Network lending as a financial innovation mode arises at the historic moment under the wave of the Interact, is an efficient and convenient way of borrowing, largely changed the small and medium-sized enterprise finan...Network lending as a financial innovation mode arises at the historic moment under the wave of the Interact, is an efficient and convenient way of borrowing, largely changed the small and medium-sized enterprise financing difficult problem, also convenient for ordinary people to borrow in time. Network credit enterprise group the avant-garde consumption ideas and values for college students in the campus lending business, in recent years, campus loan malignant events often appear, network borrowing brought convenience for college students, to make it better to enjoy the material life, but because of inadequate supervision and lack of law related, the existence of the big risk of college loans, this article USES SPSS17.0 weight analysis method, this paper analyzes the factors which influence on the risk of lending to college students＇ network research, affecting variables to the sorting, data descriptive statistical analysis, compare the mean and standard deviation of the variable size, risk prevention Suggestions finally.展开更多
文摘Network lending as a financial innovation mode arises at the historic moment under the wave of the Interact, is an efficient and convenient way of borrowing, largely changed the small and medium-sized enterprise financing difficult problem, also convenient for ordinary people to borrow in time. Network credit enterprise group the avant-garde consumption ideas and values for college students in the campus lending business, in recent years, campus loan malignant events often appear, network borrowing brought convenience for college students, to make it better to enjoy the material life, but because of inadequate supervision and lack of law related, the existence of the big risk of college loans, this article USES SPSS17.0 weight analysis method, this paper analyzes the factors which influence on the risk of lending to college students＇ network research, affecting variables to the sorting, data descriptive statistical analysis, compare the mean and standard deviation of the variable size, risk prevention Suggestions finally.
