Do Islamic banks bear displaced commercial risk? Evidence from Indonesia

  • Received October 7, 2021;
    Accepted June 30, 2022;
    Published September 13, 2022
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  • Article Info
    Volume 17 2022, Issue #3, pp. 102-115
  • Cited by
    3 articles

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This work is licensed under a Creative Commons Attribution 4.0 International License

The market share of Islamic commercial banks in Indonesia is small despite the fact that Indonesia is a predominantly Muslim country. This paper investigates the asymmetric effect of the deposit rate of conventional banks on Islamic bank deposits in Indonesia applying a dual banking system. This study employs the Non-linear ARDL (NARDL), using monthly data and covering 2009:M1–2019:M7. The findings clearly confirm the long-run relationship between the Islamic deposit and conventional deposit rate for any maturity. Furthermore, the impact of conventional bank deposit rate is asymmetry on Islamic bank deposit for any maturity, implying that Islamic bank deposits react differently to up and down in conventional bank deposit rates, but it tends to weaken for longer maturity. More interestingly, based on asymmetric results, Islamic bank deposits adjust at a higher speed to an increase in conventional deposit rates compared to a rise in the Islamic deposit rates. The results imply that Islamic bank depositors may transfer their funds to conventional bank deposits as conventional bank deposit rates rise in a dual banking environment known as displaced commercial risk (DCR).

This work was funded by the Centre for Economic Studies, Department of Economics, Faculty of Business and Economics, Universitas Islam Indonesia, Yogyakarta, Indonesia under Grant Number: 164.a/Dir.PPE/VI/2020.

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    • Figure 1. Dynamic multipliers, 1-month maturity
    • Figure 2. Dynamic multipliers, 3-month maturity
    • Figure 3. Dynamic multipliers, 6-month maturity
    • Figure 4. Dynamic multipliers, 12-month maturity
    • Table 1. Financing and deposits of Islamic commercial banks
    • Table 2. Descriptive statistics
    • Table 3. Unit root test
    • Table 4. NARDL estimation
    • Table 5. Wald test for Long-Run Asymmetric test
    • Table 6. Long-run coefficient
    • Conceptualization
      Agus Widarjono, Suharto, Diana Wijayanti
    • Formal Analysis
      Agus Widarjono, Diana Wijayanti
    • Investigation
      Agus Widarjono, Suharto
    • Methodology
      Agus Widarjono
    • Software
      Agus Widarjono
    • Supervision
      Agus Widarjono
    • Writing – original draft
      Agus Widarjono
    • Writing – review & editing
      Agus Widarjono
    • Data curation
      Suharto, Diana Wijayanti
    • Funding acquisition
      Suharto, Diana Wijayanti
    • Project administration
      Suharto, Diana Wijayanti
    • Resources
      Suharto, Diana Wijayanti
    • Validation
      Suharto, Diana Wijayanti
    • Visualization
      Suharto, Diana Wijayanti