The Credit Risk Assessment And Management Of Rural Housing Reconstruction Loan After The Earthquake In Sichuan

"5.12"Wenchuan earthquake could be described as the most devastating disaste since the founding of new China, causing the collapse of a large number of rural housing, production and living of farmers had been greatly Impact. The productive resources and houses were destroyed, especially in the poor mountainous areas, income limits restricting the recovery of reconstruction. In the post-disaster reconstruction "meters long-distance running", the rural housing reconstruction had been incorporated into the most important part of people's livelihood. Catastrophe a test of people's will and strength, but also a test of the financial system to cope. To actively support the post-disaster reconstruction of rural housing, financial institutions, especially as the subject of rural credit cooperatives, played an key role in the rural housing reconstruction after the disaster, special loans to carry out had greatly promoted the rural housing reconstruction. However, due to the special relief of credit with a strong quasi-fiscal nature, and for its heavy historical burden, the loans were undoubtedly bad for sustainable development of Rural Credit Cooperatives. Then, the scientific division of credit information by credit farmers, measuring the risk of rural housing reconstructio loans, had a positive significance to financial institutions risk management.Based on the theory of credit risk assessment and risk management, through the survey data in 5 cunties of Sichuan Province,384 farmers, and 10 financial institutions, the paper attempted to use the method of Fuzzy Matrix analysis for each county farmers to classify credit information; the same time, tried to identify the management risk and security risk of itself; followed in the classification, the paper had studied the risk management of loans for rural housing reconstruction and put forward some related management proposals. Through these parts, the study reached the following conclusions:(a) The rural housing reconstruction loan Complemented the financial catastrophe theory. Rural housing reconstruction loan was a special innovative credit product which aims to support reconstruction after the earthquake disaster. The product enriched the connotation of the financial service system to supplement the financial catastrophe theory from product form of innovation, exploring the external supply mechanism, risk management.(b) Household credit risk was low. Due to the different economic environment, and their income-generating ability, financial institutions face different risk. Because of angelica aided by their counterparts resulting in better credit environment, industrial development has led to increased revenue and positive gratitude disaster guide, rural housing reconstruction loans have lower credit risk.(c) The risk ranged from management and was higher than credit risk. Basing on the survey, the financial institutions confusion operating in special loans may cause the higher loss of business risk than credit risk households; the same time, from the operation of government guarantee funds, the lack of guarantee funds had more exposure than credit risks.(d) The main reason for credit risk was the lag of management system. Risk of post-disaster reconstruction loans generated was due to the internal management system of financial institutions was not perfect. Internal lack of credit officers were not punished by chapter operations management system, resulting in a loan increases the probability of moral hazard; government guarantee behind the use of funds was exacerbated by the system due risk of bad debt losses.Based on the conclusions of the study, this study suggested that to management of the credit risk, the financial institutions must do the following several aspects:a) Innovation the credit risk management mode of rural housing reconstruction loans; b) specification the operation process of rural housing reconstruction loans; c) created Dynamic monitoring mechanism for farmers credit information; d) sound financial institutions, internal control mechanisms; e) sound loan credit risk compensation mechanism; f) improve the credit loan environment.