Performance Analysis of Stock Price Prediction using Artificial Neural Network

Dr. K.K.Sureshkumar
Dr. K.K.Sureshkumar * §
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Dr.N.M.Elango
Dr.N.M.Elango
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§ Kongu Arts and Science College / Bharathiar University

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Performance Analysis of Stock Price Prediction using Artificial Neural Network

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Abstract

Stock market predictions are one of the challenging tasks for financial investors across the globe. This challenge is due to the uncertainty and volatility of the stock prices in the market. Due to technology and globalization of business and financial markets it is important to predict the stock prices more quickly and accurately. Last few years there has been much improvement in the field of Neural Network (NN) applications in business and financial markets. Artificial Neural Network (ANN) methods are mostly implemented and play a vital role in decision making for stock market predictions. Multi Layer Perceptron (MLP) architecture with back propagation algorithm has the ability to predict with greater accuracy than other neural network algorithms. In this research, neural works predict tools are used to predict the future stock prices and their performance statistics will be evaluated. This would help the investor to analyze better in business decisions such as buy or sell a stock.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. K.K.Sureshkumar, Dr.N.M.Elango. . "Performance Analysis of Stock Price Prediction using Artificial Neural Network". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 1).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Artificial Neural Network (ANN)Multi Layer Perceptron (MLP)National Stock Exchange (NSE)Performance MeasuresStock Prediction
Classification
GJCST Classification I.2.6
  • Submission ReceivedApril 5, 2012
  • Peer Review Double Blind
    Handling Editor
  • Accepted April 30, 2012
  • Published May 15, 2012
Version of record

v1.2

Issue date
January 15, 2012

Language
English
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Performance Analysis of Stock Price Prediction using Artificial Neural Network

Dr. K.K.Sureshkumar
Dr. K.K.Sureshkumar Kongu Arts and Science College / Bharathiar University
Dr.N.M.Elango
Dr.N.M.Elango
  • Submission ReceivedApril 5, 2012
  • Peer Review Double Blind
    Handling Editor
  • Accepted April 30, 2012
  • Published May 15, 2012