Mathematical Models and Data-Driven Algorithms for Solving Economic Problems

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We extend an invitation to researchers from academia and industry to submit their original and unpublished work, thereby promoting an interdisciplinary dialogue at the intersection of data science, economics, and mathematics.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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

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.