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The subjects of the study are listed petrochemical companies in China. We regard ST as a symbol of financial crisis for an enterprise. T-test and relevant linear test are applied to determine the model variables and Logistic regression to build the forecasting model of financial crisis, then the data of ST enterprise samples and non-ST enterprise samples are used for analysis. With the forecasting...
As the rapid development of Internet technology, the influence to the financial fields of the financial information on the Web has become increasingly can not be ignored. Facing mass unstructured Web text about financial information, the paper present a method to calculate the tendency of text, and analysis the relationship between the emotional tendencies of Web financial information and the financial...
This paper uses listed companies as research object, selects 102 2006–2008 ST companies and 102 paired normal companies as an analysis sample, the other 40 selected in 2009 as a test sample. Logistic Regression is used to constructed Early warning model, the results show that: The model that contains the three indicators — a return on assets, asset-liability ratio and total asset turnover is able...
Based on Fisher's Linear Discriminant Analysis, the paper proposed an early warning model to predict the bankruptcy possibility for construction companies in China. Sample and variable set of the study came from 56 privately owned Chinese construction companies and their financial ratios, and 27 companies' crisis occurred during the period 2008–2009. Kolmogorov-Smirnov test was used to examine the...
Based up on accounting information of the listed companies on China's A-Share Market, this article attempts to establish a financial crisis early-warning model which is capable of predicting company financial crisis while analyzing the causation of such crisis by adopting a distance discriminant analysis. Compared with the previous research concerned, the said model comprises the following: integrity...
This paper takes the listed SME of which total stock issue is less than four hundred million in Shanghai and Shenzhen main board stock market of manufacturing industry as research object, selects 40 Special Treatment (ST) Enterprises and 40 Non- Special Treatment (Non- ST) Enterprises as samples, screens out the variable which has marked influence on financial crisis by T Test and factor analysis,...
In order to investigate the global financial crisis's impact on logistics industry quantitatively, this paper selects 10 logistics listed companies respectively from China and US stock market as samples, calculates the default distances of the companies based on KMV model which is first proposed by US KMV company, analyzes the trend of credit risk change from the third quarter of 2008 to the third...
The global financial crisis, triggered by the U.S. subprime mortgage in 2007, has seriously affected the development of China's economy, making a large number of Chinese export-oriented enterprises faced with serious problems, such as profit decline, layoffs and even bankruptcy. This paper is set under the background of this global financial crisis and aiming at extracting implicit risk factors of...
SVM based model is constructed for predicting performances of Chinese listed companies. The paper firstly uses factor analysis, equal value difference test and correlation test to sieve the financial indicators and corporate governance variables separately for representative variables, and then uses the method of support vector machine for an empirical analysis. The research shows the model of SVM...
To overcome the shortages of the existing financial prediction models such as strict hypothesis, poor generalization ability, low prediction accuracy and low learning rate etc., a new early warning model of financial crisis have established for listed company using Extreme Learning Machine. From five dimensions of solvency, operating-ability, profitability, cash-ability and grow-ability, fifteen financial...
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