Credit Risk Assessment In Network Dealer Network Order Financing Mode

With the development of electronic commerce, a large number of middlemen—the network dealers—are spawned, using network as the main marketing channel. Network dealer generally exists in the form of individual or small and micro enterprises. Because network dealer companies have small scale, low anti-risk ability, uneven level of management, without core assets mortgage and effective third-party guarantor, and low cost of default, from the perspective of commercial banks, banks are reluctant to take on excessive risk, more willing to lend money to more secure medium-sized enterprises or state-owned enterprises. The terminal customers’ payments will be deposited in alipay payment platform for a period of time during the course of e-commerce trade, which will result in funding gap for network dealers for some time. Therefore, how to solve the financing problem of network dealers while ensuring the credit risk of commercial banks has become an important issue to be solved in academic and the industrial field.Based on the background of order financing, credit risk assessment theory is the basis of this paper, the paper analyzes the feasibility of financing models of network order in theory, and analyses the process of concrete realization of network order financing modal in practical operation. The paper also searches for starting point of commercial banks, builds Logistic regression model which combines with factors to analyze for credit risk evaluation of the network dealers, and verifies the accuracy of the credit evaluation model by collecting sample data through research.The main work and discussions of this paper are the following aspects: firstly, this paper expounds the differences between the financing modal of traditional order and that of network order, and the paper aims at the network order financing which does not rely on the core enterprises to go into details. Secondly, the paper elaborately analyzes concrete realization process of the network order financing modal, and introduces co-operated order financing modes by commercial bank, network dealers, suppliers, third-party logistics companies from the operational level and operating process. Thirdly, the paper makes the Pearl River Delta region whose network dealers are relatively concentrated and e-commercial development is relatively active as the object to study, collects data by making questionnaires in 24 townships of Zhongshan City, and builds Logistic regression model which combines with factors to analyze for credit risk evaluation of the network dealers. Finally, from the perspective of commercial bank, the paper provides credit risk management recommendations for the network order financing.