Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1957
Title: Alternative Data Sources and Psychometric Scales Supported Credit Scoring Models
Authors: Şahin, Türkay
Filiz, Gözde
Çakar, Tuna
Özvural, Özden Gebizlioğlu
Nicat, Şahin
Keywords: Credit scoring
Psychometric data
Alternative data sources
Publisher: IEEE
Source: 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.
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.
URI: https://doi.org/10.1109/SIU59756.2023.10223937
https://hdl.handle.net/20.500.11779/1957
ISBN: 9798350343557
ISSN: 2165-0608
Appears in Collections:Bilgisayar Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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