Kinerja Keuangan untuk Memprediksi Kondisi Financial Distress pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Periode 2014-2018
Daftar Isi:
- Financial distress is a condition in which a company is in financial difficulties for several years, so it cannot meat its debts both term and long term and fails in carrying out the company’s operational activities. This study aims to determine how the influence of financial performance (liquidity (CR), profitability (ROA), leverage (DAR), and activity (TATO)) in predicting financial distress conditions in manufacturing companies in the Indonesai Stock Exchange 2014-2018. The sample data in this study were 100 manufacturing companies, of which 45 companies had a negative OperatingProfit and 55 companies that had a positive Operating Profit. The number of observational data in this study were 400 observational data. The sampling method used in this study was purposive sampling. The analysis technique in this study uses logistic regression analysis and descriptive analysis and data processing using SPSS. The results of this study indicate that profitability (ROA ), Activity (TATO) can used to predict the financial of manufacturing companies and have a significant influence and liquidity (CR) and laverage (DAR) cannot be used in predicting financial distress conditions.