Paper Key : IRJ************775
Author: Bittu Kesari
Date Published: 09 Apr 2024
Abstract
The predictive modelling remarks about tool that uses data and statistical methods to forecast future outcomes. Time series analysis is a powerful tool for identifying trends and seasonality in historical stock prices. This research explores building a model to predict stock prices in the IT industry. It utilizes time series analysis of historical data, focusing solely on internal factors without external influences. The studys secondary data was gathered from National stock exchange (NSE). The core methodology involves time series regression analysis and correlation to identify relationships between historical prices and influential internal factors. The research utilizes data from the past two years for a limited set of companies listed on the National Stock Exchange of India (NSE). The study acknowledges limitations like short data period and exclusion of external factors, but highlights the potential of this approach for informing investment decisions, while stressing caution due to market uncertainties.
DOI LINK : 10.56726/IRJMETS52091 https://www.doi.org/10.56726/IRJMETS52091