TY  - JOUR
TI  - ARIMA model to forecast the RSS-1 rubber price in India: A case study for textile industry
AU  - Kumar, Kepulaje Abhaya
AU  - Pinto, Prakash
AU  - Spulbar, Cristi
AU  - Birau, Ramona
AU  - Hawaldar, Iqbal Thonse
AU  - Vishal, Samartha
AU  - Bărbăcioru, Iuliana Carmen
T2  - Industria Textila
AB  - Various rubber products are used in the textile industry. Due to increased foreign supply and synthetic rubber production,
the price of natural Rubber in India has become more volatile. This paper aims to develop an appropriate model to
predict the weekly price using the Box Jenkins methodology. The weekly price for Indian RSS-1 Rubber for the sample
period from January 2002 to December 2019 has been collected from the official website of the Indian Rubber Board.
ACF and PACF correlograms check the series stationarity and identify the model parameters. A model with the
maximum number of significant coefficients, lowest volatility, lowest Akaike's information criterion (AIC), lowest Schwarz
criterion and highest Adjusted R-squared is tentatively selected as the appropriate model and for the same model
diagnostic check is carried out. An appropriate model to forecast the weekly price for the RSS-1 variety of Rubber is
ARIMA (1, 1, 4).
DA  - 2023/05/02/
PY  - 2023
DO  - 10.35530/IT.074.02.2022132
DP  - DOI.org (Crossref)
VL  - 74
IS  - 02
SP  - 238
EP  - 245
SN  - 12225347
ST  - ARIMA model to forecast the RSS-1 rubber price in India
UR  - http://revistaindustriatextila.ro/images/2023/2/14%20KEPULAJE%20ABHAYA%20KUMAR%20INDUSTRIA%20TEXTILA%20no.2_2023.pdf
Y2  - 2023/05/07/13:59:05
ER  -