International Journal of Forecasting (IJF)

International Journal of Forecasting is a leading peer-reviewed journal dedicated to advancing the theory and practice of forecasting across a wide range of disciplines. Established in 1985, the journal serves as the official publication of the International Institute of Forecasters and is widely recognized for its contributions to forecasting research and applications. The journal publishes high-quality research articles, reviews, and case studies focusing on the development, evaluation, and application of forecasting methods. Topics include time series analysis, econometric modeling, machine learning approaches, and decision-making under uncertainty. It also explores practical applications in business, economics, finance, energy, healthcare, and public policy. A key strength of the journal is its balance between theoretical innovation and real-world relevance. It encourages interdisciplinary contributions that integrate statistics, economics, operations research, and data science. The journal also promotes best practices in forecasting, including model validation, accuracy assessment, and the use of forecasting in strategic planning.

International Journal of Forecasting (IJF) is :-

• International, Peer-Reviewed, Open Access, Refereed, Forecasting Methods and Techniques, Time Series Analysis, Econometrics and Statistics, Business Forecasting, Demand and Supply Forecasting, Financial and Economic Forecasting, Data Analytics and Predictive Modeling, time series analysis, econometric modeling, machine learning approaches, decision-making under uncertainty, It also explores practical applications in business, economics, finance, energy, healthcare, public policy , Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0169-2070, Established: 1985,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE