Risk-return modelling in the p2p lending market: Trends, gaps, recommendations and future directions

Author:

Ariza-Garzón Miller-Janny,Camacho-Miñano María-Del-Mar,Segovia-Vargas María-Jesús,Arroyo Javier

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Marketing,Computer Networks and Communications,Computer Science Applications

Reference127 articles.

1. Latent factor models for credit scoring in P2P systems;Ahelegbey;Physica A-Statistical Mechanics and Its Applications,2019

2. Amalia, N., Dalimunthe, Z., and Triono, R. A., 2019. The Effect of Lender’s Protection on Online Peer-to-Peer Lending in Indonesia. In:Proceedings of the 33rd International Business Information Management Association Conference, IBIMA. Education Excellence and Innovation Management through Vision 2020.

3. Bibliometrix: An R-tool for comprehensive science mapping analysis;Aria;Journal of Informetrics,2017

4. Explainability of a Machine Learning Granting Scoring Model in Peer-to-Peer Lending;Ariza-Garzon;IEEE Access,2020

5. Online peer-to-peer lending - A literature review;Bachmann;Journal of Internet Banking and Commerce,2011

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