PREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN MANUFAKTUR INDONESIA(STUDI EMPIRIS PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2015 – 2017)
Daftar Isi:
- This study examines the financial distress prediction by using model Altman ZScore. This method uses the ratios Net Working Capital to Total Assets, the Retained Earnings to Total Assets, Earning Before Interest and Tax to Total Assets, Book Value of Equity to Total Liabilities, and the Sales to Total Assets in order to predict the risk of bankruptcy of a company. The population in this research is the manufacturing company listed on the Indonesia stock exchange. Method of sampling used is purposive sampling. The sample in this study is 15 manufacturing company listed on the Indonesia stock exchange in 2015 up to the year 2017. Methods of analysis in this study is by doing the calculations using the method of Altman Z-Score. According to the calculations that have been made, there are 8 companies experiencing financial distress, 5 companies included in the category grey area, and 2 companies having non-distress. The limitations of the study are that financial distress prediction models have been widely developed, but this study only uses the Altman Z Score model as a predictor. Future research should compare more predictive models, such as the Zmijewski model, Ohlson model, Springate, Groover, Fulmer, Ca-Score, so at the results of the study really are able to answer predictions of financial distress.