Study of India stock prices (2023) of Banks and prediction based on ARIMA models

Many investors, both novice and seasoned, have made considerable profits by strategizing and investing in stocks over the years. The study described in this paper uses a time series approach to model and forecast the stock values of the State Bank of India and the Indian Bank in India. From the Yahoo Finance web-site, we retrieved the stock prices for SBIN.NS and INDIANB.NS. This article’s primary goal is the Hampel filter-based outlier detection of stock prices. We used the Augmented Dickey-Fuller (ADF) test and the Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test to check the time series of stock prices for stationarity. We also discovered the (partial) autocorrelation function graphs (PACF/ACF). Finally, we used the AutoRegressive Integrated Moving Average (ARIMA) models to forecast the stock values of Indian banks.