Special Issue: Advanced mathematical approaches in financial mathematics

Guest Editor

Prof. Geonwoo Kim
School of Liberal Arts, Seoul National University of Science and Technology (SEOULTECH) Seoul, South Korea
Email: geonwoo@seoultech.ac.kr

Manuscript Topics

This special issue covers research at the intersection of mathematics and finance, focusing on:
Mathematical Methods in Finance
Portfolio Theory and Asset Management
Advanced Computational Approaches
Risk Analysis and Management


As financial markets grow increasingly complex and uncertain, the role of mathematical modeling and analysis has become more crucial than ever. This special issue aims to explore the diverse aspects of financial mathematics, from stochastic differential equations and partial differential equations to numerical methods and probabilistic approaches.


We introduce innovative mathematical frameworks addressing contemporary financial challenges, spanning from theoretical advances in measure theory to computational techniques in high-dimensional optimization.


Topics of interest include, but are not limited to:


Derivative pricing  
Risk management  
Portfolio optimization  
Market prediction and risk assessment


While highlighting applications of numerical analysis, machine learning algorithms, and Monte Carlo methods. By fostering collaboration between academia and industry, we seek to bridge the gap between theoretical developments and practical applications in financial mathematics, ultimately contributing to more robust quantitative methodologies for modern financial systems.


Instructions for authors
https://www.aimspress.com/nhm/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 30 June 2026

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