IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/107064.html
   My bibliography  Save this paper

Granger-causality between islamic banks and conventional banks: evidence from Malaysia

Author

Listed:
  • Nor, Amiruddin
  • Masih, Mansur

Abstract

This paper explores the Granger-causal relationship between Islamic banks’ non-performing financing (NPF) and conventional banks’ non-performing loans (NPL) for the banking industry in Malaysia. To further understand these asset quality variables, we added domestic macroeconomic variables namely domestic credit, real lending rate and exchange rate for the period January 2007 to January 2017. All variables are I(1) in nature on the basis Augmented Dicker Fuller (ADF) and Philips-Perron (PP) unit root test. Using time series cointegrating VAR models, coupled with the Long Run Structural Modelling (LRSM), Vector Error Correction Model (VECM) and Variance Decomposition (VDC), the results tend to suggest that NPF leads NPL. Contrary to expectation, the VDC results suggest that NPF and NPL variables are exogenous and endogenous respectively. This unexpected result gave rise to many interesting arguments especially within the Islamic banking perspectives. Apart from providing important insights into the causality between NPF and NPL, our results contribute to the policy implications. Interest rate variable being the most exogenous variable can affect both NPFs and NPLs. The CUSUM and CUSUMSQ tests substantiate the stability of the functions.

Suggested Citation

  • Nor, Amiruddin & Masih, Mansur, 2017. "Granger-causality between islamic banks and conventional banks: evidence from Malaysia," MPRA Paper 107064, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:107064
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/107064/1/MPRA_paper_107064.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Festic, Mejra & Kavkler, Alenka & Repina, Sebastijan, 2011. "The macroeconomic sources of systemic risk in the banking sectors of five new EU member states," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 310-322, February.
    3. Ghosh, Amit, 2015. "Banking-industry specific and regional economic determinants of non-performing loans: Evidence from US states," Journal of Financial Stability, Elsevier, vol. 20(C), pages 93-104.
    4. Philip Lowe & Claudio Borio, 2002. "Asset prices, financial and monetary stability: exploring the nexus," BIS Working Papers 114, Bank for International Settlements.
    5. Roland Beck & Petr Jakubik & Anamaria Piloiu, 2015. "Key Determinants of Non-performing Loans: New Evidence from a Global Sample," Open Economies Review, Springer, vol. 26(3), pages 525-550, July.
    6. Khairul Anuar & Shamsher Mohamad & Mohamed Eskandar Shah, 2014. "Are Deposit and Investment Accounts in Islamic Banks in Malaysia Interest-Free? هل ودائع وحسابات الاستثمار في البنوك الإسلامية في ماليزيا غير قائمة أو خالية من الفائدة ؟," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 27(2), pages 29-58, July.
    7. Mr. Jemma Dridi & Maher Hasan, 2010. "The Effects of the Global Crisison Islamic and Conventional Banks: A Comparative Study," IMF Working Papers 2010/201, International Monetary Fund.
    8. Nir Klein, 2013. "Non-Performing Loans in CESEE: Determinants and Impact on Macroeconomic Performance," IMF Working Papers 2013/072, International Monetary Fund.
    9. Chaibi, Hasna & Ftiti, Zied, 2015. "Credit risk determinants: Evidence from a cross-country study," Research in International Business and Finance, Elsevier, vol. 33(C), pages 1-16.
    Full references (including those not matched with items on IDEAS)

