| dc.contributor.author | SEPTANINGTIYAS, Intan Eka | |
| dc.contributor.author | UTAMI, Elok Sri | |
| dc.contributor.author | SUMANI, Sumani | |
| dc.date.accessioned | 2020-04-03T02:33:51Z | |
| dc.date.available | 2020-04-03T02:33:51Z | |
| dc.date.issued | 2020-01-01 | |
| dc.identifier.uri | http://repository.unej.ac.id/handle/123456789/97685 | |
| dc.description.abstract | This study aims to prediction of financial distress in the agricultural sector companies in Indonesia used logistic
regression analysis. The data used secondary data from resume financial report of companies at Indonesia Stock
Exchange period of 2009-2018. The independent variable in this study are financial ratios and macroeconomic
indicators. The independent variables in this study are financial ratios and macroeconomic indicators. Financial
ratios consist of DER, CR, CLTA, ROA, ROE, NPM, TATO and WCTA, while the macroeconomic indicators
used interest rate and exchange rate sensitivity. Financial distress status is used as the dependent variable.
Independent variable such as ROA and WCTA significantly can be used in prediction model with accuration
rate of 89,91%. The model also can be used as early warning signal of financial distress in the agricultural sector
companies in Indonesia. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | INTERNATIONAL JOURNAL OF RESEARCH SCIENCE & MANAGEMENT, 7(1): January, 2020 | en_US |
| dc.subject | Financial Distress | en_US |
| dc.subject | Financial Ratios | en_US |
| dc.subject | Macroeconomic Variables | en_US |
| dc.subject | Logisitic Regression | en_US |
| dc.title | Financial Distress Prediction on Agricultural Sector Companies in Indonesia Stock Exchange | en_US |
| dc.type | Article | en_US |
| dc.identifier.kodeprodi | KODEPRODI0803102#D3 Administrasi Keuangan | |
| dc.identifier.nidn | NIDN0028126401 | |
| dc.identifier.nidn | NIDN0014016905 | |
