Volatility model estimations of palm oil price returns via long-memory, asymmetric and heavy-tailed GARCH parameterization

This study attempts to model the volatility of palm oil price returns via a number of Generalized Autoregressive Conditional Heteroskedasticity class of models that capture the long-range memory, asymmetry, and heavy-tailedness phenomena. These models have been estimated in the presence of four alte...

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Main Authors: Hasanov, Akram, Shitan, Mahendran
Format: Article
Language:English
Published: Institute for Mathematical Research, Universiti Putra Malaysia 2014
Online Access:http://psasir.upm.edu.my/id/eprint/38936/
http://psasir.upm.edu.my/id/eprint/38936/1/38936.pdf
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author Hasanov, Akram
Shitan, Mahendran
author_facet Hasanov, Akram
Shitan, Mahendran
author_sort Hasanov, Akram
building UPM Institutional Repository
collection Online Access
description This study attempts to model the volatility of palm oil price returns via a number of Generalized Autoregressive Conditional Heteroskedasticity class of models that capture the long-range memory, asymmetry, and heavy-tailedness phenomena. These models have been estimated in the presence of four alternative conditional distributions: Gaussian, Student t, generalized error distribution, and skewed Student t. The empirical results indicate that complex model specifications and distribution assumptions do not seem to outperform the simpler ones in terms of standard model selection criteria and numerical convergence. With regard to the conditional distributions, a symmetric fat-tailed distribution has been found to be preferred to Gaussian and asymmetric distribution in many cases.
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spelling upm-389362015-09-04T13:22:48Z http://psasir.upm.edu.my/id/eprint/38936/ Volatility model estimations of palm oil price returns via long-memory, asymmetric and heavy-tailed GARCH parameterization Hasanov, Akram Shitan, Mahendran This study attempts to model the volatility of palm oil price returns via a number of Generalized Autoregressive Conditional Heteroskedasticity class of models that capture the long-range memory, asymmetry, and heavy-tailedness phenomena. These models have been estimated in the presence of four alternative conditional distributions: Gaussian, Student t, generalized error distribution, and skewed Student t. The empirical results indicate that complex model specifications and distribution assumptions do not seem to outperform the simpler ones in terms of standard model selection criteria and numerical convergence. With regard to the conditional distributions, a symmetric fat-tailed distribution has been found to be preferred to Gaussian and asymmetric distribution in many cases. Institute for Mathematical Research, Universiti Putra Malaysia 2014-01 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/38936/1/38936.pdf Hasanov, Akram and Shitan, Mahendran (2014) Volatility model estimations of palm oil price returns via long-memory, asymmetric and heavy-tailed GARCH parameterization. Malaysian Journal of Mathematical Sciences, 8 (1). pp. 15-34. ISSN 1823-8343; ESSN: 2289-750X http://einspem.upm.edu.my/journal/fullpaper/vol8/2.%20AKRAM%20&%20MAHENDRAN.pdf
spellingShingle Hasanov, Akram
Shitan, Mahendran
Volatility model estimations of palm oil price returns via long-memory, asymmetric and heavy-tailed GARCH parameterization
title Volatility model estimations of palm oil price returns via long-memory, asymmetric and heavy-tailed GARCH parameterization
title_full Volatility model estimations of palm oil price returns via long-memory, asymmetric and heavy-tailed GARCH parameterization
title_fullStr Volatility model estimations of palm oil price returns via long-memory, asymmetric and heavy-tailed GARCH parameterization
title_full_unstemmed Volatility model estimations of palm oil price returns via long-memory, asymmetric and heavy-tailed GARCH parameterization
title_short Volatility model estimations of palm oil price returns via long-memory, asymmetric and heavy-tailed GARCH parameterization
title_sort volatility model estimations of palm oil price returns via long-memory, asymmetric and heavy-tailed garch parameterization
url http://psasir.upm.edu.my/id/eprint/38936/
http://psasir.upm.edu.my/id/eprint/38936/
http://psasir.upm.edu.my/id/eprint/38936/1/38936.pdf