Mathematical and Probabilistic Methods in Financial Econometrics

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E5: Financial Mathematics".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 184

Special Issue Editors


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Guest Editor
Department of Accounting and Finance, School of Business, Economics and Social Sciences, University of West Attica, 12244 Egaleo, Greece
Interests: experimental designs; generalized linear models; mathematical war theories in business; factor analysis; survival analysis; cluster analysis; discriminant analysis; correspondence analysis
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Guest Editor Assistant
Department of Accounting and Finance, School of Business, Economics and Social Sciences, University of West Attica, 12244 Egaleo, Greece
Interests: probability theory; quantitative methods in economics; stochastic modeling

Special Issue Information

Dear Colleagues,

This Special Issue seeks to bring together high-quality contributions that advance the theory and application of mathematical and probabilistic methods in finance. We welcome work that integrates rigorous stochastic analysis, measure-theoretic probability, and functional analytic techniques with contemporary financial modeling challenges. Topics of interest include, but are not limited to, stochastic processes in finance (e.g., Brownian motion and Lévy models), martingale approaches, stochastic calculus, optimal control and stopping problems, risk-neutral pricing, probabilistic limit theorems, and mathematical methods for risk measurement and portfolio optimization.

This Special Issue also encourages submissions that connect deep theoretical developments with quantitative applications in financial economics, bridging the gap between abstract probabilistic frameworks and practical modeling needs. By fostering interaction across stochastic analysis, mathematical finance, and quantitative methodologies, this Special Issue aims to highlight research that enhances both theoretical foundations and methodological innovation. Contributions that demonstrate novel probabilistic insights or extend classical mathematical techniques to modern financial problems are especially welcome.

Prof. Dr. Miltiadis Chalikias
Guest Editor

Dr. Dimitra Kouloumpou
Guest Editor Assistant

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.

Keywords

  • mathematical finance
  • stochastic control and optimization
  • probabilistic methods in finance
  • measure-theoretic probability
  • risk modeling
  • quantitative finance

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Published Papers

This special issue is now open for submission.
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