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

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.

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Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2024-10-09
DOI
https://doi.org/10.52783/cana.v32.1924
Primary Topic
Stock Market Forecasting Methods
Type
article
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article

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

Prachi Gupta
Communications on Applied Nonlinear Analysis
Stock Market Forecasting Methods
article

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

Prachi Gupta
article en

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.

Communications on Applied Nonlinear AnalysisVol. 32(3)
Openalex Percentile: Top 75%
Stock Market Forecasting Methods
DOIOpen Access PDFOpenAlex
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Statistical Model Comparison for the National Stock Exchange (NSE) Stock Price Prediction — Prachi Gupta · Communications on Applied Nonlinear Analysis (2024) | TGRS Research Map | TGRS