Forecasting the Stock Market Closing Price of Nifty Commodity index Using Arima

The study which had made in this research paper is to forecast the stock market prices of Nifty commodity index which is one of the stock markets indices under NSE (National Stock Exchange) of India. This work is made for the time period of 5 months closing stock market price of Nifty commodities in that 4 month as training data and 1 month as Validation data using statistical analysis of ARIMA and Exploratory data analysis for better analysis of stock prices in the visual formation. The work concluded that the ARIMA time series analysis is not a better analysis of stock prices which comes under non-Markova time series so, the ARIMA analysis not good analysis for investors to depend on the forecasted results. In fact, they can go through ARCH and GARCH methods for forecasting the stock prices of Nifty commodity closing price.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-17
DOI
https://doi.org/10.5281/zenodo.14504771
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
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article

Forecasting the Stock Market Closing Price of Nifty Commodity index Using Arima

Zenodo (CERN European Organization for Nuclear Research)
Stock Market Forecasting Methods
article

Forecasting the Stock Market Closing Price of Nifty Commodity index Using Arima

article en

Abstract

The study which had made in this research paper is to forecast the stock market prices of Nifty commodity index which is one of the stock markets indices under NSE (National Stock Exchange) of India. This work is made for the time period of 5 months closing stock market price of Nifty commodities in that 4 month as training data and 1 month as Validation data using statistical analysis of ARIMA and Exploratory data analysis for better analysis of stock prices in the visual formation. The work concluded that the ARIMA time series analysis is not a better analysis of stock prices which comes under non-Markova time series so, the ARIMA analysis not good analysis for investors to depend on the forecasted results. In fact, they can go through ARCH and GARCH methods for forecasting the stock prices of Nifty commodity closing price.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 55%
Stock Market Forecasting Methods
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