scholarly journals Peer-to-Peer Lending and EU Credit Laws: A Creditworthiness Assessment, Credit-Risk Analysis or … Neither of the Two?

2021 ◽  
Vol 22 (1) ◽  
pp. 102-121
Author(s):  
Federico Ferretti

AbstractThe Article deals with the protection of consumer borrowers and lending investors in peer-to-peer lending within the legal framework provided by EU credit laws. This is the legal framework for EU Member States in the area of loans to consumers. In particular, the article analyses the business model of taking lending decisions on financial technologies (“Fintech”) and big data vis-à-vis the legal obligation of the creditworthiness assessment by lenders. At the same time, it extends the applicability of such a business model to the credit-risk analysis undertaken in the interest of lenders. Ultimately, it questions to what extent EU law caters for peer-to-peer lending, and and to what extent consumers and lenders can find protection. It hints that peer-to-peer lending presents risks for both consumers and lenders, falling short of legal obligations and established practices for their protection.

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Gang Kou ◽  
Wenshuai Wu

This paper proposes an analytic hierarchy model (AHM) to evaluate classification algorithms for credit risk analysis. The proposed AHM consists of three stages: data mining stage, multicriteria decision making stage, and secondary mining stage. For verification, 2 public-domain credit datasets, 10 classification algorithms, and 10 performance criteria are used to test the proposed AHM in the experimental study. The results demonstrate that the proposed AHM is an efficient tool to select classification algorithms in credit risk analysis, especially when different evaluation algorithms generate conflicting results.


2020 ◽  
pp. 275-348
Author(s):  
Terence M. Yhip ◽  
Bijan M. D. Alagheband

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