Evaluating the well-qualified borrowers from PaiPaiDai

No abstract is available for this paper.

• Publication year

  2017

• Venue

  International Conference on Information Technology and Quantitative Management

• Publication date

  Unknown publication date

• Fields of study

  Business, Economics, Computer Science

• Identifiers
  DOI 10.1016/j.procs.2017.11.436
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Forward looking vs backward looking: An empirical study on the effectiveness of credit evaluation system in China’s online P2P lending market

  2017cited by this paper
• Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending

  2015cited by this paper
• The Effects of Lender-Borrower Communication on P2P Lending Outcomes

  2015cited by this paper
• Determinants of Default in P2P Lending

  2015cited by this paper
• A trust model for online peer-to-peer lending: a lender’s perspective

  2014cited by this paper
• An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data

  2012cited by this paper
• Stability in Consumer Credit Scores: Level and Direction of FICO Score Drift as a Precursor to Mortgage Default and Prepayment

  2011cited by this paper
• Journal of Economic Behavior & Organization Anatomy of the Credit Score

  year unknowncited by this paper

• Knowledge and acceptance of the Crowdfunding Platform

  2023cites this paper
• Multi-objective Particle Swarm Optimization for Feature Selection in Credit Scoring

  2020cites this paper
• Dynamic Credit Risk Evaluation Method for E-Commerce Sellers Based on a Hybrid Artificial Intelligence Model

  2019cites this paper
• Peer to Peer (P2P) Lending Problems and Potential Solutions: A Systematic Literature Review

  2019cites this paper