Mathematical Models and Data-Driven Algorithms for Solving Economic Problems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E5: Financial Mathematics".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 76
Special Issue Editors
Interests: financial-economic analysis; financial health evaluation; identification of discrepancies in company accounting
Interests: data analysis; statistical analysis; econometrics; counterfactual evaluations; financial derivatives
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mathematical modelling and sophisticated data-driven algorithms are increasingly essential for the resolution of intricate economic and financial issues. Conventional approaches, rooted in classical econometrics and optimization, are increasingly incorporating methods from applied mathematics, operations research, statistics, and computational intelligence. Stochastic modelling, dynamic optimization, game theory, network analysis, time series forecasting, and machine learning are all effective methods for capturing the interdependence, nonlinearity, and uncertainty that are present in contemporary economies. Data-driven methodologies, such as clustering, classification, anomaly detection, and simulation-based approaches, are simultaneously transforming the analysis, prediction, and interpretation of economic phenomena.
The objective of this Special Issue is to compile exceptional contributions that address economic and financial challenges by introducing and implementing mathematical models and algorithmic approaches. The subjects include policy design, risk management, algorithmic trading, sustainable business models, decision-making under uncertainty, and predictive analytics for markets, among others. Theoretical advancements and empirical applications are both encouraged, with a particular emphasis on those that illustrate the potential of innovative algorithms and rigorous mathematical tools to address real-world economic challenges.
We extend an invitation to researchers from academia and industry to submit their original and unpublished work, thereby promoting an interdisciplinary dialogue at the intersection of data science, economics, and mathematics.
Dr. Roman Blazek
Dr. Lucia Ďuricová
Guest Editors
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
- algorithmic economics
- hybrid modelling approaches
- data-centric modelling
- explainable AI in economics
- adaptive market dynamics
- sustainable decision algorithms
- prescriptive analytics
- real-time economic analytics
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