IDEAS home Printed from https://ideas.repec.org/a/eut/journl/v18y2013i1p1.html
   My bibliography  Save this article

Effects of Risk Parameters (Credit, Operational, Liquidity and Market Risk) on Banking System Efficiency (Studying 15 Top Banks in Iran)

Author

Listed:
  • Ebrahim Hoseininassab

    (Associate Professor, University of Tarbiat Modares, Department of Economics, Tehran, Iran)

  • Kazem Yavari

    (Associate Professor, University of Tarbiat Modares, Department of Economics, Tehran, Iran)

  • Nader Mehregan

    (Associate Professor, University of Hamedan, Department of Economics, Hamedan, Iran)

  • Reza Khoshsima

    (Ph.D. Student in Economics, University of Tarbiat Modares , Tehran, Iran, (Corresponding Author))

Abstract

This research, recognizing the importance of efficiency and risk as two fundamental important categories in banking industry, seeks to review the effectiveness of two popular models: parametric (SFA) method with economic basis and nonparametric (MEA) method with mathematical optimization basis to evaluate bank efficiency and rank and select an optimal model and also to identify the impact of credit, operational, market and liquidity risks on banking system efficiency. In this regard 15 banks were selected as statistical research community over the last six years (2005-2011). Using average performance provided by the above two methods, banks were ranked with Deap and Frontier software, and then to examine the presence or absence of significant correlation between the rankings provided by these two methods, the Pearson correlation coefficient was used. The results suggest differences in the two methods with regard to performance evaluation and ranking of banks, and show a relative superiority of SFA method, compared to MEA method. In addition, to examine the impact of efficiency on risk, for the four studied risks based on selected indicators, four models were estimated using econometric methods and the ordinary least squares (OLS). The results showed that each of the studied risks and their related indicator and their specific coefficient, significantly affect on efficiency.

Suggested Citation

  • Ebrahim Hoseininassab & Kazem Yavari & Nader Mehregan & Reza Khoshsima, 2013. "Effects of Risk Parameters (Credit, Operational, Liquidity and Market Risk) on Banking System Efficiency (Studying 15 Top Banks in Iran)," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 18(1), pages 1-24, winter.
    • Handle: RePEc:eut:journl:v:18:y:2013:i:1:p:1
    as

    Download full text from publisher

    File URL: ftp://80.66.179.253/eut/journl/20131-1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Beccalli, Elena, 2004. "Cross-country comparisons of efficiency: Evidence from the UK and Italian investment firms," Journal of Banking & Finance, Elsevier, vol. 28(6), pages 1363-1383, June.
    2. 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.
    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. Ramarow, Sirivige, 2017. "The Relationship between Profitability and the Risk Factors and other Macroeconomic Factors," MPRA Paper 78625, University Library of Munich, Germany, revised 19 Apr 2017.
    2. Wong, Kah Wai, 2017. "The performance and risk of Hartalega Holdings Berhad," MPRA Paper 78342, University Library of Munich, Germany.

    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. Heejoon Kang & Michele Fratianni, 2006. "International Trade Efficiency, the Gravity Equation, and the Stochastic Frontier," Working Papers 2006-08, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    2. Fiordelisi, Franco & Molyneux, Phil, 2010. "Total factor productivity and shareholder returns in banking," Omega, Elsevier, vol. 38(5), pages 241-253, October.
    3. San-Jose, Leire & Retolaza, Jose Luis & Torres Pruñonosa, Jose, 2014. "Efficiency in Spanish banking: A multistakeholder approach analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 240-255.
    4. Amir Mansour Tehranchian & Samad Yadollahpour Arabi, 2013. "A Differential Oligopoly Game with Sticky Prices and Environmental Externality," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 18(2), pages 83-106, spring.
    5. Khezrimotlagh, Dariush & Kaffash, Sepideh & Zhu, Joe, 2022. "U.S. airline mergers’ performance and productivity change," Journal of Air Transport Management, Elsevier, vol. 102(C).
    6. 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.
    7. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, April.
    8. 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.
    9. 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.
    10. repec:lan:wpaper:1115 is not listed on IDEAS
    11. 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.
    12. 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.
    13. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    14. Kristiaan Kerstens & Ignace Van de Woestyne, 2018. "Enumeration algorithms for FDH directional distance functions under different returns to scale assumptions," Annals of Operations Research, Springer, vol. 271(2), pages 1067-1078, December.
    15. Bo Li & Muhammad Mohiuddin & Qian Liu, 2019. "Determinants and Differences of Township Hospital Efficiency among Chinese Provinces," IJERPH, MDPI, vol. 16(9), pages 1-16, May.
    16. Ahmad, Usman, 2011. "Financial Reforms and Banking Efficiency: Case of Pakistan," MPRA Paper 34220, University Library of Munich, Germany.
    17. Nijkamp, P. & Stough, R. & Sahin, M., 2009. "Impact of social and human capital on business performance of migrant entrepreneurs - a comparative dutch-us study," Serie Research Memoranda 0017, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    18. Bowlin, W. F., 1995. "A characterization of the financial condition of the United States' aerospace-defense industrial base," Omega, Elsevier, vol. 23(5), pages 539-555, October.
    19. Mika Kortelainen & Timo Kuosmanen, 2007. "Eco-efficiency analysis of consumer durables using absolute shadow prices," Journal of Productivity Analysis, Springer, vol. 28(1), pages 57-69, October.
    20. Ashrafi, Ali & Seow, Hsin-Vonn & Lee, Lai Soon & Lee, Chew Ging, 2013. "The efficiency of the hotel industry in Singapore," Tourism Management, Elsevier, vol. 37(C), pages 31-34.
    21. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.

    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:eut:journl:v:18:y:2013:i:1:p:1. 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: [z.rahimalipour] (email available below). General contact details of provider: https://edirc.repec.org/data/fecutir.html .

    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.