Advanced Methods in the Mathematical Modeling of Economics, Econometrics, and Financial Management, 2nd Edition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E5: Financial Mathematics".
Deadline for manuscript submissions: 30 June 2026
Special Issue Editors
Interests: corporate finance; financial management; economic statistics; qualitative and quantitative research
Special Issues, Collections and Topics in MDPI journals
Interests: international financial markets; behavioural decision making; risk modeling; risk analysis; financial statistics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is a continuation of our previous Special Issue, entitled “Advanced Methods in the Mathematical Modeling of Economics, Econometrics, and Financial Management”. Mathematical modeling is fundamental academic matter for covering the endless drivers of change in economics. But it also provides a preferred tool for economic development, sustainable business finance, and prosperous corporate life. These facts are supported by the conclusions of worldwide surveys and studies. The appropriate methods are run to select the best solutions or gain a competitive advantage for the enterprises, as well as for the countries. Many entities use econometric modeling to identify and forecast results in detail, rather than vaguely without relationships and bonds. Comprehensive financial views may accelerate effective decisions for all the parties involved. Then, information asymmetry is reduced to achieve benefits and emphasize their impact. Executives can protect key sources that are needed for crucial economic issues and innovation. Managers increase the probability of achieving financial goals, especially expected earnings or avoiding bankruptcy. Thus, this Special Issue focuses on the use of advanced methods of mathematical modeling for the topics presented and reviews recent methods used to face the challenges of business model transformation and the optimization of corporate finance. Issues also include how to adapt to new industries, products, ideas, and other parts of the global market and still be profitable.
We encourage researchers to submit original manuscripts that address the methods related to the theory and application of mathematical modeling in economics, econometrics, and financial management. Each contribution must include a unique research strategy and approach.
Dr. Pavol Durana
Dr. Katarina Valaskova
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 100 words) can be sent to the Editorial Office for announcement on this website.
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.
Keywords
- modeling in economics and financial management
- financial econometrics
- time series analysis and forecasting
- modeling in corporate finance
- prediction of bankruptcy and failure
- earnings management
- AI applications
- data mining
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