Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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EL
| URI: | http://purl.tuc.gr/dl/dias/39A9975F-AEFA-4061-A19B-EDD10EBA0B10 | ||
| Έτος | 2013 | ||
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | 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 | ||
| Εμφανίζεται στις Συλλογές |
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.
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