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https://hdl.handle.net/20.500.11779/1957| Title: | Alternative Data Sources and Psychometric Scales Supported Credit Scoring Models | Authors: | Filiz, Gözde Nicat, Şahin Şahin, Türkay Özvural, Özden Gebizlioğlu Çakar, Tuna |
Keywords: | credit scoring alternative data sources psychometric data |
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://hdl.handle.net/20.500.11779/1957 https://doi.org/10.1109/SIU59756.2023.10223937 |
ISBN: | 979-8-3503-4355-7 | 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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| File | Description | Size | Format | |
|---|---|---|---|---|
| Alternative_Data_Sources_and_Psychometric_Scales_Supported_Credit_Scoring_Models.pdf Until 2040-01-01 | Full Text- Article | 400.82 kB | Adobe PDF | View/Open Request a copy |
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