
硕士学位论文
6
Abstract
After July 2007, US’s subprime mortgage crisis broke out in an all-round way and
spread to the World quickly, which led to the international financial markets’ turbulence
and threatened the economy’s steady growth. Because China's financial markets haven’t
yet fully opened and domestic financial institutions aren’t highly involved in overseas
financial markets, therefore, the direct impact on China’s financial system caused by
subprime mortgage crisis is very limited. However, under today’s economic
globalization, as the economic slowdown or even recession in the United States and
Europe triggered by subprime mortgage crisis, China's economy can’t be an exception.
So how to effectively control and measure credit risk plays a key role in the
decision-making of financial regulatory authorities、financial institutions and investors.
Market economy is essentially credit economy. The listed companies are a major
participant of market economy, so the credit status of listed companies should be paid
close attention to. Under the background of China’s entry into WTO and the implication
of Basel II, it becomes an important task faced to our country’s financial industry to
take the international advanced technology of credit risk management for reference and
establish the credit risk measurement models suitable for China. As a means to avoid
credit risk, credit risk measurement is the outcome for the development of market
economy. The importance and the improved function for market economy have been
proved by the theoretical research and tested by the practice in developed countries.
This paper did a deep research to the issue by combining theoretical analysis with
empirical study, based on summing up the former research achievements. The structure
of this article is as follows:
The first part started with the background、the significance and the purpose of this
article; then summed up the status of credit risk measurement at home and abroad; set
out the thread、the method and the structure; finally put forward the innovation points.
The second part elaborated the theoretical basis on company’s credit risk
measurement. Firstly, defined relative concepts; then talked about the general analysis
of China’s listed companies’ credit risk and relative theory on listed companies’ credit
risk measurement.
The third part explained the models on listed companies’ credit risk measurement.
Firstly, introduced traditional and modern credit risk measurement models; then made a
comparison.
The fourth part is the core of this paper: empirical study on listed companies’ credit
risk measurement. Firstly, defined the object of study and chose samples according to
certain principles; then selected 35 financial indicators, used Logistic regression model
for empirical analysis of corporate credit risk and ultimately set a Logistic model
containing 10 components. Through the sample examination, ultimately get satisfactory
prediction accuracy. The empirical results show that the financial data of listed
companies in China can effectively be used to predict credit risk.