Artificial Intelligence in Financial Markets and Computational Finance
A special issue of Journal of Risk and Financial Management (ISSN 1911-8074). This special issue belongs to the section "Financial Technology and Innovation".
Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 2188
Special Issue Editor
Interests: computational finance; machine learning; big data; investment and risk management; operations research
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As the financial industry increasingly relies on data and technology, artificial intelligence (AI) and machine learning have been transforming key processes such as investment decision making, portfolio optimization, financial forecasting, algorithm trading, risk management, and so on; however, to fully realize the potential of AI in advancing financial market development, further interdisciplinary research is needed.
This Special Issue therefore aims to contribute novel insights to the application of various AI technologies in the financial industry and their impacts through enhanced scientific and multidisciplinary research. We welcome submissions that analyze innovative technical developments, provide reviews, and offer analytical or assessment papers integrating AI within financial markets and computational finance from diverse disciplinary perspectives. Topics of interest include, but are not limited to, AI applications in investment and trading, natural language processing, macro and systematic risk prediction, financial derivative pricing, the AI-powered personalization of banking, mechanisms of trading venues, investor behavior analysis, fraud detection, cryptocurrency, big data finance, and more.
We invite original research that explores the applications and impacts of artificial intelligence in financial markets and computational finance. The goals of this Special Issue are to advance the understanding of the evolving role of AI in financial markets and shed light on its capacity to reshape the development of computational finance. By critically evaluating successes, limitations, and open questions, this collection aims to offer a comprehensive analysis of AI’s growing influence and its significance as a driver of financial market growth.
Dr. Wei Li
Guest Editor
Manuscript Submission Information
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Keywords
- computational finance
- algorithm trading
- machine learning
- big data finance
- financial forecasting
- derivative pricing
- risk management
- cryptocurrency
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