Font Size: a A A

Study On Behavior Of P2P Network In China Loan Bidding

Posted on:2016-01-30Degree:MasterType:Thesis
Country:ChinaCandidate:X Y DingFull Text:PDF
GTID:2309330464453781Subject:Applied Economics
Abstract/Summary:PDF Full Text Request
Since 2005 Zopa launched in the UK, network lending platform a variety of rapid development and growth. USA first P2P network lending platform -- Prosper, founded in 2006, after years of development and perfection, by the end of 2014, Prosper with 1610000 members and a total of completed a total of$1600000000 of loans, in America P2P lending market top, currently have more than 50% market share, and began to involved in the medical field in 2015 1 at the end of the loan. Kiva and Lengding Club also followed in USA gradually creation and development, but its business philosophy is and Prosper is different, the focus in the focus on vulnerable groups and public service the loan project. In 2006 Chinese established the first P2P lending platform--the letter advised, since then have established ppdai, appropriate letter, red hill VC, peer-to-peer lending and other P2P network lending platform, since then, network lending market in China P2P showing a vigorous development of the situation. After entering in 2013, the P2P network lending platform in our country is in almost every day a speed fast expansion. According to relevant statistics show, P2P was positively related with the level of economic development lending, currently concentrated in the more developed eastern region of the financial level. In 2014 China P2P net credit platform volume and the final balance of loans exceeded 250000000000 yuan and 100000000000 yuan respectively; operation platform number reached 1575, a total of 1160000 investors and 630000 year financing using P2P net credit platform transaction. P2P platform to promote the folk lending boom, to relieve the financing difficulty of small and medium-sized enterprises, broaden the investment channel of the folk capital to create a new pattern.The purpose of this study is through the influence factors of the bidder behavior of Chinese P2P network lending analysis, and proposed the corresponding solutions, and provide valuable reference for the participants and regulators network lending industry of P2P in China, so as to make it possible to play its due role in the investment and financing, so as to promote the health of the P2P industry the sustainable development of China’s financial market, enhance the richness and diversity of.This paper mainly studies the bidding P2P lending market in our country the behavior factors, to analyze the impact of the bidding according to the main information of each index and the borrower loan basic information, and through the establishment of the logistic regression model to market unique "the second" phenomenon to predict, find the existence of P2P problems in the market from it, to provide the valuable reference for the P2P network lending platform of participants and regulators. This paper mainly uses the following research methods:first, the method of factor analysis, this paper carries out the factor analysis by SPSS software, the tenderer factors influence size to sort, to find out the important influence factor index, and further the common factor extraction, summed up the impact of P2P network lending platform in China Bidding factors in bid decision. Second, Logistic regression analysis method, this paper firstly established the logistic model, and then analyzed by SPSS, the P2P network lending market in the "second" phenomenon research, and find out the influence factors of "behind the second standard" behavior, finally the model prediction reliability.The analysis focused on analysis of bidding in China P2P network lending market in behavior, mainly in the domestic with network lending platform representative everyone credit as an example, conducts the analytical study in simple terms, and provide suggestions on rational analysis result for the tenderer. Specifically, this paper includes the following six parts:the first part is an introduction, describes the background, research purpose and significance, research contents and methods, the research framework; the second part is literature review of P2P network lending, experts and scholars in the field, firstly the concept of P2P network lending to be defined, then from three aspects of the influence factors of the tenderer’s herd behavior, bidding decision makers, the tenderer investment style discusses relevant experts and scholars in P2P network lending in the research field of the theoretical results. Finally, on the basis of the evaluation of research in this field discussed the difference between the research contents and methods; the third part is the characteristics of bidding behavior in our P2P network lending industry analysis, from different aspects of our P2P network lending bidders own characteristics, investment preference characteristics to analyze the behavior characteristics and to a deeper understanding of the bidding decision before state background;the fourth part is empirical research on the theoretical model of the establishment and bidder behavior. Firstly, the thesis introduces the factor analysis, logistic regression model establishment, bidding behavior of related theoretical hypotheses, and introduces the variables of the model selection and sample data of descriptive statistics and analysis results, on the basis of further factor analysis, the various factors influence the size of the sort, and extract the common factor, summed up the important factors influencing the bidding decision, finally in second mark logistic regression analysis, the influencing factors of the index, to predict the probability of second mark phenomenon; the fifth part for our P2P network lending industry existing problems and policy suggestions, through the analysis of the above empirical results proposed reasonable suggestions, in order to promote the healthy development of the P2P network lending industry in China; the sixth part is the summary and outlook, first carries on the research summary of this article, the innovation and deficiencies of this paper, and make a prospect for the research on the field of research in China P2P network lending bidding.
Keywords/Search Tags:P2P online lending, Factor analysis, Logistic regression analysis, Bidder behavior
PDF Full Text Request
Related items