IDEAS home Printed from https://ideas.repec.org/a/sae/emffin/v11y2012i1p1-36.html
   My bibliography  Save this article

Financial Performance Evaluation

Author

Listed:
  • Kausik Chaudhuri
  • Tirthankar Chowdhury

Abstract

We propose a different methodology to assess the financial performance of banks: Multiple Indicator, Multiple Cause (MIMIC) Variable model. We also consider other existing methodologies in the literature for estimation of bank performance. The result shows that the influence of funds in affecting the performance of banks, which have been considered a latent construct here, has been increasing over the years. The latent performance score of the public-sector banks is always higher than the private-sector banks. The same is obtained even if we use the semi-parametric stochastic frontier model: The public-sector (nationalised) banks perform better than the Indian private banks (domestic) in terms of advancing loans only. We justify the use of MIMIC model as an alternative by comparing rank correlation between the MIMIC and semi-parametric stochastic frontier model. Our results demonstrate that financial market development through deregulation creates a competitive and efficient banking sector. JEL Classification : C58, G21, G28

Suggested Citation

  • Kausik Chaudhuri & Tirthankar Chowdhury, 2012. "Financial Performance Evaluation," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 11(1), pages 1-36, April.
    • Handle: RePEc:sae:emffin:v:11:y:2012:i:1:p:1-36
    DOI: 10.1177/097265271101100101
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/097265271101100101
    Download Restriction: no
    File URL: https://libkey.io/10.1177/097265271101100101?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. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Baumol, William J, 1982. "Contestable Markets: An Uprising in the Theory of Industry Structure," American Economic Review, American Economic Association, vol. 72(1), pages 1-15, March.
    3. Berger, Allen N. & Humphrey, David B., 1991. "The dominance of inefficiencies over scale and product mix economies in banking," Journal of Monetary Economics, Elsevier, vol. 28(1), pages 117-148, August.
    4. Bhattacharyya, Anjana & Bhattacharyya, Arunava & Kumbhakar, Subal C., 1997. "Changes in Economic Regime and Productivity Growth: A Study of Indian Public Sector Banks," Journal of Comparative Economics, Elsevier, vol. 25(2), pages 196-219, October.
    5. Berger, Allen N. & Hunter, William C. & Timme, Stephen G., 1993. "The efficiency of financial institutions: A review and preview of research past, present and future," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 221-249, April.
    6. Robin Burgess & Rohini Pande, 2005. "Do Rural Banks Matter? Evidence from the Indian Social Banking Experiment," American Economic Review, American Economic Association, vol. 95(3), pages 780-795, June.
    7. Bhaumik, Sumon Kumar & Dimova, Ralitza, 2004. "How important is ownership in a market with level playing field?: The Indian banking sector revisited," Journal of Comparative Economics, Elsevier, vol. 32(1), pages 165-180, March.
    8. Adams, Robert M & Berger, Allen N & Sickles, Robin C, 1999. "Semiparametric Approaches to Stochastic Panel Frontiers with Applications in the Banking Industry," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 349-358, July.
    9. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    10. Kumbhakar, Subal C & Sarkar, Subrata, 2003. "Deregulation, Ownership, and Productivity Growth in the Banking Industry: Evidence from India," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(3), pages 403-424, June.
    11. Sensarma, Rudra, 2006. "Are foreign banks always the best? Comparison of state-owned, private and foreign banks in India," Economic Modelling, Elsevier, vol. 23(4), pages 717-735, July.
    12. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    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. repec:hal:spmain:info:hdl:2441/6b7kf1issd8leb93o27ofdm8cu is not listed on IDEAS
    2. repec:spo:wpmain:info:hdl:2441/6b7kf1issd8leb93o27ofdm8cu is not listed on IDEAS
    3. Yusa, Anna & Hynie, Michaela & Mitchell, Scott, 2016. "Utilization of internal evaluation results by community mental health organizations: Credibility in different forms," Evaluation and Program Planning, Elsevier, vol. 54(C), pages 11-18.

    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. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    2. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    3. Rudra Sensarma, 2008. "Deregulation, ownership and profit performance of banks: evidence from India," Applied Financial Economics, Taylor & Francis Journals, vol. 18(19), pages 1581-1595.
    4. Mostak Ahamed, M., 2017. "Asset quality, non-interest income, and bank profitability: Evidence from Indian banks," Economic Modelling, Elsevier, vol. 63(C), pages 1-14.
    5. Jaffry, Shabbar & Ghulam, Yaseen & Cox, Joe, 2013. "Trends in efficiency in response to regulatory reforms: The case of Indian and Pakistani commercial banks," European Journal of Operational Research, Elsevier, vol. 226(1), pages 122-131.
    6. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    7. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.
    8. Barnabé Walheer, 2016. "Multi-Sector Nonparametric Production-Frontier Analysis of the Economic Growth and the Convergence of the European Countries," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 498-524, October.
    9. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    10. Ralston, Deborah & Wright, April & Garden, Kaylee, 2001. "Can mergers ensure the survival of credit unions in the third millennium?," Journal of Banking & Finance, Elsevier, vol. 25(12), pages 2277-2304, December.
    11. Bladimir Proaño‐Rivera & José Manuel Feria‐Dominguez, 2024. "Are Ecuadorian banks enough technically efficient for growth? A clinical study," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2011-2029, April.
    12. Matthews, Kent & Guo, Jianguang & Zhang, Nina & Wang, Lina, 2007. "Bank Efficiency in China, Rent Seeking versus X-inefficiency: A non-parametric Bootstrapping Approach," Cardiff Economics Working Papers E2007/4, Cardiff University, Cardiff Business School, Economics Section, revised Mar 2007.
    13. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
    14. Asish Saha & Nor Hayati Ahmad & Umakant Dash, 2015. "Drivers of technical efficiency in Malaysian banking: a new empirical insight," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 29(1), pages 161-173, May.
    15. 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.
    16. Resti, Andrea, 1997. "Evaluating the cost-efficiency of the Italian Banking System: What can be learned from the joint application of parametric and non-parametric techniques," Journal of Banking & Finance, Elsevier, vol. 21(2), pages 221-250, February.
    17. Sushanta Mallick & Aarti Rughoo & Nickolaos G. Tzeremes & Wei Xu, 2020. "Technological Change and Catching-Up in the Indian Banking Sector: A Time-Dependent Nonparametric Frontier Approach," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 217-237, June.
    18. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    19. Shasha Liu & Robin Sickles, 2021. "The agency problem revisited: a structural analysis of managerial productivity and CEO compensation in large US commercial banks," Empirical Economics, Springer, vol. 60(1), pages 391-418, January.
    20. Syed Fawad Ali Rizvi, 2001. "Post-liberalisation Efficiency and Productivity of the Banking Sector in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 40(4), pages 605-632.

    More about this item

    Keywords

    MIMIC model; semi-parametric stochastic frontier model; deregulation; India;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:sae:emffin:v:11:y:2012:i:1:p:1-36. 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: SAGE Publications (email available below). General contact details of provider: http://www.ifmr.ac.in .

    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.