Price Trend of Milk during COVID-19 in the United State of America: Predictions Using Time-Series Datasets

Published: 25 June 2020| Version 1 | DOI: 10.17632/sjtvxpsvpv.1
Kushal Anjaria,
Shweta Krishnan,
Ankit Sontakke


While seasonality is an important issue for milk production, due to its inherent production characteristic, the variation in milk price of the previous month over the current month is measured. (Mn for the current month, Mn-1 is for the previous month, then ∆(M_n-M_(n-1)). Data during January 2015 and April 2020 forms the source for prediction milk price for the next four months. The raw data is used for prediction by using ARIMA model of Python. Another model, the exponential triple smoothing (ETS) model with Excel 2019 is also used for forecasting with same datasets.The data sources are USDA and uses USDA source as well.



Price, Forecasting, Autoregressive Integrated Moving Average, COVID-19