Credit Risk Assessment of POS-Loans in the Big Data Era

Research output: Conference Papers (RGC: 31A, 31B, 32, 33)32_Refereed conference paper (no ISBN/ISSN)Not applicablepeer-review

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Original languageEnglish
StatePublished - 7 Jun 2014

Conference

TitleWorkshop on Internet and BigData Finance (WIBF)
PlaceChina
Period7 June 2014

Abstract

Credit risk assessment plays an essential role in bank loan processes. It is difficult for small and micro enterprises (SMEs) to apply for a loan because of the lack of collateral and low credit ratings. In the absence of a guaranty, enterprises can get loans based on the business and operational data from POS machine records. In this position paper, we propose to use POS-loans to address this problem. This paper defines the concept of POS-loans, proposes a credit scoring framework, and discusses the potential influence of POS-loans on bank management.

Citation Format(s)

Credit Risk Assessment of POS-Loans in the Big Data Era. / Bian, Y; Fan, S; YE, Liying; Zhao, L.

2014. Paper presented at Workshop on Internet and BigData Finance (WIBF), China.

Research output: Conference Papers (RGC: 31A, 31B, 32, 33)32_Refereed conference paper (no ISBN/ISSN)Not applicablepeer-review