JOURNAL OF FORECASTING

Scope & Guideline

Advancing predictive insights for a dynamic future.

Introduction

Welcome to your portal for understanding JOURNAL OF FORECASTING, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0277-6693
PublisherWILEY
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1982 to 2024
AbbreviationJ FORECASTING / J. Forecast.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN 07030-5774, NJ

Aims and Scopes

The Journal of Forecasting is dedicated to advancing the field of forecasting by publishing high-quality research that explores various methodologies, applications, and theoretical advancements in forecasting across multiple disciplines. Its core areas include statistical methods, machine learning approaches, and interdisciplinary applications that contribute to both theoretical insights and practical implementations.
  1. Statistical Forecasting Techniques:
    The journal emphasizes traditional and novel statistical methods for forecasting, including time series analysis, regression models, and Bayesian approaches, which are foundational in the field.
  2. Machine Learning and AI Applications:
    A significant focus on the application of machine learning and artificial intelligence for forecasting tasks, including deep learning models and ensemble methods, showcases the integration of advanced computational techniques in forecasting.
  3. Economic and Financial Forecasting:
    Research related to economic indicators, financial markets, and macroeconomic forecasting is prevalent, highlighting the journal's commitment to addressing real-world economic challenges through rigorous forecasting methodologies.
  4. Probabilistic Forecasting:
    The journal supports the development and evaluation of probabilistic forecasting methods, including density forecasts and uncertainty quantification, which are critical for informed decision-making in uncertain environments.
  5. Interdisciplinary Applications:
    The journal publishes studies that apply forecasting techniques to various fields, including healthcare, energy, and social sciences, demonstrating the versatility and relevance of forecasting across different domains.
The Journal of Forecasting has also witnessed the emergence of several new and trending themes that reflect the evolving landscape of forecasting research. This section outlines the key areas that have gained traction and are likely to shape future research directions.
  1. Integration of Big Data in Forecasting:
    There is a growing trend towards utilizing big data sources and advanced analytics for forecasting applications, allowing researchers to enhance model accuracy and incorporate more diverse datasets.
  2. Real-Time Forecasting and Nowcasting:
    The focus on real-time forecasting and nowcasting techniques has surged, especially in the context of economic and financial data, driven by the need for timely decision-making in rapidly changing environments.
  3. Hierarchical and Multi-Level Forecasting:
    Emerging methodologies in hierarchical and multi-level forecasting are gaining attention as researchers explore the complexities of aggregating forecasts across different levels and dimensions.
  4. Uncertainty Quantification and Risk Assessment:
    The importance of uncertainty quantification in forecasting has risen, with an emphasis on developing methods that provide probabilistic forecasts and assess associated risks more effectively.
  5. Interdisciplinary Applications of Forecasting:
    There is an increasing trend towards applying forecasting techniques in diverse fields such as healthcare, environmental science, and social sciences, which broadens the applicability and relevance of forecasting research.

Declining or Waning

While the Journal of Forecasting continues to thrive with a diverse range of topics, certain themes have shown signs of waning interest or publication frequency. This section highlights those areas that appear to be declining in prominence within recent publications.
  1. Traditional Econometric Models:
    There has been a noticeable decline in the focus on traditional econometric models, such as ARIMA and VAR, as researchers increasingly turn to machine learning and advanced statistical techniques for forecasting.
  2. Basic Time Series Analysis:
    The emphasis on simple time series analysis without incorporating advanced methods or machine learning has decreased, as the field evolves towards more complex and data-driven approaches.
  3. Single-Method Studies:
    Research papers that focus solely on a single forecasting method without comparing it to others or integrating multiple approaches are becoming less common, reflecting a shift towards more comprehensive and comparative studies.

Similar Journals

AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

Exploring Innovative Frontiers in Statistics and Probability
Publisher: WILEYISSN: 1369-1473Frequency: 4 issues/year

AUSRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, published by Wiley, stands as a significant platform for the dissemination of statistical knowledge and applications, specifically within the realms of statistics and probability. With an impact factor reflective of its quality and standing, the journal operates in a Q3 category for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, positioning it among the important scholarly resources in its field. As a valuable resource for researchers, professionals, and students, the journal encourages the submission of innovative research articles that push the boundaries of statistical science. Offering both print and open access options, it ensures broad accessibility, promoting a culture of collaboration and knowledge sharing across the global statistical community. Covering research from 1998 to 2024, it remains dedicated to advancing understanding in statistical methodologies and their applications, cementing its role in fostering academic discourse and practical advancements in the field.

