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ISSN 2063-5346
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A SURVEY OF ACCOUNTING FRAUD IN PUBLICLY TRADED FIRMS USING A MACHINE LEARNING APPROACH

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Siddharth Nanda1 , Dr. Vinod Moreshwar Vaze2
» doi: 10.48047/ecb/2023.12.Si8.700

Abstract

Financial statement fraud has been a major trouble for “audit firms, investors, government regulators, and other capital market stakeholders”. Moreover, this compromises the trustworthiness of financial markets, CEOs, and even the audit profession. Auditors are confronted with their obvious incapacity to identify large-scale fraud, which may be detected in a variety of ways

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