Analysis Of Factors To Predict Financial Distress

Abstract

This research aims to determine the factors that can be used to predict the financial distress potential in the Construction Sector of State-Owned Enterprises by using multiple discriminant analysis. For this study, financial statements of all Construction Sector of State-Owned Enterprises from 2009 to 2017 were used. The research results show that from 21 (twenty one) variables, only debt to equity, return to asset, operating cash flow to net wealth and receivable turnover that can be used to predict the financial distress potential at the Construction Sector of State-Owned Enterprises. There are positive effects from Debt to Equity and Receivable Turnover, as well as negative effects from Return to Assets and Cash Flow Operating to Net Wealth to the financial distress.