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Banking Efficiency and Stock Market Performance: An Analysis of Listed Indonesian Banks

Author

Listed:
  • Muliaman D. Hadad

    (Bank Indonesia, Jakarta, Indonesia)

  • Maximilian J. B. Hall

    (Dept of Economics, Loughborough University)

  • Wimboh Santoso

    (Bank Indonesia, Jakarta, Indonesia)

  • Ricky Satria

    (Bank Indonesia, Jakarta, Indonesia)

  • Karligash Kenjegalieva

    (Dept of Economics, Loughborough University)

  • Richard Simper

    (Dept of Economics, Loughborough University)

Abstract

This paper examines the monthly efficiency and productivity of listed Indonesian banks and their market performance through the prism of two modelling techniques, efficiency and super-efficiency, over the period January 2006 to July 2007. Within this research strategy we employ Tone’s (2001) non-parametric, Slacks-Based Model (SBM) and Tone’s (2002) super-efficiency SBM combining them with recent bootstrapping techniques, namely the non-parametric truncated regression analysis suggested by Simar and Wilson (2007). In the case of the SBM efficiency scores, the Simar and Wilson methodology was adapted to two truncations, whereas in the super-efficiency framework the original technique was utilised. As suggested by neo-classical theory, we find that the stock market values banks in accordance with their performance. Moreover, it is found that the JCI index of the Indonesian Stock Exchange is positively related to bank efficiency. Another interesting finding is that the coefficient for the share of foreign ownership is negative and statistically significant in the super-efficiency modelling. This suggests that Indonesian banks with foreign ownership tend to be less efficient than their domestic counterparts. Finally, Malmquist productivity results suggest that, over the study’s horizon, the sample banks displayed volatile productivity patterns in their profit-generating operations.

Suggested Citation

  • Muliaman D. Hadad & Maximilian J. B. Hall & Wimboh Santoso & Ricky Satria & Karligash Kenjegalieva & Richard Simper, 2008. "Banking Efficiency and Stock Market Performance: An Analysis of Listed Indonesian Banks," Discussion Paper Series 2008_07, Department of Economics, Loughborough University, revised Aug 2008.
  • Handle: RePEc:lbo:lbowps:2008_07
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    Cited by:

    1. Dipasha Sharma, 2018. "Stock Market Performance and Efficiency of Banks in a Developing Economy: Evidence from the Indian Banking Sector," IIM Kozhikode Society & Management Review, , vol. 7(2), pages 178-193, July.
    2. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    3. Martin Boďa & Emília Zimková, 2017. "Malmquist index analysis of the recent development of the Slovak banking sector from two different angles," Economic Change and Restructuring, Springer, vol. 50(2), pages 95-131, May.
    4. Natalya Zelenyuk & Valentin Zelenyuk, 2015. "Productivity Drivers of Efficiency in Banking: Importance of Model Specifications," CEPA Working Papers Series WP082015, School of Economics, University of Queensland, Australia.
    5. Shailesh Rastogi & Rajani Gupte & R. Meenakshi, 2021. "A Holistic Perspective on Bank Performance Using Regulation, Profitability, and Risk-Taking with a View on Ownership Concentration," JRFM, MDPI, vol. 14(3), pages 1-22, March.
    6. Arturo Haro-de-Rosario & Mª del Caba-Pérez & Leonardo Cazorla-Papis, 2014. "Efficiency of venture capital firms: evidence from Spain," Small Business Economics, Springer, vol. 43(1), pages 229-243, June.
    7. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.
    8. Negar Jalilian & Seyed Mahmoud Zanjirchi & Alireza Naser Sadrabadi & Ahmadreza Asgharpourmasouleh & Mark Goh, 2021. "Agent-Based Approach to Configure Processes in Iran’s Banking Service Supply Chain," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    9. Anachit Bagntasarian & Emmanuel Mamatzakis, 2019. "Testing for the underlying dynamics of bank capital buffer and performance nexus," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 347-380, February.
    10. Mamatzakis, Emmanuel & Bagntasarian, Anna, 2019. "The nexus between underlying dynamics of bank capital buffer and performance," MPRA Paper 92961, University Library of Munich, Germany.
    11. Yi-Cheng Liu & Ying-Hsiu Chen, 2012. "A Meta-frontier Approach for Comparing Bank Efficiency Differences between Indonesia, Malaysia and Thailand," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 2(6), pages 1-10.
    12. Abreu, Emmanuel Sousa de & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2019. "What is going on with studies on banking efficiency?," Research in International Business and Finance, Elsevier, vol. 47(C), pages 195-219.
    13. Gandjar Mustika & Enny Suryatinc & Maximilian Hall & Richard Simper, 2015. "Did Bank Indonesia cause the credit crunch of 2006–2008?," Review of Quantitative Finance and Accounting, Springer, vol. 44(2), pages 269-298, February.
    14. Muliaman D. Hadad & Maximilian J. B. Hall & Wimboh Santoso & Ricky Satria & Karligash Kenjegalieva & Richard Simper, 2008. "Efficiency and Malmquist Indices of Productivity Change in Indonesian Banking," Discussion Paper Series 2008_08, Department of Economics, Loughborough University, revised Aug 2008.
    15. Shaban, Mohamed & James, Gregory A., 2018. "The effects of ownership change on bank performance and risk exposure: Evidence from indonesia," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 483-497.
    16. George E. Halkos & Roman Matousek & Nickolaos G. Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    17. Hasanul Banna & Syed Karim Bux Shah & Abu Hanifa Md Noman & Rubi Ahmad & Muhammad Mehedi Masud, 2019. "Determinants of Sino-ASEAN Banking Efficiency: How Do Countries Differ?," Economies, MDPI, vol. 7(1), pages 1-23, February.
    18. Ngo, Thanh & Trinh, Hai Hong & Haouas, Ilham & Ullah, Subhan, 2022. "Examining the bidirectional nexus between financial development and green growth: International evidence through the roles of human capital and education expenditure," Resources Policy, Elsevier, vol. 79(C).

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    More about this item

    Keywords

    Indonesian Banking; Emerging Markets; Productivity; Efficiency.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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