Manuscript Topics

Data science is an emerging and growing field that utilizes scientific methods and algorithms to extract potential information and insights from data sets. Data science has critical applications in finance and economics. Application of data science technology in finance has been a popular topic. Data methodology plays a key role in data science. We need effective and correct methods in data analysis to reach our objectives. This special issue focus on collecting articles that apply various data methods to analyze financial data. Articles that design innovative methods for treating special financial data are encouraged. Thus, topics include theory and application on data methodology in finance.

Data Science in Finance and Economics (DSFE) aims to advance and promote data science methods, computing, and applications in finance and economics where knowledge and insights are to be extracted from data. Due to the increasing popularity of this topic, world-wide interest in the work performed by researchers in this area is constantly expanding.

We welcome submissions that address issues related to (but not limited) to the following topics:
• quantitative investment
• high-frequency trading
• algorithmic trading
• machine learning
• data methodology
• financial economics

Instruction for Authors
https://www.aimspress.com/dsfe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/