Mathematical Modelling in Financial Economics
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 1047
Special Issue Editor
Interests: urbanization and energy consumption; energy economics; financial economics; asset pricing and risk measure; dynamic stochastic general equilibrium; big data and its application in economics; stochastic computing
Special Issue Information
Dear Colleagues,
At present, the global economic and financial landscape is undergoing profound changes. The global financial crisis, COVID-19, war, and various disasters around the world have made the financial market more uncertain, and the global financial market is experiencing new models and changes. The deepening of the uncertainty of the financial market requires the academic circle to conduct profound research and theoretical exploration of the financial market and put forward new requirements for the mathematical model research in financial economics in order to improve the understanding of the financial market and financial institutions. Under uncertainty, mathematical modelling in financial economics involves the use of mathematical techniques to analyse risk evaluation, price securities, and the allocative efficiency of the market; estimate the potential impacts of events and policy on the market; and make informed investment decisions. It covers mathematical modelling topics in financial economics, such as probability and statistics, stochastic analysis, partial differential equations, numerical computation, financial econometrics, AI, and big data models.
The primary aim of this Special Issue is to bring together original research discussing innovative efforts on mathematical modelling in financial economics. Submissions showcasing the latest developments in theoretical analysis models, numerical modelling and computation, AI, and big data methods are welcome.
Prof. Dr. Wei Chen
Guest Editor
Manuscript Submission Information
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Keywords
- theoretical analytical methods
- stochastic methods
- numerical modelling methods
- AI modelling and simulation
- big data methods
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