FACTORS PREDICTING CREDIT RISK : A STUDY FOCUSES ON COMMERCIAL BANKS IN MALAYSIA / REGINA KU YEE TING.
Material type: TextPublication details: Kuala Lumpur : Asia Pacific University, 2020Description: 164 pages : illustrations ; 30 cmSubject(s): Banks and banking -- Malaysia | Banks and banking -- Risk assessment | Predictive analyticsLOC classification: PG-24-0143Dissertation note: A project submitted in partial fulfillment of the requirements of Asia Pacific University of Technology and Innovation for the degree of B.A. (Hons) in Accounting and Finance (UC3F1906AF). Summary: The main purpose of this study is to investigate the credit risk management practices among commercial banks in Malaysia. The study covers the factors predicting credit risk. There are four variables that can be used to manage or predict credit risk which are client appraisal, credit control tools, credit monitoring and compliance with the regulation. Data are collected through a primary source by distributing questionnaires to the credit staffs in credit departments of 28 commercial banks in Malaysia with a random sampling method. The targeted respondents are 114 and 112 has collected at the end. The relationship between the variables is analyzed by using descriptive analysis, multiple regression and Pearson’s correlations through the Statistical Package of the Social Sciences (SPSS). The findings outlined that the variables have a significant and positive relationship with credit risk among commercial banks in Malaysia.Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Reference | APU Library Reference Collection | Undergraduate Theses | PG-24-0143 (Browse shelf (Opens below)) | 1 | Not for loan (Restricted access) | 00018586 |
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A project submitted in partial fulfillment of the requirements of Asia Pacific University of Technology and Innovation for the degree of B.A. (Hons) in Accounting and Finance (UC3F1906AF).
The main purpose of this study is to investigate the credit risk management practices among commercial banks in Malaysia. The study covers the factors predicting credit risk. There are four variables that can be used to manage or predict credit risk which are client appraisal, credit control tools, credit monitoring and compliance with the regulation. Data are collected through a primary source by distributing questionnaires to the credit staffs in credit departments of 28 commercial banks in Malaysia with a random sampling method. The targeted respondents are 114 and 112 has collected at the end. The relationship between the variables is analyzed by using descriptive analysis, multiple regression and Pearson’s correlations through the Statistical Package of the Social Sciences (SPSS). The findings outlined that the variables have a significant and positive relationship with credit risk among commercial banks in Malaysia.
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