Determinants of the Credit Quality Decision on Retail Consumer

Suwinto Johan

Abstract


The aim of this study was to study the retail customers’ 4C (character, capacity, collateral, and capital) that affected credit quality on finance companies. This study focused on the financing of used motorcycles from 2013-2014 with the position of balanced of book per December 2015. This study used artificial intelligence concept with scoring system. The dependent variable was the customer credit quality that was overdue 90 days, and the independent variables were character, capacity, collateral and capital of the customers. This study took samples of 67,500 customers using logistic regression test model. The empirical results showed that 4C had a significant effect on credit quality. There were 12 out of 13 variables that showed significant influence namely sex, age, length of stay, home ownership, marital status, employment status, cost ratio, motor guarantee brand, ownership status, down payment, and tenor. This significance was tested with a 5 percent confidence level. Income did not have significant effect.

 


Keywords


Credit Quality; Consumer Behavior; Financing Institution; Retail Consumer; 4C Analysis

References


Andriani, Y., Mezulianti, U., & Hanum, H. (2012). Model tingkat kelancaran pembayaran kredit bank menggunakan model regresi logistik ordinal (Studi kasus: Bank Rakyat Indonesia Tbk unit Pasar Bintuhan). Jurnal Gradien, 8(2), 809-814.

Asosiasi Perusahaan Pembiayaan Indonesia. (2010). Modul training asosiasi perusahaan pembiayaan Indonesia.

Aryani, Y. (2016). Bank specific and macroeconomic determinants of non performing financing in islamic banking Indonesia. Tesis. Sekolah Pascasarjana Institut Pertanian Bogor.

Bank Indonesia. (2013). Surat edaran Bank Indonesia No. 15 tentang penilaian kualitas aset bank umum.

Bee, W. P., Ismail, N. H., & Simon, F. (2011). Predicting car purchase intent using data mining approach. Eight international conference on fuzzy systems and knowledge management.

Blanco, A., Pino-Mejías, R., Lara, J., & Rayo, S. (2013). Credit scoring models for the microfinance industry using neural networks: Evidence from Peru. Expert Systems with Applications, 40, 356-364.

Darussalam, O. (2013). Faktor-faktor penyebab kredit bermasalah di PT. Bank Sulut cabang utama Manado. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis, dan Akuntansi, 1(4), 69-77.

DeVaney S. A., & Lytton, R. H. (1995). Household insolvency: A review of household debt repayment, delinquency, and bankruptcy. Financial Services Review, 4(2), 137-156.

Limsombunchai, V., Gan, C., & Lee, M. (2005). An analysis of credit scoring for agricultural loans in Thailand. American Journal of Applied Science, 2(8), 1198-1205.

Menteri Keuangan. (2006). Peraturan Menteri Keuangan No. 84 tentang perusahaan pembiayaan.

Otoritas Jasa Keuangan. (2014a). Peraturan Otoritas Jasa Keuangan nomor 29/POJK.05/2014 tentang penyelengaraan usaha perusahaan pembiayaan.

Otoritas Jasa Keuangan. (2014b). Peraturan Otoritas Jasa Keuangan nomor 30/POJK.05/2014 tentang penyelengaraan usaha perusahaan pembiayaan.

Rokhim, R. & Yanti, M. I. S. M. (2014). Risiko NPL kredit Bank Pembangunan Daerah sebagai regional champion. Jurnal Keuangan dan Perbankan, 18(1), 120–129.

Ronny, F. (2016). Analisis faktor-faktor yang mempengaruhi kualitas kredit pada perusahaan pembiayaan PT. XYZ Finance. Tesis. Universitas Tarumanagara.

Samti, A. M. (2011). Faktor-faktor yang mempengaruhi pengembalian kredit bermasalah oleh debitur gerai kredit verena Bogor. Skripsi. Fakultas Ekonomi dan Manajemen Institut Pertanian Bogor.

Sutanto, H. A., & Hamdani, M. (2016). Determinan kredit perorangan (personal loan) (Studi kasus pada nasabah personal loan PT. Bank Jateng). Media Ekonomi dan Manajemen, 31(1), 69-76.

Usman, B., Kamaludin, K., & Darmansyah. (2015). Determinan Non Performing Loan (NPL) pada industri perbankan (Bukti empiris perusahaan go publik di Bursa Efek Indonesia). Jurnal Aplikasi Manajemen (JAM), 13(4), 547-556.


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