Gold price forecasting with a neuro-fuzzy-based inference system
by Georgia Makridou; George S. Atsalakis; Constantinos Zopounidis; Kostas Andriosopoulos
International Journal of Financial Engineering and Risk Management (IJFERM), Vol. 1, No. 1, 2013

Abstract: Following the importance of gold in the global economy and the high interest that has attracted recently, the objective of this paper is twofold: to predict the price of gold by using the Adaptive Neuro-Fuzzy Inference System (ANFIS) and compare its forecasting accuracy with various time-series forecasting methods and the 'Buy and Hold' (B&H) strategy. The results show that the ANFIS's accuracy is far superior to the performance of all compared methods and therefore ANFIS demonstrates the potential of neuro fuzzy-based modelling for predicting the gold's price.

Online publication date: Wed, 10-Sep-2014

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