Prediction of Financial Distress among Companies in Malaysia
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Format: | Final Year Project / Dissertation / Thesis |
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2017
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Online Access: | http://eprints.utar.edu.my/2520/1/BF%2D2017%2D1303144.pdf http://eprints.utar.edu.my/2520/ |
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Institution: | Universiti Tunku Abdul Rahman |
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my-utar-eprints.25202017-08-18T09:27:53Z Prediction of Financial Distress among Companies in Malaysia Shew, Jun Kit Chuang, Gao Yan Lim, Chee Hong Lim, Kah Kit Sia, Hooi Lian HG Finance 2017-04-12 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/2520/1/BF%2D2017%2D1303144.pdf Shew, Jun Kit and Chuang, Gao Yan and Lim, Chee Hong and Lim, Kah Kit and Sia, Hooi Lian (2017) Prediction of Financial Distress among Companies in Malaysia. Final Year Project, UTAR. http://eprints.utar.edu.my/2520/ |
institution |
Universiti Tunku Abdul Rahman |
building |
UTAR Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tunku Abdul Rahman |
content_source |
UTAR Institutional Repository |
url_provider |
http://eprints.utar.edu.my |
topic |
HG Finance |
spellingShingle |
HG Finance Shew, Jun Kit Chuang, Gao Yan Lim, Chee Hong Lim, Kah Kit Sia, Hooi Lian Prediction of Financial Distress among Companies in Malaysia |
format |
Final Year Project / Dissertation / Thesis |
author |
Shew, Jun Kit Chuang, Gao Yan Lim, Chee Hong Lim, Kah Kit Sia, Hooi Lian |
author_facet |
Shew, Jun Kit Chuang, Gao Yan Lim, Chee Hong Lim, Kah Kit Sia, Hooi Lian |
author_sort |
Shew, Jun Kit |
title |
Prediction of Financial Distress among Companies in Malaysia |
title_short |
Prediction of Financial Distress among Companies in Malaysia |
title_full |
Prediction of Financial Distress among Companies in Malaysia |
title_fullStr |
Prediction of Financial Distress among Companies in Malaysia |
title_full_unstemmed |
Prediction of Financial Distress among Companies in Malaysia |
title_sort |
prediction of financial distress among companies in malaysia |
publishDate |
2017 |
url |
http://eprints.utar.edu.my/2520/1/BF%2D2017%2D1303144.pdf http://eprints.utar.edu.my/2520/ |
_version_ |
1646030942039441408 |