Open AccessJournal Article
Effect of Financial Distress Ratio Banking Company in Indonesia Period 2011-2015
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In this paper, the influence of financial ratios proxied with nonperforming loans (NPLs), Loans to Deposit Ratio (LDR), Operational Costs to Operating Income (BOPO), and Return On Assets (ROA) to financial distress was analyzed.Abstract:
This study aims to analyze the influence of financial ratios proxied with Non Performing Loans (NPLs), Loans to Deposit Ratio (LDR), Operational Costs to Operating Income (BOPO), and Return On Assets (ROA) to financial distress. The data used in this research is obtained from the Annual Publication Financial Report of commercial bank period 2011-2015.The population in this study were 35 commercial banks registered in the Directory of Bank Indonesia in the category of Private Foreign Exchange National Banks. After passing the stage of purposive sampling, obtained 16 (distress). The statistical method used to test the research hypothesis is logistic regression method.results showed that all ratios simultaneously (simultaneously) have an effect on financial distress but partially have no effect. The NPL ratio has no significant positive effect, LDR ratio has no significant positive effect, BOPO ratio has negative effect is not significant and ROA ratio has negative effect is not significant. Keywords: NPL, LDR, BOPO, ROA, Financial Distress, Logistic Regressionread more
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Effects of implementation of International Public Sector Accounting Standards on Nigeria’s financial reporting quality
TL;DR: In this article, the authors examined the effects of the implementation of the International Public Sector Accounting Standards (IPSAS) on Nigeria's financial reporting quality and found that accountability positively and significantly affects the quality of financial reporting in Nigeria.
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Analysis of CAMEL ratio on financial distress banking companies in Indonesia
TL;DR: In this paper , the influence of banking financial ratio on financial distress was investigated. And the analysis method used in this research is logistic regression and is processed using SPSS Statistics 25 software.
References
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TL;DR: In this paper, a sample syllabus is provided to prospective students for the course, which is intended to provide students who are considering taking this course an idea of what they will be learning, and a more detailed syllabus will be available on the course site for enrolled students.
Identifying Financial Distress Condition in Indonesia Manufacture Industry
TL;DR: The main purpose of this research is to identify factors that can make a corporate financial distress condition by analyzing historical data and comparing it to current condition as mentioned in this paper. But, many researchers more like to study bankruptcy rather than financial distress.
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TL;DR: In this article, the first attempt to construct a particular financial distress prediction model for growth enterprises on the Growth Enterprise Markets in Hong Kong and mainland China was made, and two financial distress models were established: one incorporating financial factors and the other incorporating non-financial and macroeconomic factors.