AI and Data-Driven Quantitative Finance
A topical collection in Journal of Risk and Financial Management (ISSN 1911-8074). This collection belongs to the section "Financial Technology and Innovation".
Viewed by 27Editors
Interests: mathematical and empirical finance; probability metrics; mass transportation problems
Special Issues, Collections and Topics in MDPI journals
Interests: financial time series; multivariate analysis; statistical diagnostics
Special Issues, Collections and Topics in MDPI journals
Topical Collection Information
Dear Colleagues,
This Special Issue would focus on the rapidly expanding role of artificial intelligence, machine learning, and data-driven methodologies in quantitative finance. Topics may include asset pricing, portfolio optimization, risk management, algorithmic trading, reinforcement learning, explainable AI, large language models in finance, financial forecasting, market microstructure, alternative data, and financial decision-making under uncertainty. We would welcome both theoretical and empirical contributions, as well as interdisciplinary research connecting statistics, econometrics, computer science, and financial economics. Particular emphasis would be placed on robust and interpretable AI systems capable of operating under market instability, heavy tails, structural breaks, and model uncertainty. Contributions addressing regulatory implications, ethical considerations, and practical implementation challenges are also encouraged. The objective is to provide a comprehensive forum for advancing next-generation quantitative methods that combine financial theory with modern computational intelligence.
Prof. Dr. Svetlozar (Zari) Rachev
Dr. Shuangzhe Liu
Collection Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Risk and Financial Management is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Artificial intelligence (AI)
- machine learning
- deep learning
- large language models (LLMs)
- generative AI
- quantitative finance
- financial econometrics
- financial mathematics
- computational finance
- asset pricing
- portfolio optimization
- portfolio management
- risk management
- financial time series
- volatility modelling
- stochastic processes
- uncertainty quantification
- reinforcement learning
- explainable AI (XAI)
- algorithmic trading
- market microstructure
- alternative data
- financial forecasting
- distributionally robust optimization
- optimal transport
- tail risk
- systemic risk
- digital finance
- financial decision-making
