Predicting bank credit risk: evidence from financial industries / Nurhafizah Muktar

This study examine the relationship between the key factors affecting credit risk toward bank credit risk and identify the effect of the internal factor of the bank towards the banks credit risk. The dependent variable of this study is banks credit risk and independent variables are size of the bank...

Full description

Saved in:
Bibliographic Details
Main Author: Muktar, Nurhafizah
Format: Student Project
Language:English
Published: 2016
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/82926/1/82926.pdf
https://ir.uitm.edu.my/id/eprint/82926/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.82926
record_format eprints
spelling my.uitm.ir.829262023-08-24T06:15:49Z https://ir.uitm.edu.my/id/eprint/82926/ Predicting bank credit risk: evidence from financial industries / Nurhafizah Muktar Muktar, Nurhafizah Credit. Debt. Loans This study examine the relationship between the key factors affecting credit risk toward bank credit risk and identify the effect of the internal factor of the bank towards the banks credit risk. The dependent variable of this study is banks credit risk and independent variables are size of the bank (LNTA), leverage (LEV), management efficiency (MGT), regulatory capital (REGCAP), loan loss provision (LNLLP) and loan to deposit ratio (LD). The sample of the study consists of Malaysian top 5 largest banks by total asset. The period covered from 2000 until 2014. This study used quantitative secondary data which is panel data and multiple regression models represented by the ordinary least squares (OLS) as the technique to look the relationship and the effect of the independent variables toward dependent variable. The results from the study reveal that size of the bank, management efficiency and regulatory capital is negatively related to banks credit risk. While leverage, loan loss provision and loan to deposit is positively related to banks credit risk. All the independent variables are significantly affect the banks credit risk where banks credit risk is affected by the size of the bank, leverage, management efficiency, regulatory capital, loan loss provision and loan to deposits. 2016 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/82926/1/82926.pdf Predicting bank credit risk: evidence from financial industries / Nurhafizah Muktar. (2016) [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Credit. Debt. Loans
spellingShingle Credit. Debt. Loans
Muktar, Nurhafizah
Predicting bank credit risk: evidence from financial industries / Nurhafizah Muktar
description This study examine the relationship between the key factors affecting credit risk toward bank credit risk and identify the effect of the internal factor of the bank towards the banks credit risk. The dependent variable of this study is banks credit risk and independent variables are size of the bank (LNTA), leverage (LEV), management efficiency (MGT), regulatory capital (REGCAP), loan loss provision (LNLLP) and loan to deposit ratio (LD). The sample of the study consists of Malaysian top 5 largest banks by total asset. The period covered from 2000 until 2014. This study used quantitative secondary data which is panel data and multiple regression models represented by the ordinary least squares (OLS) as the technique to look the relationship and the effect of the independent variables toward dependent variable. The results from the study reveal that size of the bank, management efficiency and regulatory capital is negatively related to banks credit risk. While leverage, loan loss provision and loan to deposit is positively related to banks credit risk. All the independent variables are significantly affect the banks credit risk where banks credit risk is affected by the size of the bank, leverage, management efficiency, regulatory capital, loan loss provision and loan to deposits.
format Student Project
author Muktar, Nurhafizah
author_facet Muktar, Nurhafizah
author_sort Muktar, Nurhafizah
title Predicting bank credit risk: evidence from financial industries / Nurhafizah Muktar
title_short Predicting bank credit risk: evidence from financial industries / Nurhafizah Muktar
title_full Predicting bank credit risk: evidence from financial industries / Nurhafizah Muktar
title_fullStr Predicting bank credit risk: evidence from financial industries / Nurhafizah Muktar
title_full_unstemmed Predicting bank credit risk: evidence from financial industries / Nurhafizah Muktar
title_sort predicting bank credit risk: evidence from financial industries / nurhafizah muktar
publishDate 2016
url https://ir.uitm.edu.my/id/eprint/82926/1/82926.pdf
https://ir.uitm.edu.my/id/eprint/82926/
_version_ 1775626490358005760
score 13.214268