THE IMPACT OF BANK-SPECIFIC FACTORS ON NON-PERFORMING LOAN IN INDONESIA: EVIDENCE FROM ARDL MODEL APPROACH

  • Lexy Janzen Sinay Department of Mathematics, Faculty Mathematics and Sciences, Pattimura University http://orcid.org/0000-0001-6311-8354
  • Sanlly J Latupeirissa Department of Mathematics, Faculty Mathematics and Sciences, Pattimura University
  • Shelma M Pelu Department of Mathematics, Faculty Mathematics and Sciences, Pattimura University
  • Meilin I Tilukay Department of Mathematics, Faculty Mathematics and Sciences, Pattimura University
DOI: https://doi.org/10.30598/barekengvol16iss2pp675-686
Keywords: NPL, CAR, ROA, BOPO, ARDL, Commercial Bank

Abstract

Non-performing Loan (NPL) is an indicator that is generally used to determine the ability of bank management to manage non-performing loans. This study aims to analyze the impact of bank-specific factors on NPL. The bank-specific factors are Capital Adequacy Ratio (CAR), Return on Assets (ROA), Operating Expenses on Operating Income (BOPO), and Loan to Deposit Ratio (LDR). The data used is monthly time series data, a case study on Commercial Banks in Indonesia from January 2015 to August 2020. The model used to analyze these problems is Autoregressive Distributed Lag (ARDL). The results obtained are ARDL(1,6,0,1,1) model is the best model. The model shows that bank-specific factors have a direct impact on NPL. Specifically, the ARDL bounds test offers the analysis results, which show that the ability of bank-specific factors to explain the NPL of commercial banks in Indonesia is 84%. At the same time, 16% are other factors outside the model. The analysis results show a long-run cointegration relationship between NPL and specific characteristics, CAR, ROA, and BOPO. Then, only CAR, BOPO, and LDR impact NPL in the short-run relationship. The equilibrium correction obtained is significant and confirms a long-run relationship. The equilibrium correction indicates a high velocity towards stability after a shock. It means that the performance of Commercial Banks in Indonesia is outstanding during the COVID-19 Pandemic because the ability to recover from shock is relatively faster

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Author Biography

Lexy Janzen Sinay, Department of Mathematics, Faculty Mathematics and Sciences, Pattimura University

Department of Mathematics, Pattimura University

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Google Scholar: https://scholar.google.co.id/citations?user=e89sDe0AAAAJ&hl=id

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References

OJK, "Bank Umum," Otoritas Jasa Keuangan, 2017. [Online]. Available: https://www.ojk.go.id/id/kanal/perbankan/ pages/Bank-Umum.aspx. [Accessed 1 Mar 2022].

R. Setiawan and E. N. F. Purwienanti, "Faktor Makro, Faktor Spesifik Bank dan Non Performing Loan Pada Bank di Indonesia," Jurnal Tepak Manajemen Bisnis, vol. 11, no. 1, pp. 87-97, 2019.

S. H. Boahene, J. Dasah, and S. K. Agyei, "Credit risk and profitability of selected banks in Ghana," Research Journal of Finance and Accounting, vol. 3, no. 7, pp. 6-14, 2012.

G. Fainstein and I. Novikov, "The comparative analysis of credit risk determinants in the banking sector of the Baltic States," Review of Economics & Finance, vol. 1, no. 3, p. 20–45, 2011.

E. Nikolaidou and S. D. Vogiazas, "Credit risk determinants in Sub-Saharan banking systems: Evidence from five countries and lessons learned from Central East and Southeast European countries," Review of Development Finance, vol. 7, no. 1, pp. 52-63, 2017.

T. Kliestik and J. Cúg, "Comparison of Selected Models of Credit Risk," Procedia Economics and Finance, vol. 23, pp. 356-361, 2015.

S. D. Vogiazas, Determinants of credit risk in the Bulgarian and the Romanian Banking Systems and the role of the Greek crisis, Sheffield: Thesis Doctoral: Department of Economics of Sheffield University, 2015.

F. Baholli, I. Dika and G. Xhabija, "Analysis of Factors that Influence Non-Performing Loans with Econometric Model: Albanian Case," Mediterranean Journal of Social Sciences, vol. 6, no. 1, pp. 391-398, 2015.

