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Predicting efficiency in Malaysian Islamic banks: A two-stage TOPSIS and neural networks approach

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  • Wanke, Peter
  • Azad, M.D. Abul Kalam
  • Barros, C.P.

Abstract

This paper presents an efficiency assessment of the Malaysian Islamic banks using TOPSIS. In this research, this technique is applied first in a two-stage approach to assess the relative efficiency of Malaysian Islamic banks using the most frequent indicators found in the banking literature. Besides, in the second stage, neural networks are combined with TOPSIS results as part of an attempt to produce a model for banking performance with effective predictive ability. The results reveal that variables related to cost structure have a prominent negative impact on efficiency levels, although some parsimony in equity leveraging derived from Islamic finance principles maybe helpful in achieving higher efficiency levels. Findings also indicate that the Malaysian Islamic banking market also imposes cultural and regulatory barriers to foreign banks, so that their efficiency levels are lower when compared to their national counterparts. Learning curves (trend impact) are relevant in predicting efficiency levels.

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  • Wanke, Peter & Azad, M.D. Abul Kalam & Barros, C.P., 2016. "Predicting efficiency in Malaysian Islamic banks: A two-stage TOPSIS and neural networks approach," Research in International Business and Finance, Elsevier, vol. 36(C), pages 485-498.
    • Handle: RePEc:eee:riibaf:v:36:y:2016:i:c:p:485-498
    DOI: 10.1016/j.ribaf.2015.10.002
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    1. Mansor, F. & Bhatti, M.I. & Ariff, M., 2015. "New evidence on the impact of fees on mutual fund performance of two types of funds," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 102-115.
    2. Abdou, Hussein A. & Pointon, John & El-Masry, Ahmed & Olugbode, Moji & Lister, Roger J., 2012. "A variable impact neural network analysis of dividend policies and share prices of transportation and related companies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 796-813.
    3. Dewandaru, Ginanjar & Bacha, Obiyathulla Ismath & Masih, A. Mansur M. & Masih, Rumi, 2015. "Risk-return characteristics of Islamic equity indices: Multi-timescales analysis," Journal of Multinational Financial Management, Elsevier, vol. 29(C), pages 115-138.
    4. Betz, Frank & Oprică, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2014. "Predicting distress in European banks," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 225-241.
    5. Khediri, Karim Ben & Charfeddine, Lanouar & Youssef, Slah Ben, 2015. "Islamic versus conventional banks in the GCC countries: A comparative study using classification techniques," Research in International Business and Finance, Elsevier, vol. 33(C), pages 75-98.
    6. Ajmi, Ahdi Noomen & Hammoudeh, Shawkat & Nguyen, Duc Khuong & Sarafrazi, Soodabeh, 2014. "How strong are the causal relationships between Islamic stock markets and conventional financial systems? Evidence from linear and nonlinear tests," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 213-227.
    7. Joseph C. Paradi & Zijiang Yang & Haiyan Zhu, 2011. "Assessing Bank and Bank Branch Performance," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 315-361, Springer.
    8. Sufian, Fadzlan & Mohamad, A.M Noor & Muhamed-Zulkhibri, Abdul Majid, 2008. "The Efficiency of Islamic Banks: Empirical Evidence from the MENA and Asian Countries Islamic Banking Sectors," MPRA Paper 19072, University Library of Munich, Germany.
    9. Kenjegalieva, Karligash A. & Simper, Richard, 2011. "A productivity analysis of Central and Eastern European banking taking into account risk decomposition and environmental variables," Research in International Business and Finance, Elsevier, vol. 25(1), pages 26-38, January.
    10. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, July-Dece.
    11. Maghyereh, Aktham I. & Awartani, Basel, 2012. "Financial integration of GCC banking markets: A non-parametric bootstrap DEA estimation approach," Research in International Business and Finance, Elsevier, vol. 26(2), pages 181-195.
    12. Azad, A.S.M. Sohel & Yasushi, Suzuki & Fang, Victor & Ahsan, Amirul, 2014. "Impact of policy changes on the efficiency and returns-to-scale of Japanese financial institutions: An evaluation," Research in International Business and Finance, Elsevier, vol. 32(C), pages 159-171.
    13. Bilbao-Terol, Amelia & Arenas-Parra, Mar & Cañal-Fernández, Verónica & Antomil-Ibias, José, 2014. "Using TOPSIS for assessing the sustainability of government bond funds," Omega, Elsevier, vol. 49(C), pages 1-17.
    14. Basov, Suren & Bhatti, M. Ishaq, 2014. "On Sharia’a-compliance, positive assortative matching, and return to investment banking," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 30(C), pages 191-195.
    15. Carlos P. Barros & Qi Bin Liang & Nicolas Peypoch, 2014. "Technical Efficiency in the Angolan Banking Sector with the B-convexity Model," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 443-454, September.
    16. Sufian, Fadzlan, 2009. "Determinants of bank efficiency during unstable macroeconomic environment: Empirical evidence from Malaysia," Research in International Business and Finance, Elsevier, vol. 23(1), pages 54-77, January.
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