A Hybrid Model for Improving Malaysian Gold Forecast Accuracy

A hybrid model has been considered an effective way to improve forecast accuracy. This paper proposes the hybrid model of the linear autoregressive moving average (ARIMA) and the non-linear generalized autoregressive conditional heteroscedasticity (GARCH) in modeling and forecasting. Malaysian gold...

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Main Authors: Maizah Hura, Ahmad, Pung, Yean Ping, Siti Roslindar, Yaziz, Nor Hamizah, Miswan
Format: Article
Language:English
Published: Hikari Ltd 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/7489/
http://umpir.ump.edu.my/id/eprint/7489/1/A_Hybrid_Model_for_Improving_Malaysian_Gold_Forecast_Accuracy.pdf
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author Maizah Hura, Ahmad
Pung, Yean Ping
Siti Roslindar, Yaziz
Nor Hamizah, Miswan
author_facet Maizah Hura, Ahmad
Pung, Yean Ping
Siti Roslindar, Yaziz
Nor Hamizah, Miswan
author_sort Maizah Hura, Ahmad
building UMP Institutional Repository
collection Online Access
description A hybrid model has been considered an effective way to improve forecast accuracy. This paper proposes the hybrid model of the linear autoregressive moving average (ARIMA) and the non-linear generalized autoregressive conditional heteroscedasticity (GARCH) in modeling and forecasting. Malaysian gold price is used to present the development of the hybrid model. The goodness of fit of the model is measured using Akaike information criteria (AIC) while the forecasting performance is assessed using bias, variance proportion, covariance proportion and mean absolute percentage error (MAPE).
first_indexed 2025-11-15T01:30:53Z
format Article
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institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T01:30:53Z
publishDate 2014
publisher Hikari Ltd
recordtype eprints
repository_type Digital Repository
spelling ump-74892018-06-27T08:45:29Z http://umpir.ump.edu.my/id/eprint/7489/ A Hybrid Model for Improving Malaysian Gold Forecast Accuracy Maizah Hura, Ahmad Pung, Yean Ping Siti Roslindar, Yaziz Nor Hamizah, Miswan Q Science (General) A hybrid model has been considered an effective way to improve forecast accuracy. This paper proposes the hybrid model of the linear autoregressive moving average (ARIMA) and the non-linear generalized autoregressive conditional heteroscedasticity (GARCH) in modeling and forecasting. Malaysian gold price is used to present the development of the hybrid model. The goodness of fit of the model is measured using Akaike information criteria (AIC) while the forecasting performance is assessed using bias, variance proportion, covariance proportion and mean absolute percentage error (MAPE). Hikari Ltd 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7489/1/A_Hybrid_Model_for_Improving_Malaysian_Gold_Forecast_Accuracy.pdf Maizah Hura, Ahmad and Pung, Yean Ping and Siti Roslindar, Yaziz and Nor Hamizah, Miswan (2014) A Hybrid Model for Improving Malaysian Gold Forecast Accuracy. International Journal of Mathematical Analysis, 8 (28). pp. 1377-1387. ISSN 1312-8876 (print); 1314-7579 (online). (Published) http://dx.doi.org/10.12988/ijma.2014.45139 DOI: 10.12988/ijma.2014.45139
spellingShingle Q Science (General)
Maizah Hura, Ahmad
Pung, Yean Ping
Siti Roslindar, Yaziz
Nor Hamizah, Miswan
A Hybrid Model for Improving Malaysian Gold Forecast Accuracy
title A Hybrid Model for Improving Malaysian Gold Forecast Accuracy
title_full A Hybrid Model for Improving Malaysian Gold Forecast Accuracy
title_fullStr A Hybrid Model for Improving Malaysian Gold Forecast Accuracy
title_full_unstemmed A Hybrid Model for Improving Malaysian Gold Forecast Accuracy
title_short A Hybrid Model for Improving Malaysian Gold Forecast Accuracy
title_sort hybrid model for improving malaysian gold forecast accuracy
topic Q Science (General)
url http://umpir.ump.edu.my/id/eprint/7489/
http://umpir.ump.edu.my/id/eprint/7489/
http://umpir.ump.edu.my/id/eprint/7489/
http://umpir.ump.edu.my/id/eprint/7489/1/A_Hybrid_Model_for_Improving_Malaysian_Gold_Forecast_Accuracy.pdf