Financial Distress Prediction on Agricultural Sector Companies in Indonesia Stock Exchange

Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/97685

Title:	Financial Distress Prediction on Agricultural Sector Companies in Indonesia Stock Exchange
Authors:	SEPTANINGTIYAS, Intan Eka UTAMI, Elok Sri SUMANI, Sumani
Keywords:	Financial Distress Financial Ratios Macroeconomic Variables Logisitic Regression
Issue Date:	1-Jan-2020
Publisher:	INTERNATIONAL JOURNAL OF RESEARCH SCIENCE & MANAGEMENT, 7(1): January, 2020
Abstract:	This study aims to prediction of financial distress in the agricultural sector companies in Indonesia used logistic regression analysis. The data used secondary data from resume financial report of companies at Indonesia Stock Exchange period of 2009-2018. The independent variable in this study are financial ratios and macroeconomic indicators. The independent variables in this study are financial ratios and macroeconomic indicators. Financial ratios consist of DER, CR, CLTA, ROA, ROE, NPM, TATO and WCTA, while the macroeconomic indicators used interest rate and exchange rate sensitivity. Financial distress status is used as the dependent variable. Independent variable such as ROA and WCTA significantly can be used in prediction model with accuration rate of 89,91%. The model also can be used as early warning signal of financial distress in the agricultural sector companies in Indonesia.
URI:	http://repository.unej.ac.id/handle/123456789/97685
Appears in Collections:	LSP-Jurnal Ilmiah Dosen

Files in This Item:

File	Description	Size	Format
F. EB_Jurnal_Elok Sri Utami_Financial Distress Prediction On Agricultural Sector.pdf		805.94 kB	Adobe PDF	View/Open

DSpace JSPUI