Bonfring International Journal of Software Engineering and Soft Computing
Online ISSN: 2277-5099 | Print ISSN: 2250-1045 | Frequency: 4 Issues/Year
Impact Factor: 0.375 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)
Fundamental Analysis of Financial Parameters and Ranking using Artificial Neural Network
Abstract:
Investing in stock market has been one of the most profitable options for people since long time as it yields high returns. But it is associated with a greater risk because stock price movements of a particular company depend on various factors such as market position, world economy, country's economy, company's growth, performance, etc. Hence, it requires a profound knowledge and a complete understanding of the company stocks, its performance, the global scenario, etc. for making safe investment decisions. In this context, many algorithms have been proposed and tools have been developed using which the stock market data has been analyzed and stock price movements have been predicted. In this paper an approach using Artificial Neural Network for classifying the companies based on the fundamental analysis of key financial ratios is presented. The result of this classification can then be used for ranking the companies for predicting the stock price in Indian market across different business sectors.
Keywords: Artificial Neural Network, Fundamental Analysis, Financial Parameter Ranking, Stock Price Movements.
Volume: 6 | Issue: Special Issue on Advances in Computer Science and Engineering and Workshop on Big Data Analytics Editors: Dr.S.B. Kulkarni, Dr.U.P. Kulkarni, Dr.S.M. Joshi and J.V. Vadavi
Pages: 134-139
Issue Date: October , 2016
DOI: 10.9756/BIJSESC.8260
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