dc.contributor.author	Triyono
dc.contributor.author	Sasongko, Noer
dc.contributor.author	Mardalis, Ahmad
dc.date.accessioned	2013-02-01T05:43:36Z
dc.date.available	2013-02-01T05:43:36Z
dc.date.issued	2009-10
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dc.identifier.uri	http://hdl.handle.net/11617/2647
dc.description.abstract	This paper performs an empirical investigation possibility of financial distress using the manufacture companies listed on the Indonesia Stock Exchange (BEI). The research relies on a sample of 130 financial distress and 419 non financial distress over 2003 - 2007 period, which include a period economy recovery and an economy crisis. The two well-know methods, logistic regression by stepwise and discriminant analysis. The models are found to have high classification power and predictive accuracy, over one years prior to financial distress. In this research logistic regression and discriminant models identify the same variables of significant predictor. The variables identifies NITA, WCTA, and EQTA. Net income/total assets (NITA) is the most important predictor of financial distress in both models. This can serve to make the methods important decision tools for managers and investors. Limitations of this research are contain industry bias and financial statement validity. This research may be extended to eliminate limitation by specific industry (e.g. banking industries).	en_US
dc.description.sponsorship	Dosen Muda 2009	en_US
dc.publisher	lppmums	en_US
dc.subject	financial distress	en_US
dc.subject	financial statement	en_US
dc.subject	discriminant models	en_US
dc.title	PENGEMBANGAN MODEL DETEKSI DINI KESULITAN KEUANGAN PERUSAHAAN (Studi Empiris Perusahaan Manufaktur Go Publik di Bursa Efek Indonesia)	en_US
dc.type	Thesis	en_US

PENGEMBANGAN MODEL DETEKSI DINI KESULITAN KEUANGAN PERUSAHAAN (Studi Empiris Perusahaan Manufaktur Go Publik di Bursa Efek Indonesia)

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