Time-frequency analysis of financial stress and global commodities prices: Insights from wavelet-based approaches

We examine the time-frequency lead–lag relationships and the degree of integration between the US financial stress index and global commodity prices (i.e., oil, gold, silver, and cocoa) with data covering over 47 decades (January 1975 to December 2021). For this purpose, we resort to the bi- and mul...

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Main Authors: Mohammed Armah, Godfred Amewu, Ahmed Bossman
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Cogent Economics & Finance
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Online Access:https://www.tandfonline.com/doi/10.1080/23322039.2022.2114161
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author Mohammed Armah
Godfred Amewu
Ahmed Bossman
author_facet Mohammed Armah
Godfred Amewu
Ahmed Bossman
author_sort Mohammed Armah
collection DOAJ
description We examine the time-frequency lead–lag relationships and the degree of integration between the US financial stress index and global commodity prices (i.e., oil, gold, silver, and cocoa) with data covering over 47 decades (January 1975 to December 2021). For this purpose, we resort to the bi- and multiple wavelet econometric approaches. Findings from the bivariate wavelet analysis evidence the significant influence of the US financial stress in driving the price-generating process in commodities markets. Our findings support the hedging abilities of commodities across the time-frequency space. Findings from the multiple correlations explicate that the interrelation between the commodities and financial stress is attributable to their interdependence in the long term during financial market meltdowns. The dynamic and nonhomogeneous lead/lag relations underscored by our findings highlight the importance of cross-commodity investments. As such, by acknowledging the response of different commodities to financial stress, asset allocation should factor in commodities that offer opposing responses to a financial stress to hedge downside risks associated with portfolios. Our findings are of interest to regulators, risk managers, investors, and commodities producers.
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spelling doaj-art-7197b399324149fbb10e00bfa7b43e592025-08-20T03:12:40ZengTaylor & Francis GroupCogent Economics & Finance2332-20392022-12-0110110.1080/23322039.2022.2114161Time-frequency analysis of financial stress and global commodities prices: Insights from wavelet-based approachesMohammed Armah0Godfred Amewu1Ahmed Bossman2School of Business, Ghana Institute of Management and Public Administration (GIMPA), Accra, GhanaDepartment of Finance, School of Business, University of Ghana, Legon, GhanaDepartment of Finance, School of Business, University of Cape Coast, Cape Coast, GhanaWe examine the time-frequency lead–lag relationships and the degree of integration between the US financial stress index and global commodity prices (i.e., oil, gold, silver, and cocoa) with data covering over 47 decades (January 1975 to December 2021). For this purpose, we resort to the bi- and multiple wavelet econometric approaches. Findings from the bivariate wavelet analysis evidence the significant influence of the US financial stress in driving the price-generating process in commodities markets. Our findings support the hedging abilities of commodities across the time-frequency space. Findings from the multiple correlations explicate that the interrelation between the commodities and financial stress is attributable to their interdependence in the long term during financial market meltdowns. The dynamic and nonhomogeneous lead/lag relations underscored by our findings highlight the importance of cross-commodity investments. As such, by acknowledging the response of different commodities to financial stress, asset allocation should factor in commodities that offer opposing responses to a financial stress to hedge downside risks associated with portfolios. Our findings are of interest to regulators, risk managers, investors, and commodities producers.https://www.tandfonline.com/doi/10.1080/23322039.2022.2114161financial stressglobal commodities pricescommodity financialisationbivariate waveletwavelet multiple correlationsinterdependence
spellingShingle Mohammed Armah
Godfred Amewu
Ahmed Bossman
Time-frequency analysis of financial stress and global commodities prices: Insights from wavelet-based approaches
Cogent Economics & Finance
financial stress
global commodities prices
commodity financialisation
bivariate wavelet
wavelet multiple correlations
interdependence
title Time-frequency analysis of financial stress and global commodities prices: Insights from wavelet-based approaches
title_full Time-frequency analysis of financial stress and global commodities prices: Insights from wavelet-based approaches
title_fullStr Time-frequency analysis of financial stress and global commodities prices: Insights from wavelet-based approaches
title_full_unstemmed Time-frequency analysis of financial stress and global commodities prices: Insights from wavelet-based approaches
title_short Time-frequency analysis of financial stress and global commodities prices: Insights from wavelet-based approaches
title_sort time frequency analysis of financial stress and global commodities prices insights from wavelet based approaches
topic financial stress
global commodities prices
commodity financialisation
bivariate wavelet
wavelet multiple correlations
interdependence
url https://www.tandfonline.com/doi/10.1080/23322039.2022.2114161
work_keys_str_mv AT mohammedarmah timefrequencyanalysisoffinancialstressandglobalcommoditiespricesinsightsfromwaveletbasedapproaches
AT godfredamewu timefrequencyanalysisoffinancialstressandglobalcommoditiespricesinsightsfromwaveletbasedapproaches
AT ahmedbossman timefrequencyanalysisoffinancialstressandglobalcommoditiespricesinsightsfromwaveletbasedapproaches