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Instance-based credit risk assessment for investment decisions in P2P lending · Study

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ArticleInstance-based credit risk assessment for investment decisions in P2P lending

Yanhong Guo2015

Article2015

Instance-based credit risk assessment for investment decisions in P2P lending

Yanhong Guo · Wenjun Zhou · Chunyu Luo · Chuanren Liu · Hui Xiong

313 citations·0/0 files stored·European Journal of Operational Research

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FinTech, Crowdfunding, Digital Finance Financial Distress and Bankruptcy Prediction Risk and Portfolio Optimization

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References

1959Portfolio Selection: Efficient Diversification of Investments 2013The dynamics of crowdfunding: An exploratory study 2013Crowdfunding: Tapping the right crowd 2003Credit rating analysis with support vector machines and neural networks: a market comparative study 2000Nonparametric risk management and implied risk aversion 1980A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior 2011Peer to Peer Lending: The Relationship Between Language Features, Trustworthiness, and Persuasion Success

Cited by

2019Soft consensus cost models for group decision making and economic interpretations 2016The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending 2020A benchmark of machine learning approaches for credit score prediction 2020FinTech, SME efficiency and national culture: Evidence from OECD countries 2017Cost-sensitive boosted tree for loan evaluation in peer-to-peer lending 2022Big data, artificial intelligence and machine learning: A transformative symbiosis in favour of financial technology

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Details

Year2015

Typearticle

Published2015-05-29

VenueEuropean Journal of Operational Research

ISSN-L0377-2217

Languageen

Citations313

Files0 public / 0

ShelfFinTech, Crowdfunding, Digital Finance

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doi10.1016/j.ejor.2015.05.050

openalex_workW430137803

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2017Loan default prediction by combining soft information extracted from descriptive text in online peer-to-peer lending

2017Optimal Stackelberg strategies for financing a supply chain through online peer-to-peer lending