PREDICTION OF FINANCIAL DISTRESS CONDITIONS ON MANUFACTURING COMPANIES LISTED IN INDONESIAN STOCK EXCHANGE
Abstract
When a company experiences financial problems that drag on, it will cause failure. This research is to find out whether financial ratios (current assets, return on assets, total assets turnover, debt to total assets) can predict financial distress in mining companies listed on the Indonesian derivatives exchange. Also are there differences in performance between companies developing. This study uses 17 samples that meet the criteria. The analysis method used is discriminant and Anova analysis. The results obtained that all variables can predict financial distress, but only return on asset variables that can form discriminant functions in predicting financial distress in mining companies. On the other hand, the performance of the mining company is significantly different in the ratio of return on assets.References
Agusti, Chalendra Association. 2013, Analysis of Factors Affecting the Possibility of Financial Distress. Skirpsi, Diponegoro University, Semarang.
Almilia, SL, and Kristijadi. 2003, Financial Ratio Analysis to Predict the Condition of Financial Distress Manufacturing Companies Registered on the Jakarta Stock Exchange. JAAO VOL 7 NO. 2, December, STIE Perbanas, Surabaya.
Budiarti, Estri Age. 2010. Financial Ratio Analysis in Predicting Financial Distress Conditions in Service and Manufacturing Companies. Essay. Gunadarma University Jakarta.
Dimyati, Muhaimin. 1998. Financial Ratio Analysis of Private Banks that Go Public and Government Banks. Thesis. Airlangga University, Surabaya.
Fahmi, Irham. 2014. Financial Performance Analysis, Publisher: Alfabeta, Jakarta. Harmono. 2009. Financial Management Based on Balanced Scorecard: Theory, Case Approach and Business Research. 1st edition. 1st print. Jakarta: Bumi Aksara.
Kasmir. 2016. Analysis of Financial Statements. 9th print. Jakarta: PT. Raja Grafindo Persada.
Kusumawardana, Furqon Reno. 2013. Financial Ratio Analysis to Predict Financial Distress (Study on the LQ45 Index Listed on the IDX 2009-2011 Period). Essay. Brawijaya University.
Margaretha, Farah. 2007. Financial Management for the Service Industry. Jakarta: PT. Grasindo.
Maymi, Reva S. 2012. Financial Ratio Analysis to Predict the Financial Distress Conditions of Manufacturing Companies Registered on the Indonesia Stock Exchange. Essay. University of Jember.
Muhyiddin, T.Nurlina, Tarmizi, Irfan M., and Yulianita Anna. 2017. Economic and Social Research Methodology, Publisher: Salemba Empat, Jakarta.
Mulyawan, Faithful. 2015. Financial Management. 1st print. Bandung: Faithful Library.
Salina, Mavianis. 2016. Financial Ratio Analysis to Predict Financial Distress in Manufacturing Companies Listed on the Indonesia Stock Exchange, Thesis. STIE Mandala Jember.
Widhiari Ayu, MLN, and Merkusiwati Aryani, LKN 2015. The Influence of Liquidity, Leverage, Operating Capacity and Sales Growth Ratios of Financial Distress. E-Journal Accounting. Udayana University.