, December.
    5. Mokhamad Anwar, 2010. "Small Business Financing and Bank Performance : Empirical Study of Indonesian Publicly Banks," Working Papers in Business, Management and Finance 201010, Department of Management and Business, Padjadjaran University, revised Oct 2010.
    6. Chengxiu Ling & Jiayi Li & Yixuan Liu & Zhiyan Cai, 2021. "Extremal Analysis of Flooding Risk and Management," Papers 2112.00562, arXiv.org.
    7. C-T Bruce Ho, 2011. "Measuring dot com efficiency using a combined DEA and GRA approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 776-783, April.

    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. Ioannis E. Tsolas, 2020. "Financial Performance Assessment of Construction Firms by Means of RAM-Based Composite Indicators," Mathematics, MDPI, vol. 8(8), pages 1-16, August.
    2. Christophe Godlewski, 2004. "Modélisation de la Prévision de Défaillance Bancaire Une Application aux Banques des Pays Emergents," Finance 0409026, University Library of Munich, Germany.
    3. Philip Swicegood & Jeffrey A. Clark, 2001. "Off‐site monitoring systems for predicting bank underperformance: a comparison of neural networks, discriminant analysis, and professional human judgment," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 10(3), pages 169-186, September.
    4. Guo, Lin, 1999. "When and why did FSLIC resolve insolvent thrifts?," Journal of Banking & Finance, Elsevier, vol. 23(6), pages 955-990, June.
    5. Christophe Godlewski, 2004. "Modélisation de la Prévision de Défaillance Bancaire et Facteurs Réglementaires Une Application aux Banques des Pays Emergents," Finance 0409027, University Library of Munich, Germany.
    6. Thomas B. King & Daniel A. Nuxoll & Timothy J. Yeager, 2006. "Are the causes of bank distress changing? can researchers keep up?," Review, Federal Reserve Bank of St. Louis, vol. 88(Jan), pages 57-80.
    7. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
    8. Ijaz Hussain, 2013. "Estimating Firms’ Vulnerability to Short-Term Financing Shocks: The Case of Foreign Exchange Companies in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 18(2), pages 147-163, July-Dec.
    9. Daley, J. & Matthews, K. & Whitfield, K., 2008. "Too-big-to-fail: Bank failure and banking policy in Jamaica," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(3), pages 290-303, July.
    10. Andrew Logan, 2001. "The United Kingdom's small banks' crisis of the early 1990s: what were the leading indicators of failure?," Bank of England working papers 139, Bank of England.
    11. Wang, Wei-Kang & Lu, Wen-Min & Kweh, Qian Long & Lai, Hsiao-Wen, 2014. "Does corporate social responsibility influence the corporate performance of the U.S. telecommunications industry?," Telecommunications Policy, Elsevier, vol. 38(7), pages 580-591.
    12. Bruno Ricca & Massimiliano Ferrara & Salvatore Loprevite, 2023. "Searching for an effective accounting-based score of firm performance: a comparative study between different synthesis techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3575-3602, August.
    13. Henebry, Kathleen L., 1996. "Do cash flow variables improve the predictive accuracy of a Cox proportional hazards model for bank failure?," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(3), pages 395-409.
    14. Hahn, G.J. & Brandenburg, M. & Becker, J., 2021. "Valuing supply chain performance within and across manufacturing industries: A DEA-based approach," International Journal of Production Economics, Elsevier, vol. 240(C).
    15. Fiordelisi, Franco & Mare, Davide Salvatore, 2013. "Probability of default and efficiency in cooperative banking," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 30-45.
    16. Mare, Davide Salvatore, 2015. "Contribution of macroeconomic factors to the prediction of small bank failures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 25-39.
    17. Douglas, Ella & Lont, David & Scott, Tom, 2014. "Finance company failure in New Zealand during 2006–2009: Predictable failures?," Journal of Contemporary Accounting and Economics, Elsevier, vol. 10(3), pages 277-295.
    18. Li, Xingchen & Xu, Guangcheng & Wu, Jie & Xu, Chengzhen & Zhu, Qingyuan, 2024. "Evaluation of bank efficiency by considering the uncertainty of nonperforming loans," Omega, Elsevier, vol. 126(C).
    19. Wen-Min Lu & Qian Long Kweh & Chung-Wei Wang, 2021. "Integration and application of rough sets and data envelopment analysis for assessments of the investment trusts industry," Annals of Operations Research, Springer, vol. 296(1), pages 163-194, January.
    20. Hadi Ghafoorian & NikIntan Norhan & Mohammed Ndaliman Abubakar & Fazel Mohammadi Nodeh, 2013. "Efficiency Considering Credit Risk in Banking Industry, Using Two-stage DEA," Journal of Social and Development Sciences, AMH International, vol. 4(8), pages 356-360.

    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:pal:jorsoc:v:57:y:2006:i:4:d:10.1057_palgrave.jors.2601985. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.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.