K. I. Nikolopoulos and T. A. I, "Non-performing Loans: A Review of the Literature and the International Experience," in Non-Performing Loans and Resolving Private Sector Insolvency, Palgrave Macmillan, 2017, pp. 47-68.

R. De Haas, B. Markovic, and A. Plekhanov, "Reducing Non-Performing Loans in Europe," European Economy, vol. 1, pp. 125-136, 2017.

D. Louizis, A. Vouldis, and V. Metaxas, "Macroeconomic and bank-specific determinants on non-performing loans in Greece: a comparative study of mortgage, business and consumer loan portfolios," Journal of Banking & Finance, vol. 36, pp. 1012-1027, 2012.

R. Olivares-Caminal and A. Miglionico, "Non-performing Loans: Challenges and Options for Banks and Corporations," in Non-Performing Loans and Resolving Private Sector Insolvency, Palgrave Macmillan, 2017, pp. 17-45.

A. Boudriga, N. B. Taktak, and S. Jellouli, "Banking Supervision and Nonperforming Loans: A Cross-Country Analysis," Journal of Financial Economic Policy, vol. 1, no. 4, pp. 286-318, 2009.

J. P. S. Sheefeni, "Evaluating the Impact of Bank Specific Determinants of Non-Performing Loans in Namibia," Journal of Emerging Issues in Economics, Finance, and Banking, vol. 4, no. 2, pp. 1525-1541, 2015.

M. A. Rahman, M. Asaduzzaman and M. S. Hossin, "Impact of Financial Ratios on Non-Performing Loans of Publicly Traded Commercial Banks in Bangladesh," International Journal of Financial Research, vol. 8, no. 1, pp. 181-188, 2017.

E. C. Kusuma and A. M. Haryanto, "Analisis Pengaruh Variabel Kinerja Bank (CAR, ROA, BOPO dan LDR), serta Pertumbuhan Kredit dan Kualitas Kredit terhadap Non Performing Loan (NPL)," Diponegoro Journal of Management, vol. 5, no. 4, pp. 1-13, 2016.

F. Isnaini, Sahara and T. Nursyamsiah, " Faktor-faktor yang Memengaruhi Tingkat Non Performing Financing dan Non Performing Loan pada Dual Banking System di Indonesia," AL-MUZARA’AH , vol. 7, no. 1, pp. 47-59, 2019.

H. Fajar and Umanto, "The impact of macroeconomic and bank-specific factors toward non-performing loan: evidence from Indonesian public banks," Banks and Bank Systems, vol. 12, no. 1, pp. 67-74, 2017.

A. D. A. Palupi and F. Azmi, "Faktor-Faktor yang mempengaruhi Non Performing Loan pada Perbankan Di Indonesia," INDICATORS: Journal of Economics and Business, vol. 1, no. 2, pp. 119-130, 2019.

A. L. Putri and F. X. Sugiyanto, "Analysis of Non Performing Loans in Indonesian Banking (Case Study on MSMES 2017Q1 – 2019Q4)," Journal of Economic Development and Social Research, vol. 1, no. 1, pp. 51-63, 2021.

M. H. Pesaran and Y. Shin, "An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis," in Econometrics and Economic Theory in the 20th Century the Ragnar Frisch Centennial Symposium, In: Strom, S., Ed., Cambridge, Cambridge University Press, 1999, pp. 371-413.

M. H. Pesaran, Y. Shin, and R. Smith, "Bounds Testing Approaches to the Analysis of Level Relationships," Journal of Applied Econometrics, vol. 16, pp. 289-326, 2001.

OJK, "Statistik Perbankan Indonesia," Otoritas Jasa Keuangan, 2021. [Online]. Available: https://www.ojk.go.id/id/kanal/ perbankan/data-dan-statistik/statistik-perbankan-indonesia/default.aspx. [Accessed 2022].

Published
2022-06-01
How to Cite
[1]
L. Sinay, S. Latupeirissa, S. Pelu, and M. Tilukay, “THE IMPACT OF BANK-SPECIFIC FACTORS ON NON-PERFORMING LOAN IN INDONESIA: EVIDENCE FROM ARDL MODEL APPROACH”, BAREKENG: J. Math. & App., vol. 16, no. 2, pp. 675-686, Jun. 2022.
Issue
Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Section
Articles

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