European Journal of Financial Technology

Description

The European Journal of Financial Technology is an open access journal and published by New York Business Global LLC. Open Access which is a paradigm shift in scholarly publishing means you can publish your research so it is free to access online as soon as it is published, that is, anyone can read (and circulate) freely and cite your work. Many funding agencies mandate publishing your research open access. The journal publishes quarterly and maintain the highest ethical standards of scientific research. All manuscripts follow a double-blind peer review process meaning that both authors and referees are anonymous.

Aims and Scope

The aim of the journal is to provide empirical, theoretical and survey researches on all aspects of financial technology (FinTech). Financial Technology is a combination of financial systems, data management and technology. • Algorithmic Trading (The Mathematics of Algorithmic Trading, Global Trends in Algorithmic Trading, Lifecycle of Algorithmic Trading) • Big data developments in FinTech practice and application • Blockchain • Business startup planning • Cloud security • Cloud systems • Crowd funding • Cyber Security Technology, Applications and Data protection • Data analytics, Machine Learning and Financial applications • Econophysics • Financial Analytics • Financial Market Product life Cycle Development and Implementation • Fintech Application development • Fund Raising • Information Systems • Innovation management and disruptive technology • Investment regulation and ethics • Manipulating data and Scripting in Python • Mobile Banking • Operational security • Professionalism, regulation and ethics in banking • Quantitative risk, • Raising venture capital • Regulation • Risk and Costs in Algorithmic Trading • Risk management, • Theoretical cryptography

Aims and Scope

The aim of the journal is to provide empirical, theoretical and survey researches on all aspects of financial technology (FinTech). Financial Technology is a combination of financial systems, data management and technology. • Algorithmic Trading (The Mathematics of Algorithmic Trading, Global Trends in Algorithmic Trading, Lifecycle of Algorithmic Trading) • Big data developments in FinTech practice and application • Blockchain • Business startup planning • Cloud security • Cloud systems • Crowd funding • Cyber Security Technology, Applications and Data protection • Data analytics, Machine Learning and Financial applications • Econophysics • Financial Analytics • Financial Market Product life Cycle Development and Implementation • Fintech Application development • Fund Raising • Information Systems • Innovation management and disruptive technology • Investment regulation and ethics • Manipulating data and Scripting in Python • Mobile Banking • Operational security • Professionalism, regulation and ethics in banking • Quantitative risk, • Raising venture capital • Regulation • Risk and Costs in Algorithmic Trading • Risk management, • Theoretical cryptography
Journal Short Name

EJFT

Editorial Board Members