Analysis Of Machine Learning and Artificial Intelligence In Finance: Growth And New Trends
Abstract/Description
The paper exhibits the application and usefulness of machine learning (ML) and artificial intelligence (AI) state of art in the field of applied finance. Using the large volume of data, bibliometric review has been done. The published articles (in number 540) within the domain of economics and finance from the year 2010 to 2022 have been extracted from the core collection of Web of Science (WOS). VOSViewer – data visualization application has been operated for extracting; the trends in machine learning and/or artificial intelligence in finance, the most influential authors, the most influential documents, the most influential sources/journals, the most influential countries, the most influential organizations based on citations and the four research streams have also been developed for future research. The trend exhibits an inclination toward scholarly publications in the domain of bankruptcy, block chain, portfolio management, and anti-money laundering (AML). The top three countries contributors to the main research are the United States, China, and the United Kingdom. Our finding provides real-world guidance for the overall financial system (financial instruments, markets, institutions and central banks) on how to use AI and ML in decision-making for managing international finance.
Keywords
Track
Finance
Session Number/Theme
4A: Finance
Session Chair
Dr. Saqib Sharif ; Dr. Mujeeb Bhayo
Start Date/Time
31-5-2024 9:00 AM
End Date/Time
31-5-2024 10:30 AM
Location
MCS – 3 AMAN CED Building
Recommended Citation
Amin, M., Ahmed, F., & Baig, M. M. (2024). Analysis Of Machine Learning and Artificial Intelligence In Finance: Growth And New Trends. 3rd IBA SBS International Conference 2024. Retrieved from https://ir.iba.edu.pk/sbsic/2024/program/44
COinS
Analysis Of Machine Learning and Artificial Intelligence In Finance: Growth And New Trends
MCS – 3 AMAN CED Building
The paper exhibits the application and usefulness of machine learning (ML) and artificial intelligence (AI) state of art in the field of applied finance. Using the large volume of data, bibliometric review has been done. The published articles (in number 540) within the domain of economics and finance from the year 2010 to 2022 have been extracted from the core collection of Web of Science (WOS). VOSViewer – data visualization application has been operated for extracting; the trends in machine learning and/or artificial intelligence in finance, the most influential authors, the most influential documents, the most influential sources/journals, the most influential countries, the most influential organizations based on citations and the four research streams have also been developed for future research. The trend exhibits an inclination toward scholarly publications in the domain of bankruptcy, block chain, portfolio management, and anti-money laundering (AML). The top three countries contributors to the main research are the United States, China, and the United Kingdom. Our finding provides real-world guidance for the overall financial system (financial instruments, markets, institutions and central banks) on how to use AI and ML in decision-making for managing international finance.
