Alternative Data Sources and Psychometric Scales Supported Credit Scoring Models
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Date
2023
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
This study aims to evaluate individuals with limited access to banking services and enhance credit scoring models with alternative data sources. A psychometric-based credit scoring model was developed and tested. Despite limited data, significant potential findings were obtained. However, clarification of the distinction between credit payment intention and ability and validation of the results with more data are necessary.
Description
Keywords
Credit scoring, Psychometric data, Alternative data sources
Turkish CoHE Thesis Center URL
Fields of Science
Citation
Filiz, G., Nicat, Ş., Şahin, T., Özvural, Ö. G., & Çakar, T. (2023, July). Alternative Data Sources and Psychometric Scales Supported Credit Scoring Models. In 2023 31st Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
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N/A
Source
2023 31st Signal Processing and Communications Applications Conference (SIU)
Volume
Issue
Start Page
1
End Page
4
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Citations
Scopus : 2
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Mendeley Readers : 5
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0.59054323
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