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Credit Scoring in Microfinance Using Non-traditional Data · Study

WorkCredit Scoring in Microfinance Using Non-traditional Data

Saulo Ruiz2017

OA

Workbronze2017

Credit Scoring in Microfinance Using Non-traditional Data

Saulo Ruiz · Pedro A. B. Gomes · Luís Rodrigues · João Manuel Portela da Gama

21 citations·0/0 files stored·Lecture notes in computer science

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Financial Distress and Bankruptcy Prediction Microfinance and Financial Inclusion FinTech, Crowdfunding, Digital Finance

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References

2002Credit Scoring and Its Applications 2005Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring 2012Credit scoring models for the microfinance industry using neural networks: Evidence from Peru 2011Credit scoring for microfinance: is it worth it?2015A new dynamic modeling framework for credit risk assessment 2015MobiScore: Towards Universal Credit Scoring from Mobile Phone Data

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Year2017

Typeother

Published2017-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations21

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1007/978-3-319-65340-2_37

openalex_workW2744517834

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