Machine Learning and Finance

Dear Colleagues,

This Special Issue aims to provide a comprehensive overview of the latest advancements in machine learning methods for finance, emphasizing the critical role of stochastic analysis techniques and the utilization of real financial data. In an era characterized by increasingly complex financial markets and vast amounts of available data, the integration of machine learning methodologies has become paramount for effectively analyzing and navigating the intricacies of financial systems.

This initiative seeks to foster interdisciplinary collaboration between machine learning experts, finance professionals, and data scientists, aiming to explore innovative approaches for addressing contemporary challenges in finance. Topics of interest include, but are not limited to, predictive modelling for market trends, risk assessment and management strategies, algorithmic trading, credit risk modelling, fraud detection, mean field games applications in finance, sentiment analysis, and portfolio optimization.

We particularly welcome submissions that explore innovative approaches to explainable AI (XAI) within the context of finance. Authors are encouraged to address the interpretability, transparency, and trustworthiness of their machine learning models, providing insights into the decision-making process and the factors driving model predictions.

Through this Special Issue, we aim to provide a platform for researchers and practitioners to exchange ideas, share insights, and contribute to the advancement of knowledge at the intersection of machine learning and finance. By showcasing cutting-edge research and innovative methodologies, we strive to facilitate the development of robust and reliable solutions that can enhance decision-making processes and drive positive outcomes in the financial industry.

Authors are invited to submit original research articles, review papers, and case studies that contribute to advancing machine learning methods in finance. 

We look forward to hearing from you.

Dr. Luca Di Persio
Dr. Matteo Garbelli
Guest 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. 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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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.