The impact of discretionary loan loss provision of sharia financing on financial performance

  • Received August 21, 2019;
    Accepted November 14, 2019;
    Published November 28, 2019
  • Author(s)
  • DOI
  • Article Info
    Volume 14 2019, Issue #4, pp. 34-41
  • Cited by
    1 articles

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

This study aims to investigate the role of discretionary loan loss provision of sharia financing on the Islamic commercial banks’ financial performance in Indonesia. Partial Least Squares-Structural Equation modeling (PLS-SEM) is used to examine the relationship between loan loss provisions and financial performance in 13 Islamic commercial banks for 4.5 years. The analysis of the outer model shows that the probability of default and loss given default are determinants of loan loss provision, while financial performance is determined by return on assets, non-performing financing, net operating margin, and operating costs on operating income. The results of this study indicate that loan loss provisions have a direct effect on financial performance. Further investigation shows that the return on sharia financing contributes to increasing the impact of loan loss provisions on financial performance (indirect influence). The findings contribute to the literature by showing that discretionary loan loss provision can occur in sharia financing. The study is very important in terms of awareness of management behavior related to financial performance. The study has implications for management policies related to the prerequisites of potential clients.

view full abstract hide full abstract
    • Figure 1. Path diagram analysis
    • Table 1. Latent variables and an indicator (manifest)
    • Table 2. Average Variance Extracted (AVE) for latent variables
    • Table 3. The value of the cross loading indicator
    • Table 4. Fornell-Larcker criteria
    • Table 5. Reliability of latent variables
    • Table 6. The goodness of fit test
    • Table 7. Hypothesis test