TAILIEUCHUNG - Factors affecting the non-performing loans in Indonesia

The purpose of this study is to analyze the factors influencing non-performing loans in companies listed on the Indonesian Stock Exchange Banking sector. All banks in Indonesia carefully review their Non-Performing Loans. According to the Central Bank regulations, the non-performing loan is at a maximum of 5%. | Factors affecting the non-performing loans in Indonesia Accounting 6 2020 97 106 Contents lists available at GrowingScience Accounting homepage ac Factors affecting the non-performing loans in Indonesia Metya Kartikasarya Frihardina Marsintaulia Erla Serlawatia and Sebastianus Laurensa aAccounting Department Binus Online Learning Binus University Indonesia CHRONICLE ABSTRACT Article history The purpose of this study is to analyze the factors influencing non-performing loans in companies listed on the Received October 30 2019 Indonesian Stock Exchange Banking sector. All banks in Indonesia carefully review their Non-Performing Loans. Received in revised format According to the Central Bank regulations the non-performing loan is at a maximum of 5 . Exceed the percentage November 25 2019 there will be one of the indications that the bank is experiencing difficulties and could potentially endanger business Accepted November 30 2019 continuity. The researchers use the micro-economic and several macro-economic variables to predict the Available online influencing factors toward the non-performing loan. Microeconomic variables studied are the ratio of bank capital December 11 2019 to assets CAP the loans to deposits LTD ratio the return to assets ROA ratio and the ratio of return to equity Keywords ROE . Macroeconomic variables are the ratio of public sector debt to gross domestic product DEBT the surplus Non Performing Loan or deficit of the government budget to gross domestic product FISCAL ratio the percentage increase in gross Financial Ratio domestic product GDP annual inflation rate INFL and percentage of job seeker level UNEMP . Researchers Macroeconomic Variables used some regression methods to analyze the results and the samples taken by researchers were companies listed Microeconomic Variables in the banking sector during the period 2014-2017 and macroeconomic data in Indonesia during that year. 2020 by the authors licensee .

• Kế toán - Kiểm toán
• Non performing loans
• Indonesian Stock Exchange Banking sector
• Loans to deposits
• Return to assets
• Gross domestic product
• Nonperforming loans
• Dynamic panel data
• GMM model
• Dynamic panel data methods
• Vietnam’s commercial banks
• Economics and business
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• Commercial banks credit risk
• The directional output distance function
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• Technical efficiency
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