Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{190881,
        author = {Dr. V. Sumalatha},
        title = {AN EMPIRICAL ANALYSIS OF INFLATION RATE IN INDIA},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {5149-5154},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190881},
        abstract = {This project aims to conduct a comprehensive time series analysis of inflation rate, focusing on major factors such as Food & Beverages, Housing, Clothing & Footwear, Fuel & light, Pan & Tabacco, Miscellaneous.
This study aims to investigate the trends and patterns of inflation rates in India and to forecast the inflation rate in India using statistical methods. Inflation, a critical economic variable affects purchasing power and overall economic stability. Secondary data was obtained from Ministry of Statistics and Programme Implementation, Government of India.  For the given data some of the statistical techniques were applied such as Time series Analysis to forecast the inflation rate Seasonal Autoregressive Integrated Moving Average (SARIMA) model was applied. Some external factors also influence the inflation such as economic conditions and some policies.
This project involves data collection, data pre-processing and the applying forecasting model to predict future inflation rates.
The findings will contribute to a deeper understanding of inflation factors in the context of a rapidly evolving Indian Economy.},
        keywords = {Inflation, Consumer Price Index (CPI), Forecasting, Time series, SARIMA.},
        month = {January},
        }