Forecast and Compare of Stock Price Index at Tehran Stock Exchange using Fibonacci and Fuzzy Method

In most countries stock exchange is central part of capital market and huge amount of expenses directs wandering assets toward generative and active units of the society such as manufacturing and service plants. This shall lead into employment, production and stable economic growth. For this purpose, forecast of limits and trend of price indices of stock are concerned by investors. There are different techniques to forecast index. Herein this research, for forecast of stock price index at Tehran Stock Exchange, two methods of Fibonacci and Fuzzy are used. For this purpose, daily time series data in period of 2006–2011 has been used: Accuracy of estimation of models has been compared, using error square average statistical index. The results indicate more accuracy of forecast using Fibonacci.