Applications of Machine Learning in Finance
A Special Issue of International Journal of Financial Studies (ISSN 2227-7072).
Deadline for manuscript submissions: 10 June 2027 | Viewed by 727
Editor
Special Issue Information
Dear Colleagues,
Machine learning is rapidly transforming financial research by providing flexible, data-driven tools for modeling complex, nonlinear, and high-dimensional financial systems. At the same time, finance offers a distinctive environment in which prediction, inference, interpretability, and economic reasoning must be jointly considered. This Special Issue, “Applications of Machine Learning in Finance”, aims to bring together high-quality theoretical, methodological, and empirical studies that advance the use of machine learning in financial studies.
We welcome contributions that integrate machine learning with financial econometrics, including asset pricing, volatility modeling, risk measurement, portfolio optimization, credit risk, systemic risk, financial networks, and stress testing. Particular interest is given to studies that combine modern machine learning and deep learning methods with econometric identification, causal inference, panel data models, high-frequency data analysis, and robust statistical inference. We also encourage the submission of research on machine-learning-based financial market prediction, including stock, bond, commodity, cryptocurrency, derivative, and future markets, as well as studies using alternative data, textual information, news sentiment, social media, ESG data, and transaction-level records.
Beyond prediction accuracy, we are especially interested in papers that address interpretability, model uncertainty, robustness, generalization under market regime changes, and responsible AI in financial decision-making. Empirical applications that generate new financial insights, improve risk management, support regulatory technology, or inform investment and corporate financial decisions are highly encouraged. Both original research articles and review papers are welcome.
Prof. Dr. Hanwen Ning
Guest Editor
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. Manuscripts can be submitted until the deadline. 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 special issue 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. International Journal of Financial Studies 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 1800 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
- machine learning in finance
- financial econometrics
- financial market prediction
- asset pricing
- volatility forecasting
- risk management
- portfolio optimization
- causal inference in finance
- alternative financial data
- explainable AI in finance
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