@thesis{thesis,
		author={Octavia Boentoro  Debby},
		title ={CORPORATE FAILURE PREDICTION: A STUDY OF PUBLIC LISTED COMPANIES
IN INDONESIA STOCK EXCHANGE (IDX)},
		year={2015},
		url={http://e-journal.uajy.ac.id/8747/},
		abstract={The main purpose of this research is to develop a model that can predict financial distress amongst public listed companies in Jakarta Stock Exchange from year 2008 until 2013. Author uses 216 companies as sample where 168 for healthy companies and 48 for distress companies. The methodology that use on this paper is using logistic regression analysis. The result proves there are four financial ratios namely: Quick Asset Turnover, Cash Flow to Assets, Total Liabilities Total Assets, and Debt Ratio that have been found to be significant and useful for corporate failure prediction in Jakarta Stock Exchange. The results show that logistic regression analysis is a more reliable technique for predict financially healthy companies than distress companies. But, overall classification results of 81 percent prove that the model can describe the financial condition of the companies.}
		}