Application of Ensemble Machine Learning in the Predictive Data Analytics of Indian Stock Market
Journal Title: Webology - Year 2019, Vol 16, Issue 2
Abstract
The world of today is high frequency data driven and characterized by the application and use of information technology for better business development and decision making. The price movements of stock markets are mainly influenced by micro and macro economic variables, legal framework and taxation policies of the respective economies. The crux of the issue lies in exactly forecasting the future stock price movements of individual firms, based on historical or past prices. Achieving the accuracy for forecasting the market trend has become difficult due to the prevalence of stochastic behavior in the stock market and volatility in the stock prices. This paper analyses the stochasticity of movement pattern of the most volatile, fifty company stocks (in terms of market capitalization) of NSE-Nifty, using ensemble machine learning method. The findings of the study would help the investors, to make rational and well informed investment decisions, to optimize the stock returns by investing in the most valuable stocks.
Authors and Affiliations
Marxia Oli Sigo, Murugesan Selvam, Sankaran Venkateswar and Chinnadurai Kathiravan
Keywords
Related Articles
- EP ID EP687823
- DOI 10.14704/WEB/V16I2/a195
- Views 309
- Downloads 0
Benefits of Videos in YouTube for the Undergraduate Students in Engineering and Technology in India
The purpose of this paper is to find the reasons and preferences in the use of YouTube videos by the Indian undergraduate engineering and technology students. To find the use of YouTube videos as a supplementary source i...
Have digital repositories come of age? The views of library directors
This survey of approximately 150 repositories assessed the achievements, impact, and success of digital repositories. Results show that while the size and use of repositories has been relatively modest, almost half of al...
The human side of reference and information services in academic libraries: Adding value in the digital world
The application of digital technologies in libraries has mainly led to disintermediation which means, no mediation, serve yourself to information.
A Novel Hybrid Algorithm to Classify Spam Profiles in Twitter
Spam profile detection problem is a huge threat to social networks and poses severe challenges to safeguard the identity of users. The consequences due to the existence of spam profiles are alarming. Though several techn...
Distributed Denial of Service Attack Detection in Application Layer Based on User Behavior
Distributed Denial of Service (DDoS) attacks are a threat to the security of red. In recent years, these attacks have been directed especially towards the application layer. This phenomenon is mainly due to the large num...