IMMIGRATIONS AND MONEY FLOW DISTURBANCE IN BANKING SYSTEMS: A FRAMEWORK FOR EFFICIENT DETECTION, CODING AND ANALYSIS
DOI:
https://doi.org/10.71146/kjmr1031Keywords:
immigration, financial issues, coding detection, banking systemAbstract
Global immigration drives significant cross-border financial movements, notably through remittances, which impact macroeconomic stability and banking system operations. However, the lack of transparent tracking mechanisms often leads to money flow disturbances, characterized by inefficiencies, systemic friction, and diminished institutional trust. This paper proposes a novel framework utilizing efficient detection coding languages to identify, monitor, and mitigate these disturbances in banking systems. By integrating algorithmic detection with economic theories of immigration, this research provides a scalable approach to restoring trust and operational efficiency in transnational financial networks.
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References
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Copyright (c) 2026 Dr Anum Ali, Muhammad Waqas Younis, Rafaqat Alam Khan (Author)
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