Computational Methods and Models in the Financial Risk Management Process
A special issue of Risks (ISSN 2227-9091).
Deadline for manuscript submissions: 10 September 2025 | Viewed by 65
Special Issue Editor
Interests: machine learning; portfolio optimization; Bayesian networks; network analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The increasing complexity of the financial context poses challenging issues that are particularly well suited to be managed using machine learning algorithms.
This Special Issue focuses on state-of-the-art applications in financial markets, with particular attention to all aspects of the risk management process. We therefore welcome and encourage high-quality contributions focused on these areas, including (but not limited to) the following:
- Asset pricing;
- Big data analytics;
- Financial data mining;
- Commodity markets;
- Term structure models;
- Trading systems;
- Hedging strategies;
- Actuarial mathematics;
- Deep learning and artificial neural networks;
- Fuzzy sets, rough sets, and granular computing;
- Hybrid systems;
- Support vector machines.
Dr. Marina Resta
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Risks 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
- risk management
- data analytics
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