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Predicting Financial Failure : An Empirical Investigation on Jordanian Industrial and Service Companies

From year to year, strong attention has been paid to the study of the problems of predicting firms’ bankruptcy. Bankruptcy prediction is an essential issue in finance especially in emerging economics. Predicting future financial situations of individual corporate entities is even more significant....

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Main Author: Almansour, Bashar Yaser Mansour
Format: Thesis
Language:English
English
Published: 2009
Subjects:
HG Finance
Online Access:https://etd.uum.edu.my/2120/1/Bashar_Yaser_Mansour.pdf
https://etd.uum.edu.my/2120/2/1.Bashar_Yaser_Mansour.pdf
https://etd.uum.edu.my/2120/
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spelling my.uum.etd.21202022-04-21T03:33:13Z https://etd.uum.edu.my/2120/ Predicting Financial Failure : An Empirical Investigation on Jordanian Industrial and Service Companies Almansour, Bashar Yaser Mansour HG Finance From year to year, strong attention has been paid to the study of the problems of predicting firms’ bankruptcy. Bankruptcy prediction is an essential issue in finance especially in emerging economics. Predicting future financial situations of individual corporate entities is even more significant. Regression analysis is used to develop a prediction model on 22 bankrupt and non-bankrupt Jordanian public listed companies for the period 2000 until 2003. The results show that working capital to total assets, current asset to current liabilities, market value of equity to book value of debt, retained earnings to total asset, and sales to total asset are significant and good indicators of the probability of bankruptcy in Jordan. 2009 Thesis NonPeerReviewed text en https://etd.uum.edu.my/2120/1/Bashar_Yaser_Mansour.pdf text en https://etd.uum.edu.my/2120/2/1.Bashar_Yaser_Mansour.pdf Almansour, Bashar Yaser Mansour (2009) Predicting Financial Failure : An Empirical Investigation on Jordanian Industrial and Service Companies. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
topic HG Finance
spellingShingle HG Finance
Almansour, Bashar Yaser Mansour
Predicting Financial Failure : An Empirical Investigation on Jordanian Industrial and Service Companies
description From year to year, strong attention has been paid to the study of the problems of predicting firms’ bankruptcy. Bankruptcy prediction is an essential issue in finance especially in emerging economics. Predicting future financial situations of individual corporate entities is even more significant. Regression analysis is used to develop a prediction model on 22 bankrupt and non-bankrupt Jordanian public listed companies for the period 2000 until 2003. The results show that working capital to total assets, current asset to current liabilities, market value of equity to book value of debt, retained earnings to total asset, and sales to total asset are significant and good indicators of the probability of bankruptcy in Jordan.
format Thesis
author Almansour, Bashar Yaser Mansour
author_facet Almansour, Bashar Yaser Mansour
author_sort Almansour, Bashar Yaser Mansour
title Predicting Financial Failure : An Empirical Investigation on Jordanian Industrial and Service Companies
title_short Predicting Financial Failure : An Empirical Investigation on Jordanian Industrial and Service Companies
title_full Predicting Financial Failure : An Empirical Investigation on Jordanian Industrial and Service Companies
title_fullStr Predicting Financial Failure : An Empirical Investigation on Jordanian Industrial and Service Companies
title_full_unstemmed Predicting Financial Failure : An Empirical Investigation on Jordanian Industrial and Service Companies
title_sort predicting financial failure : an empirical investigation on jordanian industrial and service companies
publishDate 2009
url https://etd.uum.edu.my/2120/1/Bashar_Yaser_Mansour.pdf
https://etd.uum.edu.my/2120/2/1.Bashar_Yaser_Mansour.pdf
https://etd.uum.edu.my/2120/
_version_ 1731228106374512640
score 13.211869

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