About the Journal

Global Financial Analytics Research Review is an international open-access, peer-reviewed academic journal dedicated to publishing high-quality research in quantitative finance, financial analytics, econometrics, financial technology, risk management, and computational methods in economics and finance. The journal aims to provide a global platform for researchers, academics, and industry professionals to share innovative theories, analytical frameworks, and practical applications that contribute to the advancement of modern financial systems and intelligent financial decision-making.

The journal welcomes original research articles, review papers, case studies, and interdisciplinary studies related to, but not limited to, the following areas:

• Financial Analytics and Data Science
• Quantitative Finance and Econometrics
• Artificial Intelligence and Machine Learning in Finance
• Financial Risk Modeling and Forecasting
• Asset Pricing and Portfolio Optimization
• Blockchain and Financial Technology (FinTech)
• Algorithmic Trading and Market Microstructure
• Banking, Insurance, and Financial Regulation
• Big Data Applications in Financial Markets
• Computational Economics and Decision Systems

All submissions undergo a rigorous double-blind peer review process to ensure academic integrity, originality, technical quality, and relevance to the journal’s scope. The journal is committed to maintaining ethical publishing standards and follows internationally recognized publication ethics and best practices.

Global Financial Analytics Research Review operates under an open-access publishing model, allowing readers worldwide to access published content freely without subscription barriers. Authors retain copyright of their work while granting the journal the right of first publication.

The journal is published quarterly and is managed by an international editorial team composed of scholars, researchers, and professionals from universities, research institutes, and industry organizations. The editorial board covers expertise in finance, artificial intelligence, econometrics, statistics, computer science, and applied analytics.

The journal also supports long-term digital preservation and aims to increase the visibility and accessibility of published research through international indexing, academic databases, and archiving initiatives.