Assessing forecasting performance on gold data using artificial neural network based models
Gold is the most stable commodity when compared to oil, crypto currency and even stock bonds. It is to gold that men turn to in the midst of political and monetary vulnerability, a place of refuge that gives versatile store of value, the common insurance hedge against bankruptcy and chaos. Forecasti...
Main Author: | Ahmad, Mohammad Ridwan Reyaz |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://eprints.utm.my/101809/1/MohammadRidhwanReyezMFS2019.pdf |
Similar Items
-
Assessing forecasting performance on gold data using artificial neural network based models /
by: Mohammad Ridwan Reyaz Ahmad, 1981-, supervisor 639906
Published: (2019) -
Assessing forecasting performance on gold data using artificial neural network based models /
by: Mohammad Ridwan Reyaz Ahmad, 1981-, author 639906, et al.
Published: (2019) -
Artificial neural network forecasting performance with missing value imputations
by: Abd. Rahman, N. H., et al.
Published: (2020) -
Forecasting on House Price Index using Artificial Neural Network
by: Gobalkrishnan, Gangaieisvari, et al.
Published: (2023) -
Artificial neural networks and fuzzy time series forecasting: an application to air quality
by: Abd. Rahman, Nur Haizum, et al.
Published: (2015)