"ARIMA Model Forecasting of Stock Prices for Selected IT Companies: A comparative Study"

Registration ID: IJNRD_300154

Published ID: IJNRD2409123

DOI: Click Here to Get

Varshini V Shetty , Dr. Charithra C.M

Indian IT companies, Stock price forecasting ARIMA model, Predictive analytics,Financial performance, Tata Consultancy Services (TCS), Infosys ,Wipro, HCL Technologies ,Tech Mahindra.

This study examines the financial performance and future stock price forecasts of the top five Indian IT companies: Tata Consultancy Services (TCS), Infosys, Wipro, HCL Technologies, and Tech Mahindra. These companies are the cornerstone of India's robust IT sector, exerting substantial influence on both the national and global technology markets. Understanding their stock price trends and the factors driving them is essential for investors, financial analysts, and policymakers. To predict future stock prices for these companies, the Autoregressive Integrated Moving Average (ARIMA) model will be utilized. Known for its precision in time series forecasting, ARIMA is a suitable method for anticipating stock price trends. The study involves analyzing historical stock price data to forecast future movements, enabling a comparison between predicted and actual prices to assess the accuracy and reliability of the ARIMA model in this context.

Published Paper   E-Certificate

Varshini V Shetty & Dr. Charithra C.M (September-2024). "ARIMA Model Forecasting of Stock Prices for Selected IT Companies: A comparative Study". INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(9), b213-b218. https://ijnrd.org/papers/IJNRD2409123.pdf

Volume 9 Issue 9, September-2024

Pages : b213-b218

Paper Reg. ID: IJNRD_300154

Published Paper Id: IJNRD2409123

Downloads: 000121988

Research Area: Management All

Country: Bengaluru, karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2409123.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2409123

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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