Time Series Analysis of Onion and Potato Prices using Parametric Models

Author(s)	Nishu Kumari, Dr. Gaurav Varshney
Country	India
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.
Field	Mathematics > Statistics
Published In	Volume 6, Issue 5, September-October 2024
Published On	2024-10-06
Cite This	Time Series Analysis of Onion and Potato Prices using Parametric Models - Nishu Kumari, Dr. Gaurav Varshney - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.27476
DOI	https://doi.org/10.36948/ijfmr.2024.v06i05.27476
Short DOI	https://doi.org/g795g8

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