The Journal of Modelling in Management is a distinguished publication dedicated to advancing the field of management through innovative modelling techniques. Published by EMERALD GROUP PUBLISHING LTD in the United Kingdom, this journal has established itself as a pivotal resource for researchers and practitioners alike, particularly in areas such as Decision Sciences, Management Science, and Operations Research. With a notable Q2 ranking in multiple categories including Strategy and Management as of 2023, the journal demonstrates a robust impact within the academic community. The convergence of important research from 2006 to 2024 makes it a vital platform for disseminating cutting-edge findings and theories that reshape management practices. Although the journal operates on a traditional access model, its commitment to high-quality scholarship ensures that it remains a crucial reference point in the evolving landscape of management research. Positioned at the intersection of theory and practice, The Journal of Modelling in Management invites contributors and readers to engage with contemporary challenges and methodologies, fostering a deeper understanding of complex management systems.

Statistics & Risk Modeling is a distinguished journal published by WALTER DE GRUYTER GMBH, focusing on the intricate relationships between statistical methodologies and risk assessment techniques. With a strong academic foundation, the journal has been an influential platform in its field since its inception, converging contributions from 1982 to 2002 and again from 2011 to 2024. This journal is currently ranked in the Q3 category in both Modeling and Simulation and Statistics and Probability, reflecting its commitment to advancing knowledge and promoting robust research in statistics, probability, and uncertainty analysis. Although it offers a traditional subscription model, its significant contribution to the community is underscored by its increasing visibility in Scopus rankings, where it stands in the 44th percentile for Decision Sciences and Statistics. By comprehensively addressing contemporary issues in statistical theory and its practical applications, Statistics & Risk Modeling serves as an essential resource for researchers, professionals, and students aiming to deepen their understanding of statistical science and its implications in risk management.

The Review of Quantitative Finance and Accounting, published by Springer, is a distinguished academic journal that has been at the forefront of scholarly discourse since its inception in 1991. With an ISSN of 0924-865X and an E-ISSN of 1573-7179, this journal specializes in the interdisciplinary realms of accounting and finance, particularly emphasizing quantitative methodologies and their applications in real-world scenarios. With an impressive track record reflected in its 2023 rankings, it sits in the Q2 category across key fields such as Accounting, Business Management, and Finance, demonstrating its relevance and influence within these domains. Although it operates without an Open Access option, the journal's content remains vital for researchers, professionals, and students aiming to deepen their understanding of quantitative approaches in finance and accounting contexts. The Review of Quantitative Finance and Accounting stands as an essential resource for advancing knowledge and fostering innovation within these critical disciplines.

Review of Development Finance is a peer-reviewed academic journal dedicated to the exploration and promotion of innovative research in the fields of development finance, economics, and econometrics. Published by AFRICAGROWTH INST in South Africa, this journal serves as a vital platform for scholars and practitioners to share their insights on the financial mechanisms that drive development, particularly in emerging economies. Despite its current impact factor reflecting its nascent status within the lower quartiles (Q4) of its categories, Review of Development Finance aspires to contribute to the understanding and progression of finance as a tool for accelerating development from 2011 to 2024 and beyond. It encourages submissions that challenge conventional wisdom and provide empirical evidence supporting the role of finance in attaining sustainable growth. By fostering an open exchange of ideas amongst researchers, professionals, and students, this journal aims to enhance the discourse surrounding development finance and inspire impactful solutions to global economic challenges.

JOURNAL OF FINANCIAL INTERMEDIATION, published by Academic Press Inc Elsevier Science, is a premier academic journal dedicated to the study of financial intermediation. First established in 1990, this esteemed journal has firmly positioned itself within the top quartile (Q1) of rankings in both Economics and Econometrics as well as Finance, reflecting its significant impact and relevance in the field. With an impressive Scopus ranking of #31 out of 317 in Finance and #74 out of 716 in Economics and Econometrics, it caters to a diverse audience, including researchers, professionals, and students interested in the intricate dynamics of financial markets and institutions. While the journal does not currently offer open access, it remains a vital resource for disseminating cutting-edge research and insights that drive innovation and inform policy-making in the financial sector. With a commitment to maintaining high academic standards, the JOURNAL OF FINANCIAL INTERMEDIATION continues to serve as an essential platform for advancing knowledge in financial theories and practices.

