Aims and Scope

FMDB Journal of Sustainable Finance and Data Science (FTSFDS), which offers in-depth assessments of theoretical and empirical underpinnings and their applications in financial economics, is the top analytical publication in finance and data science. Data-scientific measurements of variables important to financial decision-making and financial service, the econometrics of financial market data, and the development of a new econometric methodology with financial applications are all published by FTSFDS. Additionally, FTSFDS offers readers improved data treatment for use in practical finance products and methods, along with results-oriented computer hardware and software solutions. Modern state-of-the-art computer scientific approaches have progressed as a result of big data financial and economic analytics, posing new issues, and computer data science has, in turn, produced vital tools for 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. 
• Examples and thorough assessments of crucial data 
• 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 research topics 
• Financial algorithm trading and high-frequency trading