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Title: | Determinants of Non-Performing Loans: Evidence From Conventional Banks in Malaysia | Authors: | Mohamad Zain, Eni Noreni Ghazali, Puspa Liza Wan Daud, Wan Mohd Nazri |
Keywords: | Conventional Banking;Bank-specific;Non-performing Loans;Macroeconomics;Panel Regression Model;Random Effect Model | Issue Date: | 2020 | Publisher: | Gyandhara International Academic Publications | Journal: | Humanities & Social Sciences Reviews | Abstract: | Purpose of the study: This paper attempts to determine the determinants of non-performing loans in commercial banks in Malaysia. This study attempts to explore the specific bank factors as well as macroeconomics factors that are contributing to the non-performing loans. Methodology: This paper analyzes the data using eight local commercial banks in Malaysia. The data collected from the annual report and Data Streams database for the year 2009 to 2018. A panel data approach has been used to analyze the data. All the determinants regressed against non-performing loans by using STATA 14 as a tool. Main Findings: The results of this study present that capitalization had a significant negative relationship with nonperforming loans, while the real effective exchange rate had a significant positive correlation with non-performing loans. Applications of this study: This study highlights the crucial factors of the non-performing loans that can be used by the bank or financial institutions. Novelty/Originality of this study: This study includes one new variable for the macroeconomics factors, which is the real effective exchange rate, and the result shows it is significant towards non-performing loans. Therefore, this study enhances the existing model with the new variable that can be used to find what is affecting the non-performing loans. |
Description: | Others |
URI: | http://hdl.handle.net/123456789/1327 | ISSN: | 2395-6518 | DOI: | https://doi.org/10.18510/hssr.2020.8248 |
Appears in Collections: | Faculty of Entrepreneurship and Business - Other Publication |
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304921996.pdf | HSSSR Eni | 656.73 kB | Adobe PDF | View/Open |
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