    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. Nor, Amirudin Mohd & Masih, Mansur, 2017. "Do Islamic banks lead or lag conventional banks? Evidence from Malaysia," MPRA Paper 79425, University Library of Munich, Germany.
    2. Ameni Tarchouna & Bilel Jarraya & Abdelfettah Bouri, 2022. "Do board characteristics and ownership structure matter for bank non-performing loans? Empirical evidence from US commercial banks," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 26(2), pages 479-518, June.
    3. Haithem Awijen & Younes Ben Zaied & Ahmed Imran Hunjra, 2023. "Systematic and Unsystematic Determinants of Sectoral Risk Default Interconnectedness," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 561-587, August.
    4. Karadima, Maria & Louri, Helen, 2021. "Determinants of non-performing loans in Greece: the intricate role of fiscal expansion," LSE Research Online Documents on Economics 110741, London School of Economics and Political Science, LSE Library.
    5. Petros Golitsis & Athanasios P. Fassas & Anna Lyutakova, 2019. "Credit Risk Determinants: Evidence from the Bulgarian Banking System," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 41-64.
    6. Laxmi Koju & Ram Koju & Shouyang Wang, 2018. "Does Banking Management Affect Credit Risk? Evidence from the Indian Banking System," IJFS, MDPI, vol. 6(3), pages 1-11, July.
    7. Teodor Hada & Nicoleta Bărbuță-Mișu & Iulia Cristina Iuga & Dorin Wainberg, 2020. "Macroeconomic Determinants of Nonperforming Loans of Romanian Banks," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    8. Florian Manz, 2019. "Determinants of non-performing loans: What do we know? A systematic review and avenues for future research," Management Review Quarterly, Springer, vol. 69(4), pages 351-389, November.
    9. Suarez, Javier & Sánchez Serrano, Antonio, 2018. "Approaching non-performing loans from a macroprudential angle," Report of the Advisory Scientific Committee 7, European Systemic Risk Board.
    10. Isma il Tijjani Idris & Sabri Nayan, 2017. "A Pooled Mean Group Approach to the Joint Effects of Oil Price Changes and Environmental Risks on Non-Performing Loans: Evidence from Organisation of the Petroleum Exporting the Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 345-351.
    11. Brei, Michael & Jacolin, Luc & Noah, Alphonse, 2020. "Credit risk and bank competition in Sub-Saharan Africa," Emerging Markets Review, Elsevier, vol. 44(C).
    12. Mehmet Levent Erdas & Zeynep Ezanoglu, 2022. "How Do Bank-Specific Factors Impact Non-Performing Loans: Evidence from G20 Countries," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 11(2), pages 97-122.
    13. Sascha Tobias Wengerek & Benjamin Hippert & André Uhde, 2019. "Risk allocation through securitization - Evidence from non-performing loans," Working Papers Dissertations 58, Paderborn University, Faculty of Business Administration and Economics.
    14. Anastasiou, Dimitrios, 2017. "Is ex-post credit risk affected by the cycles? The case of Italian banks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 242-248.
    15. Ismail Tijjani Idris & Sabri Nayan, 2016. "The Joint Effects of Oil Price Volatility and Environmental Risks on Non-performing Loans: Evidence from Panel Data of Organization of the Petroleum Exporting Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 522-528.
    16. Gila-Gourgoura, E. & Nikolaidou, E., 2017. "Credit Risk Determinants in the Vulnerable Economies of Europe: Evidence from the Spanish Banking System," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 10(1), pages 60-71, March.
    17. Changjun Zheng & Probir Kumar Bhowmik & Niluthpaul Sarker, 2019. "Industry-Specific and Macroeconomic Determinants of Non-Performing Loans: A Comparative Analysis of ARDL and VECM," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    18. Tarchouna, Ameni & Jarraya, Bilel & Bouri, Abdelfettah, 2017. "How to explain non-performing loans by many corporate governance variables simultaneously? A corporate governance index is built to US commercial banks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 645-657.
    19. Garšvienė Lina & Balčiūnaitė Kristina & Matuzevičiūtė Kristina & Ruplienė Dovilė, 2022. "Assessment of Factors Determining the Level of Private Credit in European Union Countries," Management of Organizations: Systematic Research, Sciendo, vol. 87(1), pages 67-82, June.
    20. Muhammad Waqas & Nudrat Fatima & Aryan Khan & Muhammad Arif, 2017. "Determinants of Non-performing Loans: A Comparative Study of Pakistan, India, and Bangladesh," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 6(1), pages 51-68, January.

    More about this item

    Keywords

    Islamic banks; conventional banks; non-performing financing (NPF); non-performing loans (NPL); Granger-causality; 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
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:pra:mprapa:107064. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.