Font Size: a A A

Domestic Financing Risk Analysis Of P2P Platform

Posted on:2016-07-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y B JiangFull Text:PDF
GTID:2309330470954918Subject:Applied Statistics
Abstract/Summary:PDF Full Text Request
SMEs generally refers to the companies that the registered capital less than5million yuan, the total assets of less than20million yuan, and annual sales amount of income not more than40million yuan business; SMEs are a very important part of the national economy, which has become important force of China’s economic development, and plays an irreplaceable role in the contribution of GDP ratio, the conversion technology into practical productive forces, increasing employment, and promoting international trade and so on; but for a long time,the financing channel is not smooth, asymmetric information and high financing risk,China has been plagued by difficulties in financing of SMEs, like China-a developing country, the financing of SMEs is particularly prominent contradictions.P2P (peer-to-peer Lending) is a network of microfinance model that is an Internet borrowing investor funds through a network of credit platform will lend money to the demand side. This paper analyzes the environment and risk financing of SMEs, research P2P financing model and the potential risks, use of the "Internet+statistical thinking" approach to actively explore P2P risk protection mode and reduce the risk of default P2P platform.The innovation of this paper is combined with China’s reality, during the Construction risk prevention system in P2P, using logistic model analysis and calculation of the SME credit default probability, using VaR models to reduce the risk of P2P platforms such as mortgages, combined engineering insurance to introduce the insurance guarantees mode, according to the existing experience and information, and establish a personal and business credit scoring models in order to particularly describe the system of the P2P risk control; at the same time, I come up with some suggestions and opinions for the future standardized development of P2P platform.My conclusion is that logistic model to calculate the SME credit default probability and VaR model to control the risk of depreciation of collateral in risk prevention of the P2P platform are effective, P2P risk control system can play an effective role in it; but P2P is an emerging format which developes rapidly, we still have a long way to go to establish a comprehensive risk prevention system; the state、the society and the enterprises should pay attention to develop and standardize the P2P industry, to promote development of SMEs healthily and prpsperously.
Keywords/Search Tags:SME Financing, Peer to peer lending, Risk Prevention System, Logistic Credit Model
PDF Full Text Request
Related items