Risks is an esteemed Open Access journal published by MDPI, based in Switzerland, dedicated to exploring multifaceted dimensions of risk across various fields, including Accounting, Economics, Finance, and Management. Since its inception in 2013, the journal has fostered academic discourse by providing a platform for high-quality research that addresses contemporary challenges and theoretical advancements within these disciplines. With a commendable ranking in the 75th percentile for Economics, Econometrics and Finance, and distinction in Accounting and Strategy Management, Risks maintains robust academic quality that resonates within the global research community. The journal not only prioritizes accessibility with its Open Access model but also aims to bridge the gap between academia and industry through rigorous peer-reviewed publications. Researchers, professionals, and students alike will find Risks to be an invaluable resource for innovative insights and evidence-based analyses in the field of risk management.

Probability Uncertainty and Quantitative Risk, published by the American Institute of Mathematical Sciences (AIMS), is a distinguished open-access journal that has been contributing to the academic community since its inception in 2016. With a focus on the crucial interplay between probability, uncertainty, and quantitative risk assessment, this journal serves as a vital platform for researchers, practitioners, and students engaged in the fields of Applied Mathematics and Statistics. The journal's ranking in the Q2 category for both Applied Mathematics and Statistics and Probability reflects its growing influence and relevance, while its diverse scope encourages interdisciplinary studies. As a part of the Scopus database and maintaining a consistent publication pace through 2024, Probability Uncertainty and Quantitative Risk is essential for anyone looking to remain at the forefront of research in risk analysis and uncertainty modeling. Its commitment to open access since 2016 further enhances accessibility to cutting-edge findings, making it an indispensable resource for academics and industry professionals alike.

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.

STOCHASTIC MODELS, published by Taylor & Francis Inc, is a reputable journal dedicated to the field of applied mathematics, particularly focusing on the realms of modeling and simulation, as well as statistics and probability. With an ISSN of 1532-6349 and an E-ISSN of 1532-4214, the journal has made a notable impact since its inception in 2002 and is recognized for contributing valuable research until 2024. A Q3 ranking in 2023 within the categories of Applied Mathematics and Modeling & Simulation, alongside a Q4 ranking in Statistics and Probability, underscores its significant role in advancing scholarship in these areas, despite the competitive landscape. While not an Open Access journal, it offers an array of access options to cater to its diverse readership comprised of researchers, professionals, and students. Situated in the United States, STOCHASTIC MODELS serves as a critical platform for disseminating innovative ideas, methodologies, and applications that drive forward the understanding of complex stochastic phenomena.

Annals of Actuarial Science, published by Cambridge University Press, stands as a prominent academic journal in the fields of economics, statistics, and actuarial science. With an ISSN of 1748-4995, it features rigorous research aimed at advancing knowledge and practice in areas related to risk management, data analysis, and probability. The journal is recognized for its significant impact, holding a Q2 category ranking in both Economics and Econometrics and Statistics and Probability, along with notable positioning within Scopus rankings. Although it does not currently offer open access, its comprehensive selection of scholarly articles from 2010 to 2024 remains invaluable to researchers, professionals, and students alike, providing insights that drive the actuarial profession and enhance decision-making processes across various sectors. Positioned at the intersection of theoretical innovation and practical application, the Annals of Actuarial Science continues to shape the discourse and development of its disciplines.

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.

JOURNAL OF RISK AND INSURANCE, published by Wiley, stands as a premier platform for advancing knowledge in the fields of risk management and insurance. With an established ISSN of 0022-4367 and an E-ISSN of 1539-6975, this journal is rigorously peer-reviewed, ensuring the highest standards of academic quality. Recognized as a Q1 journal in 2023 across multiple categories such as Accounting, Economics, and Finance, it showcases influential research that addresses complex issues within these domains. The journal is notable for its innovative contributions and is essential reading for researchers, professionals, and students dedicated to understanding the evolving landscape of risk and insurance from 1978 to the present. Although not an Open Access journal, it provides valuable insights for those aiming to enhance their expertise while navigating the intersection of theory and practice.

Journal of Risk Model Validation, published by INCISIVE MEDIA, is a pivotal scholarly platform dedicated to the fields of Applied Mathematics, Economics, Econometrics, and Finance. With an ISSN of 1753-9579 and an E-ISSN of 1753-9587, this journal actively contributes to the advancement of knowledge through the rigorous validation of risk models, which is essential for informed decision-making in business and economic contexts. Although currently not an Open Access journal, it serves a vital role in the academic community, evidenced by its categorization in the Q4 and Q3 quartiles across various relevant fields. As of 2023, it holds commendable Scopus rankings, reflecting its relevance and engagement within the global academic discourse. The journal encourages submissions from a wide array of researchers, professionals, and students until 2024, fostering a comprehensive exploration of risk model methodologies and their practical applications. Emphasizing both theoretical frameworks and empirical studies, the Journal of Risk Model Validation is an essential resource for those dedicated to enhancing the reliability and effectiveness of risk assessment in contemporary finance and economics.

The Journal of Risk Finance, published by Emerald Group Publishing Ltd, is a premier academic journal dedicated to advancing the understanding of risk management and finance practices since its inception in 1999. With a strong foothold within the Q2 rankings in both Accounting and Finance categories, it proudly holds a significant place in the scholarly landscape, ranking #54 out of 317 in the Scopus Economics and Finance category, placing it in the 83rd percentile. The journal aims to facilitate the exchange of innovative research and practical insights, catering to an audience of researchers, professionals, and students eager to explore contemporary issues in risk finance. While not an open access journal, it provides numerous access options, ensuring that essential findings reach a broad readership. Set in the United Kingdom and covering publications up to 2024, the Journal of Risk Finance continues to be an indispensable resource for those committed to this critical field.

Insurance Mathematics & Economics, published by Elsevier, stands as a pivotal journal in the fields of economics and statistics, carrying the ISSN 0167-6687 and E-ISSN 1873-5959. Established in 1982, this journal aims to disseminate high-quality research that integrates insurance theory with economic principles, making significant contributions to both academic and practical spheres. With a notable Q1 ranking in the 2023 category quartiles for Economics, Econometrics, Statistics, and Probability, and a solid standing in Scopus ranks, it ranks #64 out of 278 in Mathematics and #45 out of 168 in Decision Sciences, showcasing its relevance and prestige in the research landscape. The journal not only facilitates a deeper understanding of insurance-related mathematical methodologies but also emphasizes the application of these techniques in real-world economic contexts. Researchers, professionals, and students alike can benefit from its rigorous approach to the challenges faced in insurance and economics, making it an essential resource for anyone involved in these dynamic fields.