Mathematical Models in Financial Engineering and Risk Analysis

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E5: Financial Mathematics".

Deadline for manuscript submissions: 20 April 2026 | Viewed by 22

Special Issue Editor


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Guest Editor
1. School of Economics and Management, Nanjing Tech University, Nanjing 211816, China
2. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
Interests: financial engineering and risk management; clean energy finance and safety management; big data modeling and decision optimization

Special Issue Information

Dear Colleagues,

Applied mathematics is an interdisciplinary field that utilizes mathematical theories and methods to solve practical problems, aiming to optimize real-world decision-making through modeling, analysis, and computation. Its core value lies in providing rigorous quantitative tools to enhance prediction accuracy, reduce uncertainty, and propel technological and economic advancement—particularly in achieving efficient resource allocation and risk control within complex systems. Key theoretical approaches include differential equations (modeling dynamic systems), optimization theory (e.g., linear programming for optimal solutions), probability and statistics (managing randomness), operations research (resource scheduling), and game theory (analyzing strategic interactions). In practice, it is extensively applied in financial engineering (e.g., portfolio optimization and derivative pricing) and artificial intelligence (e.g., machine learning algorithms), significantly improving decision efficiency and system robustness, thus serving as an indispensable cornerstone of modern innovation.

This Special Issue of Mathematics aims to systematically collect the latest application progress of applied mathematical theories and their methods in the fields of financial engineering, financial risk management, and financial risk measurement. Given that the cutting-edge development of financial engineering and risk management driven by artificial intelligence is facing many new challenges, we invite scholars to submit research papers that use the cutting-edge applied mathematics theories to in-depth exploration and solve related practical problems to promote innovation and practice in this field.

Prof. Dr. Tingqiang Chen
Guest Editor

Manuscript Submission Information

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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

  • financial engineering
  • energy finance
  • risk management
  • asset pricing
  • financial technology
  • AI finance

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Published Papers

This special issue is now open for submission.
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