Mathematical and Computational Methods in Financial and Risk Forecasting
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E5: Financial Mathematics".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 550
Special Issue Editors
Interests: intelligent finance; banking operation and management; risk analysis
Special Issues, Collections and Topics in MDPI journals
Interests: research methods; data science and AI; service market and management; FINTECH; performance evaluation
Interests: financial econometrics; investment management; decision science; risk analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to this Special Issue, which focuses on the integration of advanced mathematical and computational techniques in financial innovation and risk management. The rapid evolution of blockchain technology and the cryptocurrency market has transformed financial asset management, introducing new complexities and challenges. Understanding the risk characteristics and opportunities arising from the convergence of traditional and digital finance is an essential area of academic and practical inquiries. This Special Issue addresses these developments and their implications for portfolio management, risk assessment, and regulatory compliance.
Moreover, it aims to advance our knowledge in applying mathematical and computational methods to financial and risk management challenges. It aligns with the journal’s focus on combining theoretical and practical insights to solve real-world problems. Topics of interest include innovative models and algorithms for portfolio optimization, derivative pricing, and financial econometrics. Contributions emphasizing interdisciplinary approaches that integrate finance, mathematics, computer science, and data analytics are particularly encouraged.
In this Special Issue, we welcome original research articles and reviews that explore, but are not limited to, the following themes:
- Derivative pricing and trading strategies;
- Portfolio optimization and ETF analysis;
- Risk analytics and forecasting in finance;
- Artificial intelligence and machine learning applications;
- Computational methods in financial innovation;
- Digital asset management.
We look forward to receiving your contributions.
Prof. Dr. Kuang-Hsun Shih
Prof. Dr. Shu-Ping Lin
Prof. Dr. Yi-Hsien Wang
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 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. 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.
Keywords
- machine learning
- cryptocurrency
- financial risk forecasting
- derivative pricing
- portfolio optimization
- computational finance
- artificial intelligence
- intelligent banking and finance
- digital asset management
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