Mathematical Methods and Analysis in Risk and Financial Management
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E5: Financial Mathematics".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 1869
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue on “Mathematical Methods and Analysis in Risk and Financial Management” aims to provide a comprehensive overview of the latest advances in machine learning methods and their applications in risk and financial management. The focus of this Special Issue is on the development and implementation of these models for the analysis of financial and economic risk in various financial and economic systems that cover credit risk, market risk, operational risk, and liquidity risk, among others.
Keywords related to this topic include data processing, machine learning, natural language processing, AI algorithms, expected loss, credit risk, market risk, operational risk, liquidity risk, financial and economic systems, mathematical models, computational tools, and financial engineering.
This Special Issue will be of great interest to researchers, practitioners, and scholars in the fields of finance, mathematics, economics, and other related fields who are concerned with the development and application of innovative mathematical methods for the analysis of financial and economic risk. It is expected to provide valuable insights into risk and financial management by showcasing the latest research, developments, and trends in this field.
Prof. Dr. Ali Hirsa
Guest Editor
Manuscript Submission Information
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