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Forecasting a stalled Industrial Corporations Iraqi using financial ratios ((Proposed model))

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    • Firas Kh. Al-zubaidi
,
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Abstract

This study aims to reach a better set of financial ratios that can be used to predict Tumble Corporations Iraqi industrial early in order to intervene and take appropriate corrective action in a timely manner and to achieve that was awarded a 22 percent financial sample of 5 companies stuttering and 5 companies is stalled for a period of years (2005-2010) after it has been using linear discriminatory analysis linear Discriminate Analysis to reach the best set of financial ratios that can be used in the formulation of the model that helps to distinguish between distressed companies of non-performing companies has been reached that (6 ) with financial help in achieving the objective of the study was built the following form:
0,367X18- 0,165 X22- 0,223 X15+ 0,462X3+X1 0,515+X14 0,689=Y
Also were selected resolution form in predicting Tumble of the Iraqi industrial companies contributing years of tripping rate has been in the prediction accuracy of the model 100%.

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AL-Qadisiyah Journal  For Administrative and Economic sciences
Volume 14, Issue 4
December 2013
Pages 189-201
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How to cite
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Statistics
  • Article View: 242
  • PDF Download: 71

APA

Kh. Al-zubaidi, F. (2013). Forecasting a stalled Industrial Corporations Iraqi using financial ratios ((Proposed model)). AL-Qadisiyah Journal For Administrative and Economic sciences, 14(4), 189-201.

MLA

Firas Kh. Al-zubaidi. "Forecasting a stalled Industrial Corporations Iraqi using financial ratios ((Proposed model))". AL-Qadisiyah Journal For Administrative and Economic sciences, 14, 4, 2013, 189-201.

HARVARD

Kh. Al-zubaidi, F. (2013). 'Forecasting a stalled Industrial Corporations Iraqi using financial ratios ((Proposed model))', AL-Qadisiyah Journal For Administrative and Economic sciences, 14(4), pp. 189-201.

VANCOUVER

Kh. Al-zubaidi, F. Forecasting a stalled Industrial Corporations Iraqi using financial ratios ((Proposed model)). AL-Qadisiyah Journal For Administrative and Economic sciences, 2013; 14(4): 189-201.

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