A Hybrid System for Forecasting Stock Price Variations in the Stock Market

Author

Rajasinghe, R.M.C.D.K. ; Weerapperuma, W.D.N.M. ; Wijesinghe, W.U.N.N. ; Rathnayake, K.K.K.P. ; Seneviratne, L.

Author_Institution

Fac. of Comput., Sri Lanka Inst. of Inf. Technol., Malabe, Sri Lanka

fYear

2014

Firstpage

1

Lastpage

8

Abstract

Stock Market is the platform that enables investors to channel their savings to generate a profit. Companies pay dividends for the shareholders at the end of a profitable period. The Random Walk Hypothesis governs the Stock Prices as the prices are stated as total random fluctuations that cannot be predicted. Hybrid System for Forecasting Stock Prices Variations in the Stock Market (Hybrid Forecaster) is a research carried out to implement a decision support system that provides insight for selecting profitable stocks using forecasting methodologies. Multitude of researches carried out in this field are limited to forecasting stock market using a single standpoint that affects the stock prices. The research explores critical elements that affects the prices from multiple dimensions.

Keywords

decision support systems; financial data processing; forecasting theory; pricing; stock markets; companies; decision support system; forecasting methodologies; hybrid system; investors; profitable period; profitable stocks; random walk hypothesis; stock market; stock price variations forecasting; total random fluctuations; Companies; Forecasting; Market research; Prediction algorithms; Predictive models; Stock markets; Time series analysis; Predictions; Random Walk Hypothesis; Stock Market;

fLanguage

English

Publisher

ieee

Conference_Titel

Software, Knowledge, Information Management and Applications (SKIMA), 2014 8th International Conference on

Type

conf

DOI

10.1109/SKIMA.2014.7083389

Filename

7083389