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An empirical study on the various stock market prediction methods

Register: Jurnal Ilmiah Teknologi Sistem Informasi

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Title An empirical study on the various stock market prediction methods
 
Creator Pandya, Jaymit Bharatbhai
Jaliya, Udesang K.
 
Subject Clustering and Data Mining; CNN; Sentiment Analysis; Stock Market Prediction; Time Series Analysis
 
Description Investment in the stock market is one of the much-admired investment actions. However, prediction of the stock market has remained a hard task because of the non-linearity exhibited. The non-linearity is due to multiple affecting factors such as global economy, political situations, sector performance, economic numbers, foreign institution investment, domestic institution investment, and so on. A proper set of such representative factors must be analyzed to make an efficient prediction model. Marginal improvement of prediction accuracy can be gainful for investors. This review provides a detailed analysis of research papers presenting stock market prediction techniques. These techniques are assessed in the time series analysis and sentiment analysis section. A detailed discussion on research gaps and issues is presented. The reviewed articles are analyzed based on the use of prediction techniques, optimization algorithms, feature selection methods, datasets, toolset, evaluation matrices, and input parameters. The techniques are further investigated to analyze relations of prediction methods with feature selection algorithm, datasets, feature selection methods, and input parameters. In addition, major problems raised in the present techniques are also discussed. This survey will provide researchers with deeper insight into various aspects of current stock market prediction methods.
 
Publisher Information Systems - Universitas Pesantren Tinggi Darul Ulum
 
Contributor —
 
Date 2022-03-22
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.unipdu.ac.id/index.php/register/article/view/2533
10.26594/register.v8i1.2533
 
Source Register: Jurnal Ilmiah Teknologi Sistem Informasi; Vol 8, No 1 (2022): January; 58-80
Register: Jurnal Ilmiah Teknologi Sistem Informasi; Vol 8, No 1 (2022): January; 58-80
2502-3357
2503-0477
10.26594/register.v8i1
 
Language eng
 
Relation https://journal.unipdu.ac.id/index.php/register/article/view/2533/pdf
 
Rights Copyright (c) 2022 The Author(s)
http://creativecommons.org/licenses/by-nc-sa/4.0