Building a Sustainable GARCH Model to Forecast Rubber Price: Modified Huber Weighting Function Approach

The unstable and uncertain nature of natural rubber prices makes them highly volatile and prone to outliers, which can have a significant impact on both modeling and forecasting. To tackle this issue, the author recommends a hybrid model that combines the autoregressive (AR) and Generalized Autoreg...

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Main Authors: Intan Martina Md Ghani, Hanafi A Rahim
Format: Article
Language:English
Published: University of Baghdad, College of Science for Women 2024-02-01
Series:مجلة بغداد للعلوم
Subjects:
Online Access:https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/7489
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author Intan Martina Md Ghani
Hanafi A Rahim
author_facet Intan Martina Md Ghani
Hanafi A Rahim
author_sort Intan Martina Md Ghani
collection DOAJ
description The unstable and uncertain nature of natural rubber prices makes them highly volatile and prone to outliers, which can have a significant impact on both modeling and forecasting. To tackle this issue, the author recommends a hybrid model that combines the autoregressive (AR) and Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models. The model utilizes the Huber weighting function to ensure the forecast value of rubber prices remains sustainable even in the presence of outliers. The study aims to develop a sustainable model and forecast daily prices for a 12-day period by analyzing 2683 daily price data from Standard Malaysian Rubber Grade 20 (SMR 20) in Malaysia. The analysis incorporates two dispersion measurements (IQR/3 and Sn) and three levels of IO contamination 0%, 10%, and 20%. The results indicate that using the Huber weighting function with the IQR/3 measurement to build the AR(1)-GARCH(2,1) model leads to better sustainability. These findings have the potential to enhance the GARCH model by modifying the weighting function of the M-estimator
format Article
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issn 2078-8665
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language English
publishDate 2024-02-01
publisher University of Baghdad, College of Science for Women
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series مجلة بغداد للعلوم
spelling doaj-art-ba98ef113cd8492fb34ad01f76d014dc2025-08-20T02:51:24ZengUniversity of Baghdad, College of Science for Womenمجلة بغداد للعلوم2078-86652411-79862024-02-0121210.21123/bsj.2023.7489Building a Sustainable GARCH Model to Forecast Rubber Price: Modified Huber Weighting Function ApproachIntan Martina Md Ghani0Hanafi A Rahim 1Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu Darul Iman, Malaysia Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu Darul Iman, Malaysia The unstable and uncertain nature of natural rubber prices makes them highly volatile and prone to outliers, which can have a significant impact on both modeling and forecasting. To tackle this issue, the author recommends a hybrid model that combines the autoregressive (AR) and Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models. The model utilizes the Huber weighting function to ensure the forecast value of rubber prices remains sustainable even in the presence of outliers. The study aims to develop a sustainable model and forecast daily prices for a 12-day period by analyzing 2683 daily price data from Standard Malaysian Rubber Grade 20 (SMR 20) in Malaysia. The analysis incorporates two dispersion measurements (IQR/3 and Sn) and three levels of IO contamination 0%, 10%, and 20%. The results indicate that using the Huber weighting function with the IQR/3 measurement to build the AR(1)-GARCH(2,1) model leads to better sustainability. These findings have the potential to enhance the GARCH model by modifying the weighting function of the M-estimator https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/7489 Autoregressive, Dispersion, Forecasting, GARCH, Huber
spellingShingle Intan Martina Md Ghani
Hanafi A Rahim
Building a Sustainable GARCH Model to Forecast Rubber Price: Modified Huber Weighting Function Approach
مجلة بغداد للعلوم
Autoregressive, Dispersion, Forecasting, GARCH, Huber
title Building a Sustainable GARCH Model to Forecast Rubber Price: Modified Huber Weighting Function Approach
title_full Building a Sustainable GARCH Model to Forecast Rubber Price: Modified Huber Weighting Function Approach
title_fullStr Building a Sustainable GARCH Model to Forecast Rubber Price: Modified Huber Weighting Function Approach
title_full_unstemmed Building a Sustainable GARCH Model to Forecast Rubber Price: Modified Huber Weighting Function Approach
title_short Building a Sustainable GARCH Model to Forecast Rubber Price: Modified Huber Weighting Function Approach
title_sort building a sustainable garch model to forecast rubber price modified huber weighting function approach
topic Autoregressive, Dispersion, Forecasting, GARCH, Huber
url https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/7489
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AT hanafiarahim buildingasustainablegarchmodeltoforecastrubberpricemodifiedhuberweightingfunctionapproach