IDEAS home Printed from https://ideas.repec.org/a/ids/injams/v1y2009i3p217-246.html
   My bibliography  Save this article

Analysing financial services industry using data envelopment analysis

Author

Listed:
  • Rashmi Malhotra
  • D.K. Malhotra
  • C. Andrew Lafond

Abstract

The ongoing credit crisis in the financial markets has led to tremendous turmoil in the financial services industry. As a result, during the last one year, we have seen a substantial decline in the profitability and liquidity of the financial services companies. In this paper, we analyse the financial performance of thirteen leading financial services firms to evaluate their relative standing in the industry. We illustrate the use of data envelopment analysis (DEA), an operations research technique, to evaluate the relative financial strength of thirteen financial services firms by benchmarking the financial ratios of a firm against its peers. DEA clearly brings out the firms that are operating more efficiently in comparison to other firms in the industry, and points out the areas in which poorly performing firms need to improve.

Suggested Citation

  • Rashmi Malhotra & D.K. Malhotra & C. Andrew Lafond, 2009. "Analysing financial services industry using data envelopment analysis," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 1(3), pages 217-246.
    • Handle: RePEc:ids:injams:v:1:y:2009:i:3:p:217-246
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=23703
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Halkos, George & Salamouris, Dimitrios, 2001. "Efficiency Measures of the Greek Banking Sector: A Non-Parametric Approach for the Period 1997-1999," MPRA Paper 2858, University Library of Munich, Germany.
    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. Yang, Xiaopeng & Morita, Hiroshi, 2013. "Efficiency improvement from multiple perspectives: An application to Japanese banking industry," Omega, Elsevier, vol. 41(3), pages 501-509.
    2. Xiaopeng Yang & Hiroshi Morita, 2012. "A DEA model with identical weight assignment based on multiple perspectives," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 4(1), pages 18-35.
    3. Aznar Bellver, Jerónimo & Cervelló Royo, Roberto & García García, Fernando, 2011. "Una alternativa multicriterio a la valoración de empresas: aplicación a las Cajas de Ahorro/A Multicriteria Alternative to Companies’ Valuation: Application to a Spanish Savings Bank," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 29, pages 393(16á.)-3, Abril.
    4. Galagedera, Don U.A. & Fukuyama, Hirofumi & Watson, John & Tan, Eric K.M., 2020. "Do mutual fund managers earn their fees? New measures for performance appraisal," European Journal of Operational Research, Elsevier, vol. 287(2), pages 653-667.

    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. E. Nur Ozkan Gunay, 2012. "Risk Incorporation and Efficiency in Emerging Market Banks During the Global Crisis: Evidence from Turkey, 2002-2009," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(S5), pages 91-102, November.
    2. Wei-Kang Wang & Wen-Min Lu & Yu-Han Wang, 2013. "The relationship between bank performance and intellectual capital in East Asia," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 1041-1062, February.
    3. Liu, W.B. & Zhang, D.Q. & Meng, W. & Li, X.X. & Xu, F., 2011. "A study of DEA models without explicit inputs," Omega, Elsevier, vol. 39(5), pages 472-480, October.
    4. Kyuseok Lee & Kyuwan Choi, 2010. "Cross redundancy and sensitivity in DEA models," Journal of Productivity Analysis, Springer, vol. 34(2), pages 151-165, October.
    5. 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.
    6. Sailesh Tanna & Fotios Pasiouras & Matthias Nnadi, 2011. "The Effect of Board Size and Composition on the Efficiency of UK Banks," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 18(3), pages 441-462, November.
    7. F A F Ferreira & S P Santos & P M M Rodrigues, 2011. "Adding value to bank branch performance evaluation using cognitive maps and MCDA: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1320-1333, July.
    8. Hsiao, Hsing-Chin & Chang, Hsihui & Cianci, Anna M. & Huang, Li-Hua, 2010. "First Financial Restructuring and operating efficiency: Evidence from Taiwanese commercial banks," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1461-1471, July.
    9. Siriopoulos, Costas & Tziogkidis, Panagiotis, 2010. "How do Greek banking institutions react after significant events?--A DEA approach," Omega, Elsevier, vol. 38(5), pages 294-308, October.
    10. Lin Lin & Hsien-Chang Kuo & I-Liang Lin, 2008. "Merger and optimal number of firms: an integrated simulation approach," Applied Economics, Taylor & Francis Journals, vol. 40(18), pages 2413-2421.
    11. Yang, Xiaopeng & Morita, Hiroshi, 2013. "Efficiency improvement from multiple perspectives: An application to Japanese banking industry," Omega, Elsevier, vol. 41(3), pages 501-509.
    12. Wang, Wei-Kang & Lu, Wen-Min & Lin, Yi-Ling, 2012. "Does corporate governance play an important role in BHC performance? Evidence from the U.S," Economic Modelling, Elsevier, vol. 29(3), pages 751-760.
    13. Fernando A. F. Ferreira & Sérgio P. Santos & Paulo M. M. Rodrigues & Ronald W. Spahr, 2014. "How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative example," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(4), pages 708-728, September.
    14. Khezrimotlagh, Dariush & Kaffash, Sepideh & Zhu, Joe, 2022. "U.S. airline mergers’ performance and productivity change," Journal of Air Transport Management, Elsevier, vol. 102(C).
    15. Christian Growitsch & Tooraj Jamasb & Christine Müller & Matthias Wissner, 2016. "Social Cost Efficient Service Quality: Integrating Customer Valuation in Incentive Regulation—Evidence from the Case of Norway," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 71-91, Springer.
    16. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, August.
    17. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    18. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    19. repec:lan:wpaper:1115 is not listed on IDEAS
    20. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    21. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, March.

    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:ids:injams:v:1:y:2009:i:3:p:217-246. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=286 .

    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.