袁景輝 張焱 李文萍
摘要:本文主要對校園貸行業現狀進行定量的分析,并在此基礎上建立灰色預測模型,分析其未來的發展趨勢。針對校園貸現狀,選取在校大學生人數、學生對校園貸的態度、校園貸服務平臺數量、問題平臺數量以及行業成交額等指標,結合實際,定量的分析其發展現狀。得到總體向好的方向發展,但是行業規范不健全,而且競爭激烈,問題平臺仍然存在。針對校園貸未來發展趨勢,選取行業成交額和企業凈收入額兩個因素為指標,建立灰色預測模型,得到行業成交額與凈收入額發展趨勢圖。得到未來幾年校園貸行業成交額與凈收入額還會以較快的速度增長。
Abstract: This paper mainly analyzes the status quo of the campus loan industry and establishes a grey forecasting model based on this, and analyzes its future development trend. In view of the current situation of campus loans, the number of college students, the attitude of students to campus loans, the number of campus loan service platforms, the number of problem platforms, and the turnover of the industry were selected, and the actual development status was quantitatively analyzed. It has been developing in an overall direction, but industry standards are not perfect, and competition is fierce. The problem platform still exists. In view of the future development trend of the campus loan, two factors, namely the turnover of the industry and the net income of the company, are used as indicators, and a grey forecasting model is established to obtain the trends of the development of the industry turnover and net income. In the coming years, the turnover and net income of the campus loan industry will also grow at a faster rate.
關鍵詞:校園貸;灰色預測模型;matlab
Key words: campus loan;grey prediction model;matlab
中圖分類號:G647 文獻標識碼:A 文章編號:1006-4311(2018)16-0048-02
1 研究背景及現狀
隨著信息技術的發展以及“互聯網+”時代的到來,互聯網金融行業得到發展,以在校大學生為服務對象的網絡貸款平臺日益增多,為急需資金的學生和團體提供了便利,也刺激了大學生的消費欲望,提高了消費水平,得到了很多學生的青睞。據統計,在校大學生中有67.50%的學生使用過校園網貸而且還會繼續使用,沒試用過或者不想再使用的學生只占32.50%。
與此同時也掀起了校園網貸交易平臺的利益競爭之戰。由于網貸交易是一種新型交易平臺,其市場規范和相關法律法規還有待完善,經營者也缺乏應對市場風險的經驗。2017年有關部門緊急下發《關于進一步加強校園貸規范管理工作的通知》,嚴肅整頓非法校園網貸交易平臺,出臺行業運行規范。……