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Does the conventional benchmark prop up non-performing loans in Islamic banks? A case study of Malaysia with ARDL Approach

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  • Shamsudheen, Shinaj Valangattil
  • Masih, Mansur

Abstract

Non-performing loan rate is one of the most significant issues for the banks to survive. The key motivation of this study is the profound statement that “Islamic banks are free from interest rates” and it is indeed to check the validity of this statement in the area of Non-performing loan rate. The principal objective of this study is to examine the short and long run impact of interest rate (KLIBOR) on Islamic bank’s Nonperforming loan rate. The methodology applied is ‘Auto – Regressive Distributive Lag’ model which has taken care of a major limitation of the conventional cointegrating tests in that they suffer from pre-test biases. Based on the above rigorous methodology, we try to measure both long- and short-run relationships between the interest Rate (KLIBOR) and the non-performing loan by using other controlling variables (loan growth rate unemployment rate, & industrial production index). This study may be considered significantly different from previous studies since to the best of our knowledge, there is no literature available that directly examines the impact of KLIBOR on non-performing loans in Islamic banks. From the detailed theoretical and literature study it is found that most of the theories related to Nonperforming loan rate connected with interest rate are not applicable to Islamic banking. The empirical findings show that the interest rate (KLIBOR) makes impact only in the short run and shows the insignificant impact in the long run. It is also found that there is no effect of crisis in the short and long run on Non-performing loans in this model.

Suggested Citation

  • Shamsudheen, Shinaj Valangattil & Masih, Mansur, 2015. "Does the conventional benchmark prop up non-performing loans in Islamic banks? A case study of Malaysia with ARDL Approach," MPRA Paper 65845, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:65845
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    References listed on IDEAS

    as
    1. Mr. Raphael A Espinoza & Mr. Ananthakrishnan Prasad, 2010. "Nonperforming Loans in the GCC Banking System and their Macroeconomic Effects," IMF Working Papers 2010/224, International Monetary Fund.
    2. Louzis, Dimitrios P. & Vouldis, Angelos T. & Metaxas, Vasilios L., 2012. "Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1012-1027.
    3. Vicente Salas & Jesús Saurina, 2002. "Credit Risk in Two Institutional Regimes: Spanish Commercial and Savings Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 22(3), pages 203-224, December.
    4. Edward S. Knotek, 2007. "How useful is Okun's law?," Economic Review, Federal Reserve Bank of Kansas City, vol. 92(Q IV), pages 73-103.
    5. Ms. Mwanza Nkusu, 2011. "Nonperforming Loans and Macrofinancial Vulnerabilities in Advanced Economies," IMF Working Papers 2011/161, International Monetary Fund.
    6. Bashir, Abdel-Hameed M., 2003. "Determinants Of Profitability In Islamic Banks: Some Evidence From The Middle East," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 11, pages 32-57.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Isaev, Mirolim & Masih, Mansur, 2017. "Macroeconomic and bank-specific determinants of different categories of non-performing financing in Islamic banks: Evidence from Malaysia," MPRA Paper 79719, University Library of Munich, Germany.
    2. Rahman, Syarifah & Masih, Mansur, 2018. "The vulnerability of Islamic bank’s credit risk to oil price shocks: evidence from Malaysia based on ARDL approach," MPRA Paper 106776, University Library of Munich, Germany.

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    More about this item

    Keywords

    Non performing loans; interest rate (KLIBOR); Islamic banks; ARDL; Malaysia;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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