Econometrics

Connecting Scholars through Pioneering Economic Studies
Publisher: MDPIISSN: Frequency: 4 issues/year

Econometrics, published by MDPI, is a prominent open access journal based in Switzerland, dedicated to advancing research in the fields of economics and econometrics. Since its inception in 2013, this journal has been pivotal in disseminating innovative theories and empirical findings, fostering an engaging dialogue among scholars and practitioners. With an impressive Q2 ranking in the 2023 category of Economics and Econometrics and a solid position at #378 out of 716 in Scopus rankings, it stands as a vital resource for those seeking to enhance their understanding and application of econometric methods. The journal offers immediate open access to its published articles, ensuring that researchers, professionals, and students alike can easily access and contribute to the evolving body of knowledge in this essential discipline. The scope of Econometrics encourages submissions that cover a broad array of topics, making it a dynamic platform for innovative research until 2024 and beyond.

Advances and Applications in Statistics

Advancing Knowledge, Transforming Applications
Publisher: PUSHPA PUBLISHING HOUSEISSN: 0972-3617Frequency: 12 issues/year

Advances and Applications in Statistics is a pivotal academic journal devoted to the dissemination of high-quality research findings in the field of statistics and its diverse applications. Published by PUSHPA PUBLISHING HOUSE, this journal aspires to serve as a dynamic platform for researchers, professionals, and students who aim to share innovative statistical methodologies and explore their practical implications across various disciplines. The journal, with its influential ISSN 0972-3617, fosters open discussion and collaboration within the statistical community, aiming to bridge theoretical advancements with real-world applications. As part of its ongoing commitment to academic integrity and excellence, Advances and Applications in Statistics encourages submissions that not only advance statistical theory but also illustrate their utility in solving contemporary issues in industries such as healthcare, finance, and economics. Although currently lacking an impact factor, the journal's dedication to quality research positions it as a significant contributor to the field. Researchers and academics looking to publish their work in a stimulating and supportive environment will find in this journal a valuable resource.

Korean Journal of Applied Statistics

Elevating Statistical Methodologies for Real-World Impact
Publisher: KOREAN STATISTICAL SOCISSN: 1225-066XFrequency: 6 issues/year

Korean Journal of Applied Statistics, published by the Korean Statistical Society, is a prominent journal dedicated to advancing the field of applied statistics. ISSN 1225-066X (Print) and E-ISSN 2383-5818 (Online), this journal serves as a vital platform for disseminating high-quality research that addresses the latest methodologies, applications, and innovations in statistical practices. Though currently not an open-access journal, it aims to foster collaboration among statisticians, researchers, and practitioners by providing rigorous peer-reviewed articles that enhance understanding and application of statistical techniques across various disciplines. With a commitment to integrating theory and practice, the Korean Journal of Applied Statistics stands as a crucial resource for those seeking to influence the evolving landscape of statistical research and its applications in Korea and beyond.

Journal of Grey System

Transforming Insights into Actionable Knowledge
Publisher: RESEARCH INFORMATION LTDISSN: 0957-3720Frequency: 4 issues/year

Welcome to the Journal of Grey System, a distinguished publication dedicated to the advanced study of decision sciences, applied mathematics, and statistical theories. Published by Research Information Ltd, this journal has carved out a niche within the academic community, focusing on innovative methodologies and interdisciplinary approaches that foster a deeper understanding of complex systems. Although open access options are not currently available, the journal has been recognized for its scholarly contributions, achieving impressive Scopus rankings—including a notable #47 in Decision Sciences and a 60th percentile rank in Applied Mathematics. With coverage spanning from 2008 to 2019, the Journal of Grey System remains an essential resource for researchers and practitioners aiming to enhance their knowledge in statistics, probability, and system optimization. As a result, it serves not just as a platform for academic discourse but also as a catalyst for future research endeavors in the evolving landscape of mathematical and statistical sciences.

