Cited by 90Financial Distress and Bankruptcy PredictionCredit Risk and Financial RegulationsSpatial and Panel Data Analysis

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Spatial dependence in credit risk and its improvement in credit scoring

Fernandes, Guilherme Barreto, Artes, Rinaldo·2016·European Journal of Operational Research

DOI 10.1016/j.ejor.2015.07.013

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Authors: Fernandes, G. B., & Artes, R.
Affiliations: Insper (BR)
Corresponding author: Fernandes, Guilherme Barreto
ORCID: Fernandes, Guilherme Barreto
Artes, Rinaldo
Venue: European Journal of Operational Research
Publisher: Elsevier BV
Published: 2016-03
Volume: 249
Issue: 2
Pages: 517-524
ISSN: 0377-2217 (ISSN-L)
DOI: 10.1016/j.ejor.2015.07.013
OpenAlex: W972495054
Cited by: 90
References: 38
Citations by year: 2026: 5 · 2025: 7 · 2024: 9 · 2023: 12 · 2022: 7 · 2021: 7 · 2020: 11 · 2019: 13 · 2018: 7 · 2017: 9 · 2016: 3
FWCI: 27.97
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: European Journal of Operational Research (publishedVersion)
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Social Sciences › Business, Management and Accounting › Accounting › Financial Distress and Bankruptcy Prediction
Social Sciences › Economics, Econometrics and Finance › Finance › Credit Risk and Financial Regulations
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
Keywords: credit scoring, credit risk, spatial dependence, small and medium-sized enterprises, local economic conditions, default risk, kriging, logistic regression, lending, Brazilian SMEs

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