Aims and Scope

FMDB Transactions on Sustainable Finance and Data Science (FTSFDS) is a leading analytical publication at the intersection of finance and data science. It provides rigorous insights into both the theoretical foundations and empirical applications of financial economics. The journal emphasizes data-driven approaches to financial decision-making, including advanced measurement of key financial variables, econometric analysis of financial market data, and the development of innovative methodologies with practical financial applications. FMDB Transactions on Sustainable Finance and Data Science (FTSFDS) also promotes improved data treatment techniques that enhance the design and implementation of financial products and services. In addition, it highlights results-oriented advancements in computational tools, including both hardware and software solutions tailored for financial analytics. With the rapid growth of big data in finance and economics, modern computational and data science methods have evolved significantly, introducing new challenges and opportunities. In response, FTSFDS showcases cutting-edge research that leverages these advancements, offering powerful tools and frameworks that support more accurate, efficient, and insightful financial analysis.

Topics include, but are not limited to, the following areas:

• Applications of theoretical findings to data 
• Science-related practical issues 
• Currently available practical data science 
• Applications in financial economics 
• Data science is used to model new financial products. 
• Data Management & Processing/Computational Finance Tools
• Science developments for financial economics 
• Financial software and technology should be innovative. 
• Data science views theoretical and empirical financial results 
• Financial services industry case studies, 
• Data science-related financial economics 
• Conventional financial/Financial Technology (FinTech)
• Financial algorithm trading and high-frequency trading