An Empirical and Statutory Analysis of Emerging Economic Frauds in the Banking Sector

Abstract

The rapid digitization of the banking sector has revolutionized global economic infrastructure, replacing manual transactions with automated clearing ecosystems, instant digital payments, and open banking solutions. However, this transformation has concurrently introduced sophisticated vectors for financial crime. This paper provides an in-depth empirical and legal analysis of emerging economic frauds within the banking industry. Utilizing a mixed-methods research design analyzing secondary financial data from the Reserve Bank of India (RBI) and empirical survey responses from 200 banking professionals, this study investigates the structural shift from conventional forgery to complex cyber-enabled economic offenses.
The empirical findings reveal that while Public Sector Banks (PSBs) exhibit the highest total volume of historic fraud cases (16,978 cases between 2018 and 2022), modern digital platforms like Payments Banks demonstrate an alarming Compound Annual Growth Rate (CAGR) of 77.83% in fraud occurrences. Furthermore, descriptive statistical analysis shows that credit advances remain the most volatile operating division, commanding the highest standard deviation (INR 22,558 crores) in financial losses. Statistically, forensic accounting indicators such as the siphoning of funds and undervalued related-party transactions emerge as critical markers for intentional financial disruptions.
The study rigorously evaluates the statutory efficacy of the Banking Regulation Act, 1949, the Companies Act, 2013, and the Prevention of Money Laundering Act (PMLA), 2002. The paper demonstrates that rigid regulatory compliance framework deployment serves as a substantial deterrent to institutional asset diversion. Ultimately, this research recommends shifting from reactive manual control frameworks toward proactive, AI-driven machine learning models, zero-trust data architectures, and enhanced inter-institutional whistleblowing protections to mitigate contemporary systemic macro-economic risks.

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