Paper Title
A Comparative Study on Error Analysis & Forecasting of selected Stocks listed in NSE.
Article Identifiers
Authors
Mohith K , Dr Charithra C M
Keywords
National Stock Exchange (NSE) Correlation analysis Trading signals Statistical techniques Historical price data Sectoral analysis
Abstract
This research aims to analyze the effectiveness of different moving average periods (e.g., 50-day, 100-day, 200-day) in predicting stock price movements of selected stocks listed on the National Stock Exchange (NSE). By comparing the performance of various moving averages, the study seeks to identify the most suitable indicator for making informed investment decisions. The research methodology involves selecting a representative sample of stocks from different sectors listed on the NSE. Historical price data for these stocks will be collected and analyzed using statistical techniques. The study will investigate the correlation between different moving averages and stock price changes, as well as the potential for generating trading signals. The findings of this research will be valuable to investors and traders as it will provide insights into the effectiveness of moving averages as a technical analysis tool. The study may also contribute to the existing literature on stock market analysis and technical indicators.
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How To Cite (APA)
Mohith K & Dr Charithra C M (September-2024). A Comparative Study on Error Analysis & Forecasting of selected Stocks listed in NSE.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(9), b224-b233. https://ijnrd.org/papers/IJNRD2409125.pdf
Issue
Volume 9 Issue 9, September-2024
Pages : b224-b233
Other Publication Details
Paper Reg. ID: IJNRD_300073
Published Paper Id: IJNRD2409125
Downloads: 000121993
Research Area: Commerce and Management, MBA All Branch
Country: Bengaluru, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2409125.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2409125
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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