Information processing is an important topic in theoretical and experimental economics. In theoretical economics, especially in Austrian economics school (L. Mises, F. Hayek, I. Kirzner), was shown that only market prices provided aggregation of information. In the new-austrian theory of entrepreneurship difference between the information-processing styles is postulated as the main source of profit and innovations (Kirzner, 1973, 1997).Radner (1979) shows that if tradersholdheterogeneousprivateinformationthepricesconvergetoanequilibrium as if each trader openly and truthfully communicates his own private information. āIt remains an open question, therefore, whether market prices are able to fully revealthetruestateevenwhentradersholdidenticalorhomogeneouspartialprivate information,inthesensethatitinducesthesamebeliefsoverassetvaluationsā.
Small and microenterprises are an important part of the national economy. Because of their small disposable assets, low degree of regularization, incomplete and discontinuous information management and financial information, low stability of production, and lack of mortgage assets that banks are willing to accept, these enterprises represent a high-risk part of the financial service system. Therefore, the risk assessment of Internet financial loans for small and microenterprises has become an important issue and requires serious study. This paper constructs an index system for the risk assessment of Internet financial loans for small and microenterprises and proposes a logistic-BP combined model, which is applied to 1389 sample Internet financial loans of small and microenterprises. After deleting data observations with default values, the remaining 1326 sets of sample data include 1248 low-risk samples and 78 high-risk samples. The risk assessment and testing are carried out for enterprises in three stages: germination stage, growth stage and mature stage. Comparison of the results of the logistic-BP combined model and single BP neural network model shows that the combined model has high accuracy and provides a reference for the risk assessment of Internet financial loans for small and microenterprises.
As a new mode of financing, Internet Financial online lending, which combines Internet with traditional lending, not only broadens the channels of circulation of funds, but also promotes the optimal allocation of social resources. However, the issue of the high loan risk of borrowers restricts the development of Internet financial online lending industry. Therefore, how to maximize the profits of investors under the circumstance of effectively controlling the risk of Internet financial online lending will be the key to the sustainable development of Internet lending platform. Based on this, this paper uses Logistic regression model to quantify the risk of online credit, obtains the default probability and credit rating of borrowers, constructs RAROC model according to the regulatory indicators of Basel ? Accord, and takes Renren loan, a typical domestic P2P online credit platform, as the research object, to make an empirical study on risk pricing of Internet financial online loan. The empirical results show that RAROC model is applicable to the pricing of Internet financial online loan risk, and is more flexible and risk-sensitive than the current fixed-rate pricing model of Internet lending platform, which can effectively improve the quality of Internet loan pricing.