Sigmae

Innovating Ideas Across Disciplines
Publisher: UNIV FEDERAL ALFENASISSN: 2317-0840Frequency: 2 issues/year

Sigmae is an emerging academic journal published by Universidade Federal de Alfenas, focusing on interdisciplinary research in the fields of social sciences, humanities, and natural sciences. With its ISSN 2317-0840, Sigmae aims to provide a platform for innovative ideas and rigorous research, fostering collaboration among scholars and practitioners. Although the journal is currently operating without an Open Access model, it ensures high-quality peer-reviewed articles that contribute to advancements in various domains of knowledge. The journal is committed to enhancing visibility for Brazilian research on both national and international stages. As a vital resource for researchers, professionals, and students, Sigmae invites submissions that explore theoretical, methodological, and empirical dimensions within its broad scope. With a goal to expand its academic contributions and enhance its standing in the research community, Sigmae is poised to become a key player in shaping contemporary discourse.

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Unleashing the potential of statistical modeling and simulation.
Publisher: TAYLOR & FRANCIS LTDISSN: 0094-9655Frequency: 12 issues/year

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, published by Taylor & Francis Ltd, is a premier journal dedicated to advancing the fields of statistical computation, modeling, and simulation. With a notable impact factor and a ranking in the Q2 quartile across important categories such as Applied Mathematics and Statistics, this journal serves as a vital resource for researchers, practitioners, and students alike. Established in 1972, it has consistently provided cutting-edge research insights, fostering a deeper understanding of statistical methodologies and their practical applications. Although it operates under a subscription model, the journal's commitment to disseminating high-quality research is reflected in its rigorous peer-review process and a broad international readership. With its scope spanning the intersections of statistics, probability, and computational techniques, the journal is essential for anyone looking to stay at the forefront of statistical innovation and practice.

STATISTICA NEERLANDICA

Advancing statistical science through rigorous scholarship.
Publisher: WILEYISSN: 0039-0402Frequency: 4 issues/year

STATISTICA NEERLANDICA is a prestigious peer-reviewed journal published by Wiley, focusing on the fields of statistics and probability. Established in 1946 and addressing key issues in statistical theory and its applications, the journal has significantly contributed to the development of modern statistical practices. With an impressive Q2 categorization in both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, STATISTICA NEERLANDICA stands out within its field, ranking in the 62nd percentile among its peers in mathematics, specifically in statistics and probability. Researchers, professionals, and students can benefit from its rigorous scholarship and innovative methodologies, aiding in the advancement of statistical science. Although the journal does not operate under an open access model, it maintains a commitment to disseminating high-quality research, making it a vital resource for those engaged in statistical inquiry.

Data Science in Finance and Economics

Transforming finance and economics through data-driven insights.
Publisher: AMER INST MATHEMATICAL SCIENCES-AIMSISSN: Frequency: 4 issues/year

Data Science in Finance and Economics is a pioneering journal published by the American Institute of Mathematical Sciences (AIMS), devoted to the intersection of data science with the fields of finance and economics. Established as an open-access journal since 2021, it aims to disseminate high-quality research that unravels complex financial phenomena and economic models through innovative data-driven methodologies. With a commitment to advancing knowledge in this rapidly evolving discipline, the journal encourages submissions that encompass theoretical studies, empirical research, and application-based articles from both academia and industry. While the journal is relatively new, its potential to significantly influence the discourse in finance and economics is profound, offering researchers, professionals, and students an invaluable resource to stay abreast of current trends and methodologies in data science. For access to cutting-edge research and insights, visit AIMS and contribute to the ongoing conversation in this essential field.

Intelligent Data Analysis

Pioneering Research in AI, Vision, and Pattern Recognition
Publisher: IOS PRESSISSN: 1088-467XFrequency: 6 issues/year

Intelligent Data Analysis is a highly regarded journal published by IOS Press, specializing in the fields of Artificial Intelligence, Computer Vision, and Pattern Recognition. With its ISSN 1088-467X and E-ISSN 1571-4128, the journal has been a cornerstone of scholarly communication since its inception in 1997, serving as a vital resource for researchers, professionals, and students engaged in advancing methodologies and applications in intelligent data analysis. The journal maintains its significance with impressive Scopus ranks, indicating its notable position within the academic community. Although currently not an Open Access journal, Intelligent Data Analysis offers a wealth of insights and findings, encouraging collaboration and knowledge exchange among its readership. With an impact factor reflective of its rigorous selection processes, the journal traverses a broad range of topics, contributing to ongoing discussions and innovations in its field. As the journal looks toward shaping future research until 2024 and beyond, it remains a pivotal platform for disseminating cutting-edge research and fostering academic inquiry.