
	Trends in Applied Sciences Research
	Year: 2011 \| Volume: 6 \| Issue: 11 \| Page No.: 1287-1292 DOI: 10.17311/tasr.2011.1287.1292

Time Series Grey System Prediction-based Models: Gold Price Forecasting

Mehdi Askari and Hadi Askari

Abstract: The Grey Model GM (1, 1) based on the grey system theory has been extensively used as a powerful tool for data forecasting in recent years. In this study, the accuracies of two different grey models include original GM (1, 1) and modified GM (1, 1) using Fourier series have been investigated. So, the performance of these models has been compared with ARIMA as a conventional forecasting model. For this purpose, gold price as a high noisy data has been used. Numerical results was showed that the modified GM (1, 1) provides better performance in model fitting and model forecasting.

PDF Fulltext XML References Citation Report Citation

RELATED ARTICLES:

•	Pseudo-Additive (Mixed) Fourier Series Model of Time Series

•	Time Series Regression Model for Forecasting Malaysian Electricity Load Demand

•	Scheduling the Criteria for Outsourcing Performances by Grey Decision-Making Method: A Case Study of Electronic Industry in Taiwan

•	A New Model for Information Fusion based on Grey Theory

How to cite this article:

Mehdi Askari and Hadi Askari, 2011. Time Series Grey System Prediction-based Models: Gold Price Forecasting. Trends in Applied Sciences Research, 6: 1287-1292.

DOI: 10.17311/tasr.2011.1287.1292

URL: https://scialert.net/abstract/?doi=tasr.2011.1287.1292

COMMENT ON THIS PAPER

Navigation


		Previous Issues
		Submit a Manuscript