Statistical Model Comparison for the National Stock Exchange (NSE) Stock Price Prediction

Prachi Gupta

doi:10.52783/cana.v32.1924

PDF

Published: Oct 9, 2024

DOI: https://doi.org/10.52783/cana.v32.1924

Keywords:

Stock Market, Stock Price Prediction, Time series Models, NSE.

Prachi Gupta, Hemanth Kumar Molapata, G. Madhu Sudan, Nagendra Kumar Kalaparthi, Darvinder Kumar, Sreesaketh Karri

Abstract

The stock market is one of the most versatile sectors in the financial system, and the stock market plays an important role in economic development. It is also a platform for trading various securities and derivatives without barriers. This paper focuses on the comparison of different types of time series models to predict the stock prices of five companies by using machine learning techniques.

Issue

Vol. 32 No. 3 (2025)

Section

Articles

Announcements

Call for Papers

Call for Papers for the Upcoming Issue.

Last Date of Submission: April 30^th, 2026

Call for Reviewers

Call for Editorial Member/ Reviewers Submitting your Application
If you would like to apply for the position of an Editorial Board Member on the journal, please contact the Editor including your CV and a brief covering letter detailing why you are a suitable candidate, to editor@internationalpubls.com. Your cover letter should be no longer than one page and should cover where you believe the research field is going (and the journal's place within it), as well as details of any previous relevant journal editorial and peer review management experience.