Finance and Stochastics is a leading academic journal published by Springer Heidelberg, focusing on the intricate interplay of finance, probability, and statistics. With an impressive impact factor and ranked within the Q1 category in both finance and statistics, it serves as an essential resource for researchers and professionals seeking to advance their understanding of stochastic modeling in financial contexts. The journal has maintained a strong reputation since its inception, with contributions from renowned scholars worldwide. The editorial team prioritizes high-quality research that addresses contemporary challenges in financial mathematics and extends the boundaries of statistical methods. Nestled in the heart of Germany, Finance and Stochastics embraces a broad scope, inviting submissions that explore innovative approaches to economic theory and quantitative methodologies. This combination of rigorous academic standards and commitment to impactful research makes the journal a pivotal avenue for disseminating knowledge and fostering collaboration in the finance and statistics communities.

The SIAM Journal on Financial Mathematics, published by SIAM PUBLICATIONS, is a premier journal dedicated to the intersection of applied mathematics and finance. With an ISSN of 1945-497X, this journal serves as a vital platform for the dissemination of innovative research that addresses complex financial problems through mathematical modeling and analytical techniques. The journal has established itself within the Q2 quartile in the categories of Applied Mathematics, Finance, and Numerical Analysis, reflecting its influence and significance in these fields. Researchers and practitioners will find a wealth of knowledge spanning topics from stochastic calculus to quantitative finance, making it essential for anyone aiming to advance their understanding of financial mathematics. As the journal continues to converge from 2010 to 2024, it promises to remain a cornerstone resource for academics, professionals, and students alike, facilitating the ongoing dialogue between mathematics and its applications in the financial industry.

Journal of Computational Finance, published by INCISIVE MEDIA, stands at the forefront of interdisciplinary research, amalgamating the realms of finance, applied mathematics, and computer science. With its ISSN 1460-1559 and E-ISSN 1755-2850, this journal provides a vital platform for scholars and practitioners alike, aiming to advance methodologies and computational techniques that enhance financial decision-making processes. Although currently categorized in the Q3 quartile across various disciplines—including Applied Mathematics, Computer Science Applications, and Finance—its commitment to quality research is unwavering, as evidenced by its curated selection of innovative studies. The journal’s scope includes computational modeling, algorithmic trading, risk management, and quantitative finance solutions. Each volume seeks to not only foster academic discourse but also bridge theoretical findings with practical applications in the financial industry. Given its convergence from 2011 to 2024, the journal continues to evolve alongside the rapidly changing financial landscape, supporting researchers, students, and professionals in navigating the complexities of computational finance.

Applied Stochastic Models in Business and Industry, published by Wiley, is a preeminent journal dedicated to advancing the field of stochastic modeling in various business and industry contexts. With an ISSN of 1524-1904 and an E-ISSN of 1526-4025, this journal serves as a vital platform for researchers and practitioners aiming to leverage stochastic techniques to address complex decision-making and operational challenges. The journal holds prestigious rankings, including Q2 in Business, Management and Accounting, and has converged years spanning from 1999 to 2024. It is distinguished by its wide scope, focusing on all aspects of modeling and simulation, as well as decision sciences and operations research. Although it does not operate as an open-access journal, its significant impact factor and Scopus rankings ensure that the valuable insights published within reach a broad audience. By fostering high-quality research and discourse, Applied Stochastic Models in Business and Industry plays a crucial role in driving innovation and excellence in its fields.

MATHEMATICAL FINANCE is a prestigious journal published by Wiley, focusing on the interdisciplinary fields of finance, applied mathematics, accounting, and economics. With its ISSN 0960-1627 and E-ISSN 1467-9965, this journal has earned its place in the top tier of academic publications, reflected by its Q1 rankings across multiple categories in 2023, including Accounting, Applied Mathematics, Economics and Econometrics, Finance, and Social Sciences. MATHEMATICAL FINANCE, which commenced publishing in 1991, is recognized for its rigorous peer-review process and its significant contribution to the advancement of knowledge in quantitative finance methodologies and risk management practices. Although it does not currently offer open access, the journal remains an invaluable resource for researchers, professionals, and students seeking to stay abreast of the latest theoretical advancements and empirical studies in mathematical finance. Its impact factor and Scopus rankings further illustrate its high standing within the academic community, making it an essential platform for impactful research and scholarly discourse.