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A hybrid intelligent model using technical and fundamental analysis to forecasting stock price index
464 viewed

A hybrid intelligent model using technical and fundamental analysis to forecasting stock price index

Shavandi, H

A hybrid intelligent model using technical and fundamental analysis to forecasting stock price index

Shavandi, H ; Sharif University of Technology | 2010

464 Viewed
  1. Type of Document: Article
  2. Publisher: 2010
  3. Abstract:
  4. In this paper we develop a hybrid forecasting model which combines artificial intelligence and technical analysis to predict short-term stock price index. The results show that using technical indices as neural network's inputs yields good performance in forecasting short-term prices, but this model cannot predict long-term prices well. To overcome this shortcoming we have exploited a fuzzy inference system based on analyzing the historical effects of macro economic variables on the stock markets' indices. Our forecasting models differ from the other ones in two main aspects: the first one is analyzing previous macroeconomics trends in order to build a Mamdani FIS and the second one is providing two different techniques for short-term and long-term predictions. These models allow decision makers to forecast prices by using minimum data and calculations. The good performance of the proposed model is confirmed by real stock market data
  5. Keywords:
  6. Forecasting ; Fundamental analysis ; Fuzzy inference system ; Neural networks ; Stock price index ; Technical analysis
  7. Source: Economic Computation and Economic Cybernetics Studies and Research ; Volume 44, Issue 2 , 2010 , Pages 95-112 ; 0424267X (ISSN)
  8. URL: http://en.journals.sid.ir/ViewPaper.aspx?ID=175968