In the current era, the market competition is becoming increasingly fierce, complicated and unpredictable. Based on the interaction of various factors, the probability of financial risks of listed companies is significantly improved. Because of its unique characteristics, the listed companies’ operating status affects the overall operation of China’s market economy and occupies a fundamental position in the national economic system. If listed companies have financial risks, it will cause great trauma to our economy. Based on the financial risk evaluation theory of listed companies, this paper analyzes the financial indicators of listed companies through random effect model, and puts forward the risk analysis and prediction index system of l...
Because there are many factors affecting the financial risk of enterprises, it is difficult to asses...
The prediction and control of enterprise financial risk is an important research topic in the financ...
AbstractMost previous research focuses on the problem of financial distress prediction or bankruptcy...
Abstract. In this paper, we use the modern management theory to build a corporate financial risk ear...
The paper aims to propose a new method to state the credit risk characteristics of the regional list...
Keywords:financial risk; neural network model;early warning mechanism Abstract.Establishment and opt...
In the Chinese stock market, the unique special treatment (ST) warning mechanism can signal financia...
Based on the actual situation of China's stock market, this paper proposes a method for measuring th...
Traditional financial crisis prediction approaches have a tough time extracting the properties of fi...
This article uses structural equation modeling (SEM) to analyze and study the factors affecting corp...
Abstract: This study conducts an empirical analysis of corporate financial crisis to develop an earl...
Nowadays, China is faced with increasing downward pressure on its economy, along with an expanding b...
This article first uses a new method of nonlinear combination forecasting based on neural networks t...
AbstractFinancial engineers developed quantitative models that help firms making financial decisions...
Distance to Default is a measure of credit risk based on stock trading data. According to the result...
Because there are many factors affecting the financial risk of enterprises, it is difficult to asses...
The prediction and control of enterprise financial risk is an important research topic in the financ...
AbstractMost previous research focuses on the problem of financial distress prediction or bankruptcy...
Abstract. In this paper, we use the modern management theory to build a corporate financial risk ear...
The paper aims to propose a new method to state the credit risk characteristics of the regional list...
Keywords:financial risk; neural network model;early warning mechanism Abstract.Establishment and opt...
In the Chinese stock market, the unique special treatment (ST) warning mechanism can signal financia...
Based on the actual situation of China's stock market, this paper proposes a method for measuring th...
Traditional financial crisis prediction approaches have a tough time extracting the properties of fi...
This article uses structural equation modeling (SEM) to analyze and study the factors affecting corp...
Abstract: This study conducts an empirical analysis of corporate financial crisis to develop an earl...
Nowadays, China is faced with increasing downward pressure on its economy, along with an expanding b...
This article first uses a new method of nonlinear combination forecasting based on neural networks t...
AbstractFinancial engineers developed quantitative models that help firms making financial decisions...
Distance to Default is a measure of credit risk based on stock trading data. According to the result...
Because there are many factors affecting the financial risk of enterprises, it is difficult to asses...
The prediction and control of enterprise financial risk is an important research topic in the financ...
AbstractMost previous research focuses on the problem of financial distress prediction or bankruptcy...