Modelling the GDP of KSA using linear and non-linear NNAR and hybrid stochastic time series models.

Journal: PloS one
Published Date:

Abstract

BACKGROUND: Gross domestic product (GDP) serves as a crucial economic indicator for measuring a country's economic growth, exhibiting both linear and non-linear trends. This study aims to analyze and propose an efficient and accurate time series approach for modeling and forecasting the GDP annual growth rate (%) of Saudi Arabia, a key financial indicator of the country.

Authors

  • Abdullah M Almarashi
    Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Muhammad Daniyal
    TCM and Ethnomedicine Innovation and Development International Laboratory, Academician Atta-ur-Rahman Belt and Road Traditional Medicine Research Center, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, China.
  • Farrukh Jamal
    Department of Statistics, The Islamia University of Bahawalpur, Punjab, Pakistan.