Time Series Analysis of Onion and Potato Prices using Parametric Models
Year: 2024
Type: article
Abstract: This study presents a detailed analysis of onion and potato price series using parametric models, specifically Auto- regressive Integrated Moving Average (ARIMA) and Generalized Autoregressive Conditional Heteroscedasticity (GARCH). Data from various Indian markets were used to identify trends, correlations, and volatility. The findings indicate significant volatility in onion prices compared to potato prices, with both series demonstrating non- stationarity and non-normality. The ARIMA models were effective in capturing the seasonality and trends in the data, while GARCH models provided insights into the conditional variance.
Authors: Nishu Kumari -, Dr. Gaurav Varshney -
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
SDG: Zero hunger
Open Access status: hybrid
OpenAlex ID: W4403361302