Research on Index Measurement Model of Early-Warning for Listed Companies in Shipbuilding Industry

2007 ◽  
Vol 10-12 ◽  
pp. 18-22
Author(s):  
X.Z. Wei ◽  
J.M. Wu ◽  
R. Wu
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Composite Index ◽  
Warning System ◽  
Listed Companies ◽  
Measurement Model ◽  
Shipbuilding Industry ◽  
Financial Condition ◽  
Index Measurement ◽  
Individual Index

It is extremely essential to establish financial early-warning system for listed companies in Chinese shipbuilding industry. Taking “Jiangnan Shipyard (Group) Co., Ltd” of shipbuilding industry as an example, this paper testifies the validity of index measurement model of financial early-warning, monitors its recent financial condition based on individual index and composite index, and then analyzes the financial alarm degree.

The Research on Long-Term Financial Early-Warning System of Listed Companies

2013 ◽  
Vol 670 ◽  
pp. 216-221 ◽  
Author(s):  
Wei Ming Mou ◽  
Shui Bin Gu
Keyword(s):  
Financial Crisis ◽  
Early Warning ◽  
Early Warning System ◽  
Stock Exchange ◽  
Warning System ◽  
Listed Companies ◽  
Special Treatment ◽  
Warning Model ◽  
First Time

The article takes listed companies as research samples. Firstly, it selects 36 ST or *ST companies listed in Shanghai and Shenzhen Stock Exchange Market, who received special treatment during 2007 to 2009 for the first time and it also chooses another 36 normal companies as paired ones. Then, after using Factor analysis for identifying indexes, the paper go on with utilizing logistic to structure a financial long-term warning model. To verify the effectiveness of the model, the paper selects another 12 financial crisis companies and 12 financial fit companies to test. The results come out to show that establishing an effective long-term financial early-warning system helps enterprises to avoid financial crisis.

scholarly journals ANALISIS POTENSI KESULITAN KEUANGAN PERUSAHAAN MANUFAKTUR MAKANAN DAN MINUMAN DI BURSA EFEK JAKARTA

2008 ◽  
Vol 4 (4) ◽  
Author(s):  
I Made Surya Nurraja
Keyword(s):  
Discriminant Analysis ◽  
Early Warning ◽  
Financial Distress ◽  
Early Warning System ◽  
Significant Contribution ◽  
Warning System ◽  
Preventive Action ◽  
Multiple Discriminant Analysis ◽  
Return On Equity ◽  
Financial Condition

Many companies registred at the Bursa Efek Jakarta technically can’t be maintained anymore. This fact needs to be known earlier by who has concern for it. Therefore, the study produce a model for preventive action as an early warning system which expect can be used together in order to anticipate the financial condition of the companies are getting worse and finally become bankrupt.Using eleven financial rations and Multiple Discriminant Analysis, this study found that there are six financial rations have different between companies have significant contribution (Total Liabilities to Total Assets and Return on Equity)Keywords : Financial rations, Financial distress, Multiple Discriminant Analysis.

scholarly journals Design and Implementation of an Early Warning System Based on the Risk Measurement Model

2021 ◽  
Vol 2031 (1) ◽  
pp. 012063
Author(s):  
Su Feng ◽  
Jing Li ◽  
Huan Wang ◽  
Qi Tang ◽  
Liqiong Liu ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Measurement Model ◽  
Risk Measurement ◽  
Design And Implementation
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