Stock Market Prediction and Investment Portfolio SelectionUsing Computational Approach
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3
Abstract
Abstract: Stock Market is considered as one of the fundamental pillars of national economy, as the importantpurpose of stock market in the economy is to raise capital and also to transfer funds to the most profitableopportunities, Therefore Predicting Stock Price, Predicting Timing and Selection of Portfolio are considered asseveral extremely complex situations in stock market. because, they are affected by many interrelated economic,social, political and even psychological factors at both local and global levels and all these factors areinterrelated with each other in a very critical manner, These makes use of Mathematical Approaches & SoftComputing techniques combinely. These techniques can be used to select scripts in the portfolio and predictstock price or trading signal automatically with acceptable precision in order to retrieve information that couldhelp to suggest investors on whether to Buy, Hold or Sell. This paper reviews the literature concerning differentcomputational methods, such as linear programming, goal programming, data mining and soft computingstrategies with an emphasis on the historical perspective and from many other resources such as, web sources, research papers, articles etc. The various fundamental, technical, economical and political factors of IndianStock Market are considered.
Authors and Affiliations
Keerti. S. Mahajan , Dr. R . V. Kulkarni
Keywords
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