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Artificial Intelligence in Finance provides a platform to discuss the significant impact that financial data science innovations, such as big data analytics, artificial intelligence and blockchains have on financial processes and services, leading to data driven, technologically enabled financial innovations (fintechs, in short). Financial technologies are leading to new financial products and services that improve user experience and customer engagement, increase performance and reduce costs. In addition, fintechs can facilitate technology compliance and financial supervision, by means of through a common risk management framework. Leveraging on the digitalisation of financial products, financial technologies also allow more transparent and accessible services, within the context of a digital society. The section welcomes foundational and applied papers from a wide range of topics underpinning financial data science methods and financial technologies and explores emerging cross-disciplinary themes. It particularly encourages collaboration between universities and research centers, fintechs and financial companies, regulators and supervisors, building a common innovation ecosystem. Specifically, we welcome papers on:
Indexed in: CLOCKSS, CrossRef, Digital Biography & Library Project (dblp), DOAJ, Google Scholar, OpenAIRE, PubMed Central (PMC), Scopus, Web of Science Emerging Sources Citation Index (ESCI)
Artificial Intelligence in Finance welcomes submissions of the following article types: Brief Research Report, Conceptual Analysis, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Policy and Practice Reviews, Review, Systematic Review and Technology and Code.
All manuscripts must be submitted directly to the section Artificial Intelligence in Finance, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
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