Correlation Clustering: Analysis of Major Agricultural Commodity Markets

The aim of this article is to compare the clusters formed by the correlation distances between the agricultural and the energy commodity price returns in different periods of time. The energy and agricultural markets have become more interlinked in the past ten years, which can be attributed partly...

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Main Author: János Szenderák
Format: Article
Language:English
Published: Faculty of Engineering, University of Debrecen 2018-07-01
Series:International Journal of Engineering and Management Sciences
Online Access:https://ojs.lib.unideb.hu/IJEMS/article/view/5053
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author János Szenderák
author_facet János Szenderák
author_sort János Szenderák
collection DOAJ
description The aim of this article is to compare the clusters formed by the correlation distances between the agricultural and the energy commodity price returns in different periods of time. The energy and agricultural markets have become more interlinked in the past ten years, which can be attributed partly to the increased usage of biofuels. According to the results of this research, after the global financial and economic crisis of 2008/09, the relationship has become tighter between the agricultural commodity prices and the price of the crude oil. Based on the hierarchical clustering, the relationship between crude oil and sugar, and especially between crude oil and vegetable oils has become stronger. These results support the hypothesis of a more interconnected agricultural and energy market after 2013. Furthermore, the emerged relationship of crude oil with the vegetable oils may indicate the connecting role of biofuels, since biofuels require agricultural input materials, partly vegetable oils. However, the role of biofuels in the present analysis requires further researches.
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spelling doaj.art-daf292ee65ec4fce975d69e805bd3fee2023-10-20T12:58:13ZengFaculty of Engineering, University of DebrecenInternational Journal of Engineering and Management Sciences2498-700X2018-07-013310.21791/IJEMS.2018.3.24.Correlation Clustering: Analysis of Major Agricultural Commodity MarketsJános Szenderák0University of Debrecen, Faculty of Economics and Business, Department of Agricultural Economics The aim of this article is to compare the clusters formed by the correlation distances between the agricultural and the energy commodity price returns in different periods of time. The energy and agricultural markets have become more interlinked in the past ten years, which can be attributed partly to the increased usage of biofuels. According to the results of this research, after the global financial and economic crisis of 2008/09, the relationship has become tighter between the agricultural commodity prices and the price of the crude oil. Based on the hierarchical clustering, the relationship between crude oil and sugar, and especially between crude oil and vegetable oils has become stronger. These results support the hypothesis of a more interconnected agricultural and energy market after 2013. Furthermore, the emerged relationship of crude oil with the vegetable oils may indicate the connecting role of biofuels, since biofuels require agricultural input materials, partly vegetable oils. However, the role of biofuels in the present analysis requires further researches. https://ojs.lib.unideb.hu/IJEMS/article/view/5053
spellingShingle János Szenderák
Correlation Clustering: Analysis of Major Agricultural Commodity Markets
International Journal of Engineering and Management Sciences
title Correlation Clustering: Analysis of Major Agricultural Commodity Markets
title_full Correlation Clustering: Analysis of Major Agricultural Commodity Markets
title_fullStr Correlation Clustering: Analysis of Major Agricultural Commodity Markets
title_full_unstemmed Correlation Clustering: Analysis of Major Agricultural Commodity Markets
title_short Correlation Clustering: Analysis of Major Agricultural Commodity Markets
title_sort correlation clustering analysis of major agricultural commodity markets
url https://ojs.lib.unideb.hu/IJEMS/article/view/5053
work_keys_str_mv AT janosszenderak correlationclusteringanalysisofmajoragriculturalcommoditymarkets