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Hybrid Machine Learning Technique for Forecasting Dhaka Stock Market Timing Decisions
Joint Authors
Khodadad Khan, A. F. M.
Banik, Shipra
Anwer, Mohammed
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-19
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Forecasting stock market has been a difficult job for applied researchers owing to nature of facts which is very noisy and time varying.
However, this hypothesis has been featured by several empirical experiential studies and a number of researchers have efficiently applied machine learning techniques to forecast stock market.
This paper studied stock prediction for the use of investors.
It is always true that investors typically obtain loss because of uncertain investment purposes and unsighted assets.
This paper proposes a rough set model, a neural network model, and a hybrid neural network and rough set model to find optimal buy and sell of a share on Dhaka stock exchange.
Investigational findings demonstrate that our proposed hybrid model has higher precision than the single rough set model and the neural network model.
We believe this paper findings will help stock investors to decide about optimal buy and/or sell time on Dhaka stock exchange.
American Psychological Association (APA)
Banik, Shipra& Khodadad Khan, A. F. M.& Anwer, Mohammed. 2014. Hybrid Machine Learning Technique for Forecasting Dhaka Stock Market Timing Decisions. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-463107
Modern Language Association (MLA)
Banik, Shipra…[et al.]. Hybrid Machine Learning Technique for Forecasting Dhaka Stock Market Timing Decisions. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-463107
American Medical Association (AMA)
Banik, Shipra& Khodadad Khan, A. F. M.& Anwer, Mohammed. Hybrid Machine Learning Technique for Forecasting Dhaka Stock Market Timing Decisions. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-463107
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-463107