Advancements in computer-aided audit technologies: Impact on loan asset quality in banking
1 Nigeria Deposit Insurance Corporation, Nigeria.
2 Independent Researcher, Lagos.
3 Stanbic IBTC Insurance Limited, Nigeria.
4 IHS Towers Nigeria Plc, Nigeria.
5 Independent Researcher, Abuja, Nigeria.
Review Article
World Journal of Advanced Research and Reviews, 2023, 20(03), 876–887
Publication history:
Received on 05 November 2023; revised on 12 December 2023; accepted on 15 December 2023
Abstract:
The banking sector continually adapts to technological advancements, and computer-aided audit technologies (CAATs) play a pivotal role in enhancing operational efficiency and risk management. This study explores the impact of CAATs on loan asset quality in banking, investigating how these technologies contribute to the identification, assessment, and mitigation of risks associated with loan portfolios. The research delves into the integration of advanced data analytics, artificial intelligence, and machine learning within audit processes, examining their effectiveness in evaluating loan asset quality. Through a comprehensive review of case studies and industry-specific implementations, the study aims to elucidate the practical implications and outcomes of deploying CAATs in banking audits. Key focus areas include the ability of CAATs to detect early warning signs of potential credit risks, assess the accuracy of loan data, and streamline audit workflows. The study also evaluates the role of these technologies in enhancing regulatory compliance, reducing audit cycle times, and improving the overall reliability of financial reporting related to loan portfolios. By understanding the impact of CAATs on loan asset quality, this research contributes valuable insights to banking professionals, auditors, and policymakers seeking to harness the benefits of technological advancements in ensuring the integrity and stability of loan portfolios within the financial landscape.
Keywords:
Computer-Aided; Audit Technologies; Loan; Quality Banking; Review; CAAT
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0