本文選題：網(wǎng)絡(luò)借貸　切入點(diǎn)：平臺評級　出處：《首都經(jīng)濟(jì)貿(mào)易大學(xué)》2017年碩士論文

【摘要】：自2012年以來,大量互聯(lián)網(wǎng)技術(shù)在金融行業(yè)的應(yīng)用促進(jìn)了互聯(lián)網(wǎng)金融行業(yè)的蓬勃發(fā)展,獲得了社會及學(xué)術(shù)界的廣泛關(guān)注及研究。網(wǎng)絡(luò)借貸是互聯(lián)網(wǎng)金融非常重要的一部分,近年平臺數(shù)量和規(guī)模都取得了突破性的發(fā)展,然而網(wǎng)貸平臺不合規(guī)運(yùn)營方式不斷涌現(xiàn),不僅危害用戶資金安全也擾亂了互聯(lián)網(wǎng)金融行業(yè)的秩序。在相關(guān)部門大力推進(jìn)網(wǎng)貸行業(yè)規(guī)范化的機(jī)遇下本文對網(wǎng)貸平臺綜合評級展開研究,以期為用戶提供更多的選擇參考信息,為評級機(jī)構(gòu)提供更多的思路及方向,為網(wǎng)貸市場規(guī)范化貢獻(xiàn)力量。本文首先區(qū)分了傳統(tǒng)信用評級與網(wǎng)貸平臺的綜合評級,確定了網(wǎng)貸平臺綜合評級是對平臺綜合經(jīng)營狀況的評價。然后從主觀及客觀兩個角度分別展開評級研究,豐富了平臺評級的內(nèi)容。針對客觀評級,在對比分析以往研究的基礎(chǔ)上結(jié)合相關(guān)法規(guī)政策選取了4個一級指標(biāo)及26個二級評級指標(biāo),結(jié)合層次分析法與熵值法完成指標(biāo)權(quán)重設(shè)置。最后以40家網(wǎng)貸平臺的數(shù)據(jù)為樣本計(jì)算評級指數(shù),結(jié)合現(xiàn)有的評級結(jié)果,驗(yàn)證了本文客觀評級具有一定的現(xiàn)實(shí)意義。針對主觀評級,創(chuàng)新性的將文本挖掘技術(shù)應(yīng)用到網(wǎng)貸平臺評級中,從活躍的平臺評價網(wǎng)站文本數(shù)據(jù)入手,采用文本分析的方法提取出4個主觀評級特征指標(biāo),按照文本數(shù)量設(shè)置權(quán)重,完成主觀評級模型構(gòu)建。最后,采用分位數(shù)的思想將主客觀評級結(jié)果歸為1-5個星級,通過相關(guān)的統(tǒng)計(jì)檢驗(yàn)及平臺星級結(jié)果的對比分析,進(jìn)一步驗(yàn)證了主觀評級對客觀評級的補(bǔ)充作用,為投資人及借款人提供了更多的參考信息,建立了較為完整的網(wǎng)貸平臺評級體系。
[Abstract]:Since 2012, the application of a large number of Internet technologies in the financial industry has promoted the vigorous development of the Internet financial industry, and has received extensive attention and research from both the society and the academic community. Network lending is a very important part of Internet finance. In recent years, the number and scale of platforms have made a breakthrough development. It not only endangers the security of users' funds, but also disturbs the order of Internet finance industry. In order to provide more reference information for users, provide more ideas and directions for rating agencies, and contribute to the standardization of the credit market, this paper first distinguishes the traditional credit rating from the comprehensive rating of the online loan platform. It is determined that the comprehensive rating of the network loan platform is the evaluation of the platform's comprehensive operating condition. Then the research on the rating is carried out from the subjective and objective angles, which enriches the content of the platform's rating. On the basis of comparing and analyzing the previous studies, we select 4 first-grade indexes and 26 second-grade rating indexes combined with the relevant laws and regulations. Finally, taking the data of 40 network loan platforms as the sample to calculate the rating index, combined with the existing rating results, the paper combines the analytic hierarchy process (AHP) with the entropy method to complete the index setting. The objective rating of this paper has certain practical significance. Aiming at subjective rating, the text mining technology is innovatively applied to the evaluation of web loan platform, which starts with the active platform to evaluate the text data of the website. Four subjective rating characteristic indexes were extracted by text analysis, and the subjective rating model was constructed according to the weight of text quantity. Finally, the subjective and objective rating results were classified into 1-5 stars by quantile method. Through the relevant statistical tests and the comparative analysis of platform star results, it further verifies the supplementary role of subjective ratings to objective ratings, and provides more reference information for investors and borrowers. Established a relatively complete network loan platform rating system.
【學(xué)位授予單位】：首都經(jīng)濟(jì)貿(mào)易大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F832.4;F724.6

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 陸岷峰;楊亮;;規(guī)范P2P網(wǎng)貸平臺成長的路徑[J];南都學(xué)壇;2016年02期

2 王麗君;陳韜;焦云霞;齊志強(qiáng);;試論互聯(lián)網(wǎng)金融平臺評級[J];新金融;2016年02期

3 張鵬;;互聯(lián)網(wǎng)金融監(jiān)管途徑創(chuàng)新——以P2P平臺評級體系為例[J];時代金融;2015年32期

4 鄭秀君;;互聯(lián)網(wǎng)金融背景下科技型中小企業(yè)信用評級實(shí)證研究[J];征信;2015年09期

5 何師元;;“互聯(lián)網(wǎng)+金融”新業(yè)態(tài)與實(shí)體經(jīng)濟(jì)發(fā)展的關(guān)聯(lián)度[J];改革;2015年07期

6 肖肖;駱建文;;基于大數(shù)據(jù)的互聯(lián)網(wǎng)融資平臺信用評級[J];現(xiàn)代管理科學(xué);2015年01期

7 宋秀茹;;加強(qiáng)互聯(lián)網(wǎng)金融監(jiān)管的思考[J];河北金融;2013年09期

8 蔡水花;;中小企業(yè)進(jìn)行P2P網(wǎng)絡(luò)借貸的風(fēng)險探析[J];福建金融;2013年05期

9 謝平;鄒傳偉;;互聯(lián)網(wǎng)金融模式研究[J];金融研究;2012年12期

10 謝麗星;周明;孫茂松;;基于層次結(jié)構(gòu)的多策略中文微博情感分析和特征抽取[J];中文信息學(xué)報;2012年01期

相關(guān)博士學(xué)位論文 前3條

1 雷華順;眾籌融資法律制度研究[D];華東政法大學(xué);2015年

2 譚君;面向行業(yè)自律機(jī)制建設(shè)的P2P網(wǎng)絡(luò)借貸市場監(jiān)管策略研究[D];西南財經(jīng)大學(xué);2014年

3 崔亮;投資者情緒的統(tǒng)計(jì)測評及其應(yīng)用研究[D];西南財經(jīng)大學(xué);2013年

相關(guān)碩士學(xué)位論文 前10條

1 趙健行;互聯(lián)網(wǎng)金融背景下第三方理財公司業(yè)務(wù)發(fā)展策略研究[D];對外經(jīng)濟(jì)貿(mào)易大學(xué);2015年

2 張日金;我國P2P網(wǎng)絡(luò)借貸風(fēng)險控制研究[D];浙江大學(xué);2015年

3 董峰;我國P2P網(wǎng)絡(luò)借貸平臺模式及其風(fēng)險研究[D];云南財經(jīng)大學(xué);2015年

4 孫曉s，

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