The DOI matches its Crossref record; 36 of the 38 references it cites were found in a registry or an index.
Spatial dependence in credit risk and its improvement in credit scoring
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“Comparable problems can be found in the literature on credit scoring, where the place of residence can have a negative effect on creditworthiness and thus discriminate against people in selected regions (Andreeva et al., 2004; Fernandes and Artes, 2016; Havard, 2010; Marron, 2007).”
From Trust-Building in Peer-to-Peer Carsharing: Design Case Study for Algorithm-Based Reputation Systems (2024) · cites this paper as Fernandes and Artes, 2016
Citations
Cites
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Distance and Private Information in Lending
Agarwal, S. D., & Hauswald, R. B. H. (2010) · Review of Financial Studies · doi:10.1093/rfs/hhq001 · Cited by 1,370
Tilke, C. (1992) · Computational Statistics & Data Analysis · doi:10.1016/0167-9473(92)90071-m · Cited by 1,059
Statistical Classification Methods in Consumer Credit Scoring: A Review
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An Introduction to Applied Geostatistics
Hohn, M. E. (1991) · Computers & Geosciences · doi:10.1016/0098-3004(91)90055-i · Cited by 845
Simulation-Extrapolation Estimation in Parametric Measurement Error Models
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Predicting financial distress of companies: revisiting the Z-Score and ZETA® models
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Credit Scoring and Its Applications
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Research works printed but not linked: 7
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- Fernandes, 2012, Low Default Modeling: Beyond Pluto & Tasche, Credit Technology, 81
- Kumar, 2006, vol. 85
- Makowiski, 1985, Credit scoring branches, Credit World, 75, 30
- Orgler, 1971, Evolution of bank consumer loans with credit scoring models, Journal of Banking Residential, 2, 31
- Papritz, 1999, Linear and non-linear kriging methods: tools for monitoring soil pollution, Statistics for the Environment, 4, 303
- Zocco, 1985, A framework for expert systems in bank loan management, Journal of commercial banking lending, 67, 47
Cited by
Sorted by citations
Kou, G., Xu, Y., Peng, Y., Shen, F., Chen, Y., Chang, K., & Kou, S. (2020) · Decision Support Systems · doi:10.1016/j.dss.2020.113429 · Cited by 381
Application of RBF neural network optimal segmentation algorithm in credit rating
Li, X., & Sun, Y. (2020) · Neural Computing and Applications · doi:10.1007/s00521-020-04958-9 · Cited by 175
A review of credit scoring research in the age of Big Data
Onay, C., & Öztürk, E. (2018) · Journal of Financial Regulation and Compliance · doi:10.1108/jfrc-06-2017-0054 · Cited by 93
Kriging of financial term-structures
Areski Cousin, B., Maatouk, H., & Rullière, D. (2016) · European Journal of Operational Research · doi:10.1016/j.ejor.2016.05.057 · Cited by 53
Robust and sparse banking network estimation
Torri, G., Giacometti, R., & Paterlini, S. (2018) · European Journal of Operational Research · doi:10.1016/j.ejor.2018.03.041 · Cited by 49
Metadata
- Authors
- Fernandes, G. B., & Artes, R.
- Affiliations
- Insper (BR)
- Corresponding author
- Fernandes, Guilherme Barreto
- Venue
- European Journal of Operational Research
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 249
- Issue
- 2
- Pages
- 517-524
- ISSN
- 0377-2217 (ISSN-L)
- 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
- 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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