In July 1, 2007, Taiwan Stock Exchange (TWSE) on market observation post system (MOPS) adds a new "Financial reference database" for investors to do investment reference. This database as a warning to public offering companies listed on the public financial information and it original within eight targets. In this paper, this database provided by the indicators for the application of company financial crisis early warning model verify that the database provided by the indicator forecast for the financial crisis, whether or not companies have a high accuracy rate as opposed to domestic and foreign scholars have positive results. There is use of Logistic Regression Model application of the financial early warning model, in which no joined bac...
[[abstract]]After the pioneering study by Beaver (1966) and Altman (1968) proposed corporate financi...
Different economic crises such as banking, financial, and currency lead to high economic costs and h...
The recent global financial crisis has caused the failure of many firms in several countries, renewi...
Abstract: This study conducts an empirical analysis of corporate financial crisis to develop an earl...
This article first uses a new method of nonlinear combination forecasting based on neural networks t...
The financial crisis is a realistic problem that the general enterprise must encounter in the proces...
[[abstract]]The purpose of this dissertation is to discuss the factors which can affect the occurren...
Financial crises are one of the most common phenomena in the economy. This research studies im...
Abstract: In order to establish a reasonable and effective financial crisis early warning model, the...
Abstract. In this paper, we use the modern management theory to build a corporate financial risk ear...
In the context of COVID-19, many companies have been affected by the financial crisis. In order to c...
Nowadays, China is faced with increasing downward pressure on its economy, along with an expanding b...
Traditional financial crisis prediction approaches have a tough time extracting the properties of fi...
[[abstract]]The scholar, Beaver, once used the single variable method for analyzing 30 financial rat...
Keywords:financial risk; neural network model;early warning mechanism Abstract.Establishment and opt...
[[abstract]]After the pioneering study by Beaver (1966) and Altman (1968) proposed corporate financi...
Different economic crises such as banking, financial, and currency lead to high economic costs and h...
The recent global financial crisis has caused the failure of many firms in several countries, renewi...
Abstract: This study conducts an empirical analysis of corporate financial crisis to develop an earl...
This article first uses a new method of nonlinear combination forecasting based on neural networks t...
The financial crisis is a realistic problem that the general enterprise must encounter in the proces...
[[abstract]]The purpose of this dissertation is to discuss the factors which can affect the occurren...
Financial crises are one of the most common phenomena in the economy. This research studies im...
Abstract: In order to establish a reasonable and effective financial crisis early warning model, the...
Abstract. In this paper, we use the modern management theory to build a corporate financial risk ear...
In the context of COVID-19, many companies have been affected by the financial crisis. In order to c...
Nowadays, China is faced with increasing downward pressure on its economy, along with an expanding b...
Traditional financial crisis prediction approaches have a tough time extracting the properties of fi...
[[abstract]]The scholar, Beaver, once used the single variable method for analyzing 30 financial rat...
Keywords:financial risk; neural network model;early warning mechanism Abstract.Establishment and opt...
[[abstract]]After the pioneering study by Beaver (1966) and Altman (1968) proposed corporate financi...
Different economic crises such as banking, financial, and currency lead to high economic costs and h...
The recent global financial crisis has caused the failure of many firms in several countries, renewi...