IRREGULAR TIME SERIES: ECONOMIC IMPACT OF COVID-19 ON INDIA AN OVERVIEW

Abstract [English]

Time series analysis is the process of compiling observations gathered from repeated measurements made over a period of time. To extract useful statistics and other features from the data, time series analysis is performed. One of a time series' four components is irregular or random fluctuation. They are in line with the erratic motions that often occur for brief intervals of time. Irregular deviations are unpredictable and do not fit into any certain paradigm.
An unprecedented worldwide economic catastrophe has been brought on by the COVID-19 epidemic, and it has serious consequences for nations like India. An outline of the Indian economy during the COVID-19 epidemic is given in this research study. This article seeks to analyse the complex issues facing the Indian economy by looking at a number of different factors, including GDP growth, unemployment rates, fiscal policies, and sectoral implications.
This essay also explores how foreign variables, such shifts in commodity prices and interruptions in global supply chains, influenced India's economic development throughout the epidemic. It also looks at how the crisis may affect India's chances for long-term growth, emphasising how important structural changes are to promoting sustainability and resilience.
In conclusion, despite the fact that India's economy has begun to recover among the continuous difficulties brought on by the epidemic, there are still unknowns. It will be essential to address the underlying structural limitations and promote equitable and sustainable growth in order to successfully navigate the post-pandemic economic landscape.