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| Flow Dilutes Risk:A New Measure of Risk Management for Internet Microfinance |
| CAI Min
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Sun Yat-sen University;
China Guangfa Bank Co.,Ltd |
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Abstract This paper investigates the key principles of internet finance that improves SME finance credit availability. We proposes “flow dilutes risk” as a new measure of risk management for internet-based microfinance, which help SME finance by better using “Law of Large Numbers”. Internet-based microfinance should improve their risk management methods to do more small loans in a simple,basic and correct way. Loans with collateral and with higher levels of borrower leverage are likely to result in larger NPL ratio. Business entity borrowers have higher credit risk than enterprise owner and individual borrowers. Cross jurisdiction risks are significantly positively associated with loan default risk.
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Published: 11 April 2018
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| [1] |
过新伟,2015,《非上市中小企业贷款违约风险研究》,《金融学季刊》第2期,第61-92页。
|
| [2] |
黄子健和王龑,2015,《大数据、互联网金融与信用资本:破解小微企业融资悖论》,《金融经济学研究》第1期,第55-67页。
|
| [3] |
李星煜,2009,《贷款抵押逆向选择效应对不良贷款的影响与对策》,《南方金融》第2期,第67-68页。
|
| [4] |
刘金娟,2013,《基于内部控制的农发行CF分行抵押贷款风险管理研究》,吉林大学硕士论文。
|
| [5] |
刘明康和梁晓钟,2014,《传统银行与互联网金融风控的差异》,《财新新世纪》,第1期,第44页。
|
| [6] |
王锦虹,2015,《基于逆向选择的互联网金融P2P模式风险防范研究》,《财经问题研究》,第5期,第61-68页。
|
| [7] |
张维、何枫、熊熊和张永杰,2015,《基于互联网金融的小微融资概念模型》,《经济体制改革》,第5期,第158-163页。
|
| [8] |
Agarwal S. and R. Hauswald,2007, “Distance and Information Asymmetries in Lending”, Proceedings, pp.183–204.
|
| [9] |
Berger A.N.and F.U.Gregory,2006, “A More Complete Conceptual Framework for SME Finance”,Journal of Banking & Finance,30 (2), pp2945–2966.
|
| [10] |
Bachmann A., A.Becker, D.Buerckner, M.Hilker, F.Kock, M.Lehmann, P.Tiburtius and B.Funk,2011, “Online Peer-to-Peer Lending A literature”, Journal of Internet Banking and Commerce,16(2),pp1-18.
|
| [11] |
Milani C.,2014, “Borrower–lender Distance and Loan Default Rates: Macro Evidence from the Italian Local Markets”,Journal of Economics and Business,(3)pp1-21.
|
| [12] |
Chen D. and C.Han,2012, “A Comparative Study of Online P2P lending in the USA and China”, Journal of Internet Banking and Commerce,17(2)pp2-15.
|
| [13] |
DeYoung R., D.Glennon and P. Nigro,2008, “Borrower-lender Distance, Credit Scoring, and the Performance of Small Business loans”, Journal of Financial Intermediation, 17(3)pp113–143.
|
| [14] |
Duarte J., S.Siegel and L. Young, 2012,“Trust and Credit: The Role of Appearance in Peer-to-Peer Lending”, Review of Financial Studies,25(8) pp2455-2484.
|
| [15] |
Freedman S. and G.Z.Jin, 2009,“Learning by Doing with Asymmetric Information: Evidence from Prosper”,http://papers,ssrn,com/sol3/papers,cfm?abstract_id=1304138, 12-14.
|
| [16] |
Herzenstein M., U.M. Dholakia and R.L.Andrews,2010,“Strategic Herding Behavior in Peer-to-Peer Loan Auctions”, Journal of Interactive Marketing,16(2) pp1-18.
|
| [17] |
Hotelling H.,1929, “Stability in Competition”, Economic Journal, 39(3) pp41–45.
|
| [18] |
Huan Cai, 2012, “Collateral two-dimensional moral hazard, and competition”, Dissertation of The University of Utah.
|
| [19] |
Lin M.F., N.R.Prabhal and S.Viswanathan,2013, “Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending”, Management Science, 59(1) pp 17-35.
|
| [20] |
Liu Mingkang, “China’s Online Financial Sector Comes of Age”, https://www,project-syndicate,org/commentary/china-online-financial-sector-p2p-lending-by-liu-mingkang-2015-12.
|
| [21] |
Lyer R., A.I. Khwaja, E.F.P. Luttmer and K.Shue,2013,“Screening Pees Softly: Inferring the Quality of Small Borrowers”,http://www,ssrn,com/abstract=1570116,2013-03-29.
|
| [22] |
Li, X., Shang, Y., Su, Z.,2014,“Semiparametric Estimation of Default Probability: Evidence from the Prosper Online Credit Market”, Economics Letters ,Accepted Manuscript.
|
|
|
|
