id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajase-4116	Ojha, Sahil; Karki, Lila B.	Forecasting Global Wheat Price in the Context of Changing Climate and Market Dynamics: An Application of SARIMA Modeling Technique	2025	12	.pdf	application/pdf	6175	368	53	There is a need for a robust forecasting model that accurately captures seasonal variations and trends in global wheat prices to support informed decision- making. Using the ‘auto.arima’ function from the ‘forecast’ package in R 4.3.3 for Windows, SARIMA(0,1,1)(0,0,1)12 was identified as the best-fitted model for forecasting global wheat prices.	cache/ajase-4116.pdf	txt/ajase-4116.txt