Το work with title Gold price forecasting with a neuro-fuzzy-based inference system by Makridou Georgia, Atsalakis Georgios, Zopounidis Konstantinos, Andriosopoulos, Kostas is licensed under Creative Commons Attribution 4.0 International
Bibliographic Citation
G. Makridou, G. S. Atsalakis, C. Zopounidis and K. Andriosopoulos, "Gold price forecasting with a neuro-fuzzy-based inference system", Int. J. Financ. Eng. Risk Manage., vol. 1, no. 1, pp. 35-54, 2013. doi:10.1504/IJFERM.2013.053707
https://doi.org/10.1504/IJFERM.2013.053707
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.