The Journal of Finance Data Science (JFDS) is the leading analytical journal on finance and data science. Providing detailed analyses of theoretical and empirical foundations and their applications in financial economics.
“The journal represents an acknowledgement and embracing of the increasing role that data science and related fields of inquiry play in the financial industry and quantitative asset management.”
This peer-reviewed journal covers research activity in the areas of data science – big data analytics, artificial intelligence, machine learning and cognate areas, as they are applied in asset management. Within the journal you will find high-quality articles, from industry leading experts in the field. Furthermore, the new ideas the articles present, aim to challenge the traditional way of thinking about finance, the economy and investing. In addition, providing readers with actionable solutions to the practical problems faced by the investment management community.
Moreover, the mission of the journal is to bring data science professionals the best research. At the intersection of investment practice and data science. And lastly, providing a forum for practitioners and academics to disseminate their research results to the financial community.
The Journal of Financial Data Science
Ai & Quant Conference 2022 Hosted By MIT Sloan Quantitative Finance Club
