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Forecasting

Using The ARIMA Method in Forecasting Money Supply in Libya

Authors Faculty of Economy and Administration, Tajoura, Tripoli University, Libya [email protected] Paper DOI https://doi.org/10.59992/IJSR.2024.v3n10p2 Abstract The research paper focuses on using the Box-Jenkins methodology (ARIMA) to forecast monthly data for narrow money supply (M1) and broad money supply (M2) in Libya from January 2010 to December 2030. The study aims… اقرأ المزيد »Using The ARIMA Method in Forecasting Money Supply in Libya

Applying (ARFIMA) Model for Forecast the Saudi Stock Market Prices

Authors Ph.D. Researcher, Department of Statistic, Collage of Graduate Studies, Sudan University of Science & Technology, Khartoum. Sudan [email protected] Ph.D. of Statistics, Sudan University of Science & Technology, Khartoum, Sudan [email protected] Paper DOI https://doi.org/10.59992/IJSR.2024.v3n8p1 Abstract The interest in the topic of time series forecasting has increased during the recent years… اقرأ المزيد »Applying (ARFIMA) Model for Forecast the Saudi Stock Market Prices