In this paper, we identify the components of financial risk in China’s foreign investment, and then construct an index system of the risk. Using annual data from 1994-2008, we set up an early-warning system of financial risk of China’s foreign investment based on the Artificial Neural Network (ANN), which includes five models respectively measuring four aspects of financial risk and overall financial risk. To empirically test the early warning system, we predict the financial risk of China’s foreign investment in 2009 with the early-warning system and compare the result with the real condition. The outcome of the comparison shows that the early warning system properly describes the risk level of the financial risk of China's foreign in...
International audienceThis paper studies artificial neural network algorithm as a means of modelling...
This graduation project deals with questions and aspects of mathematical methods of analysis of econ...
The purpose of this project is threefold: firstly, to make an overview of what artificial neural net...
Keywords:financial risk; neural network model;early warning mechanism Abstract.Establishment and opt...
To evaluate the overseas investment risks of enterprises and expand the application and development ...
In the context of COVID-19, many companies have been affected by the financial crisis. In order to c...
Recent episodes of financial crisis have revived interest in developing models able to signal their ...
This paper deals with the application of a well-known neural network technique, multilayer back-prop...
This article first uses a new method of nonlinear combination forecasting based on neural networks t...
This paper explored the process of investment management in both theory and practice in China's mutu...
Artificial Neural Networks (ANN) have been used in different segments inside the area of finance suc...
AbstractFranchise value affects bank stability, so this article analyzes of the various factors fran...
This paper combines artificial neural networks (ANN), fuzzy optimization and time-series econometric...
The main objective of this research paper is to highlight the global implications arising in financi...
Using the Artificial Neural Network (ANN) to assess bank credit risk: a case study of Indonesi
International audienceThis paper studies artificial neural network algorithm as a means of modelling...
This graduation project deals with questions and aspects of mathematical methods of analysis of econ...
The purpose of this project is threefold: firstly, to make an overview of what artificial neural net...
Keywords:financial risk; neural network model;early warning mechanism Abstract.Establishment and opt...
To evaluate the overseas investment risks of enterprises and expand the application and development ...
In the context of COVID-19, many companies have been affected by the financial crisis. In order to c...
Recent episodes of financial crisis have revived interest in developing models able to signal their ...
This paper deals with the application of a well-known neural network technique, multilayer back-prop...
This article first uses a new method of nonlinear combination forecasting based on neural networks t...
This paper explored the process of investment management in both theory and practice in China's mutu...
Artificial Neural Networks (ANN) have been used in different segments inside the area of finance suc...
AbstractFranchise value affects bank stability, so this article analyzes of the various factors fran...
This paper combines artificial neural networks (ANN), fuzzy optimization and time-series econometric...
The main objective of this research paper is to highlight the global implications arising in financi...
Using the Artificial Neural Network (ANN) to assess bank credit risk: a case study of Indonesi
International audienceThis paper studies artificial neural network algorithm as a means of modelling...
This graduation project deals with questions and aspects of mathematical methods of analysis of econ...
The purpose of this project is threefold: firstly, to make an overview of what artificial neural net...