How Banks Can Leverage Credit Risk Evaluation to Improve Financial Performance
Author
Abstract
Suggested Citation
DOI: 10.37945/cbr.2022.09.07
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References listed on IDEAS
- Alice Francesca Sproviero, 2020. "Integrated reporting and the epistemic authority of Big Data: An exploratory study from the banking industry," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2020(2), pages 99-124.
- T. Robert Yu & Xuehu Song, 2020. "Big Data and Artificial Intelligence in the Banking Industry," World Scientific Book Chapters, in: Cheng Few Lee & John C Lee (ed.), HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING, chapter 117, pages 4025-4041, World Scientific Publishing Co. Pte. Ltd..
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Cited by:
- Akhter Salahuddin MOHAMMED, 2022. "How Analytics Creates Strategic Business Value: Perspectives from French MNCs," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(11), pages 65-72, November.
- Mohammad BIN HAMMAM & Salatun-Nisa KHAYEB & Abdullah Abu MUHTABIYEN, 2023. "Role of Analytics in Shaping the Supply Chain Industry in the Middle East," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(12), pages 66-72, December .
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More about this item
Keywords
credit risk; financial performance; commercial banks;All these keywords.
JEL classification:
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
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