A study on turnaround predictors for financially distressed firms based on publicly-listed firms in Singapore.
There are many bankruptcy prediction models being developed over the last four decades. These models, however, are susceptible to a relatively high proportion of Type II errors, which means misclassifying a firm as a potential bankruptcy candidate. The failure to correctly identify potential turnaro...
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2011
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sg-ntu-dr.10356-439272023-05-19T05:44:57Z A study on turnaround predictors for financially distressed firms based on publicly-listed firms in Singapore. Yap, Zee Seng. Huang, Zhaoyuan. Chaw, James Jian Xian. Ho Kim Wai Nanyang Business School SGX-listed Firms DRNTU::Business::Finance::Risk management There are many bankruptcy prediction models being developed over the last four decades. These models, however, are susceptible to a relatively high proportion of Type II errors, which means misclassifying a firm as a potential bankruptcy candidate. The failure to correctly identify potential turnaround firms could incur avoidable losses as a result of firms not being able to attain the funding or loans necessary to enact a recovery. Therefore, the aim of this research study is to examine different predictors for corporate turnaround. A model will then be developed which could help to identify those financially distressed firms that have recovery or turnaround potential in the Singapore context.Based on the financial data of 703 publicly-listed firms on the Singapore Stock Exchange (SGX), we investigated the relationship between the likelihood of corporate turnaround in Singapore and six other predictive variables. BUSINESS 2011-05-16T01:15:40Z 2011-05-16T01:15:40Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/43927 en Nanyang Technological University 51 p. + 1 spreadsheet application/pdf text/xml |
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DRNTU::Business::Finance::Risk management Yap, Zee Seng. Huang, Zhaoyuan. Chaw, James Jian Xian. A study on turnaround predictors for financially distressed firms based on publicly-listed firms in Singapore. |
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There are many bankruptcy prediction models being developed over the last four decades. These models, however, are susceptible to a relatively high proportion of Type II errors, which means misclassifying a firm as a potential bankruptcy candidate. The failure to correctly identify potential turnaround firms could incur avoidable losses as a result of firms not being able to attain the funding or loans necessary to enact a recovery.
Therefore, the aim of this research study is to examine different predictors for corporate turnaround. A model will then be developed which could help to identify those financially distressed firms that have recovery or turnaround potential in the Singapore context.Based on the financial data of 703 publicly-listed firms on the Singapore Stock Exchange (SGX), we investigated the relationship between the likelihood of corporate turnaround in Singapore and six other predictive variables. |
author2 |
Ho Kim Wai |
author_facet |
Ho Kim Wai Yap, Zee Seng. Huang, Zhaoyuan. Chaw, James Jian Xian. |
format |
Final Year Project |
author |
Yap, Zee Seng. Huang, Zhaoyuan. Chaw, James Jian Xian. |
author_sort |
Yap, Zee Seng. |
title |
A study on turnaround predictors for financially distressed firms based on publicly-listed firms in Singapore. |
title_short |
A study on turnaround predictors for financially distressed firms based on publicly-listed firms in Singapore. |
title_full |
A study on turnaround predictors for financially distressed firms based on publicly-listed firms in Singapore. |
title_fullStr |
A study on turnaround predictors for financially distressed firms based on publicly-listed firms in Singapore. |
title_full_unstemmed |
A study on turnaround predictors for financially distressed firms based on publicly-listed firms in Singapore. |
title_sort |
study on turnaround predictors for financially distressed firms based on publicly-listed firms in singapore. |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/43927 |
_version_ |
1770564253193863168 |