@article{2016,title={FORECASTING STOCK INDEX RETURN WITH NEURO FUZZY NETWORK STRUCTURE: BORSA İSTANBUL (BIST) 100 CASE},abstractNode={The subject of this research is forecasting the main indicator of Borsa İstanbul stock market, BIST 100 index return, with using Fuzzy neural network. Although it has not achieved sufficient efficiency and depth in Turkey, stock market index is assumed as an alternative investment tool. Thus main field of this study is determined to be stock market index. Also, excessive return rate observed in some years makes index more interesting. Stock indexes are the parameters that may be indicators of the overall economic trend. Macroeconomic factors, were selected as independent variables in forecasting the return of the index. Ounce gold price, currency basket, the consumer price index, interest rate on deposits, the Dow Jones index, the current account deficit and gross domestic product are independent variables of the study. The model was used to forecast is Artificial Neural Networks backed by fuzzy inference systems, which is Adaptive Neuro-Fuzzy Inference System-ANFIS approach. Analysis},author={Fatih GÜZEL-- Melek ACAR BOYACIOĞLU,},year={2016},journal={The Journal of Academic Social Science}}