JOURNAL OF FORECASTING

Scope & Guideline

Empowering decision-making through innovative forecasting.

Introduction

Welcome to the JOURNAL OF FORECASTING information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of JOURNAL OF FORECASTING, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
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.

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