Modeling the Dependency between Extreme Prices of Selected Agricultural Products on the Derivatives Market Using the Linkage Function

The purpose of the article is to identify and estimate the dependency model for the extreme prices of agricultural products listed on the Chicago Mercantile Exchange. The article presents the results of the first stage of research covering the time interval 1975−2010. The selected products...

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Main Authors: Zofia Gródek-Szostak, Gabriela Malik, Danuta Kajrunajtys, Anna Szeląg-Sikora, Jakub Sikora, Maciej Kuboń, Marcin Niemiec, Joanna Kapusta-Duch
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/15/4144
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spelling doaj-2dd0f5cc5608483b84294d82c50444632020-11-24T21:38:51ZengMDPI AGSustainability2071-10502019-08-011115414410.3390/su11154144su11154144Modeling the Dependency between Extreme Prices of Selected Agricultural Products on the Derivatives Market Using the Linkage FunctionZofia Gródek-Szostak0Gabriela Malik1Danuta Kajrunajtys2Anna Szeląg-Sikora3Jakub Sikora4Maciej Kuboń5Marcin Niemiec6Joanna Kapusta-Duch7Department of Economics and Organization of Enterprises, Cracow University of Economics, Krakow 31-510, PolandHigher School of Economics and Computer Science in Krakow, Kraków 31-510, PolandDepartment of International Management, Cracow University of Economics, Krakow 31-510, PolandInstitute of Agricultural Engineering and Informatics, University of Agriculture in Krakow, Krakow 30-149, PolandInstitute of Agricultural Engineering and Informatics, University of Agriculture in Krakow, Krakow 30-149, PolandInstitute of Agricultural Engineering and Informatics, University of Agriculture in Krakow, Krakow 30-149, PolandDepartment of Agricultural and Environmental Chemistry, University of Agriculture in Krakow, Krakow 31-120, PolandDepartment of Human Nutrition, Faculty of Food Technology, University of Agriculture in Krakow, Krakow 30-149, PolandThe purpose of the article is to identify and estimate the dependency model for the extreme prices of agricultural products listed on the Chicago Mercantile Exchange. The article presents the results of the first stage of research covering the time interval 1975&#8722;2010. The selected products are: Corn, soybean and wheat. The analysis of the dependency between extreme price values on the selected futures was based on the estimation of five models of two-dimensional extreme value copulas, namely, the Galambos copula, the Gumbel copula, the Husler&#8722;Reiss copula, the Tawn asymmetric copula and the <i>t</i>-EV copula. The next stage of the analysis was to test whether the structure of the dependency described with the estimated copulas is a sufficient approximation of reality, and whether it is suitable for modeling empirical data. The quality of matching the estimated copulas to empirical data of return rates of agricultural products was assessed. For this purpose, the Kendall coefficient was calculated, and the methodology of the empirical combining function was used. The conducted research allowed for the determination of the conduct for this kind of phenomena as it is crucial in the process of investing in derivatives markets. The analyzed phenomena are highly dependent on e.g., financial crises, war, or market speculation but also on drought, fires, rainfall, or even crop oversupply. The conducted analysis is of key importance in terms of balancing agricultural production on a global scale. It should be emphasized that conducting market analysis of agricultural products at the Chicago Mercantile Exchange in the context of competition with the agricultural market of the European Union is of significant importance.https://www.mdpi.com/2071-1050/11/15/4144agricultural productpricemodelingmanagement
collection DOAJ
language English
format Article
sources DOAJ
author Zofia Gródek-Szostak
Gabriela Malik
Danuta Kajrunajtys
Anna Szeląg-Sikora
Jakub Sikora
Maciej Kuboń
Marcin Niemiec
Joanna Kapusta-Duch
spellingShingle Zofia Gródek-Szostak
Gabriela Malik
Danuta Kajrunajtys
Anna Szeląg-Sikora
Jakub Sikora
Maciej Kuboń
Marcin Niemiec
Joanna Kapusta-Duch
Modeling the Dependency between Extreme Prices of Selected Agricultural Products on the Derivatives Market Using the Linkage Function
Sustainability
agricultural product
price
modeling
management
author_facet Zofia Gródek-Szostak
Gabriela Malik
Danuta Kajrunajtys
Anna Szeląg-Sikora
Jakub Sikora
Maciej Kuboń
Marcin Niemiec
Joanna Kapusta-Duch
author_sort Zofia Gródek-Szostak
title Modeling the Dependency between Extreme Prices of Selected Agricultural Products on the Derivatives Market Using the Linkage Function
title_short Modeling the Dependency between Extreme Prices of Selected Agricultural Products on the Derivatives Market Using the Linkage Function
title_full Modeling the Dependency between Extreme Prices of Selected Agricultural Products on the Derivatives Market Using the Linkage Function
title_fullStr Modeling the Dependency between Extreme Prices of Selected Agricultural Products on the Derivatives Market Using the Linkage Function
title_full_unstemmed Modeling the Dependency between Extreme Prices of Selected Agricultural Products on the Derivatives Market Using the Linkage Function
title_sort modeling the dependency between extreme prices of selected agricultural products on the derivatives market using the linkage function
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2019-08-01
description The purpose of the article is to identify and estimate the dependency model for the extreme prices of agricultural products listed on the Chicago Mercantile Exchange. The article presents the results of the first stage of research covering the time interval 1975&#8722;2010. The selected products are: Corn, soybean and wheat. The analysis of the dependency between extreme price values on the selected futures was based on the estimation of five models of two-dimensional extreme value copulas, namely, the Galambos copula, the Gumbel copula, the Husler&#8722;Reiss copula, the Tawn asymmetric copula and the <i>t</i>-EV copula. The next stage of the analysis was to test whether the structure of the dependency described with the estimated copulas is a sufficient approximation of reality, and whether it is suitable for modeling empirical data. The quality of matching the estimated copulas to empirical data of return rates of agricultural products was assessed. For this purpose, the Kendall coefficient was calculated, and the methodology of the empirical combining function was used. The conducted research allowed for the determination of the conduct for this kind of phenomena as it is crucial in the process of investing in derivatives markets. The analyzed phenomena are highly dependent on e.g., financial crises, war, or market speculation but also on drought, fires, rainfall, or even crop oversupply. The conducted analysis is of key importance in terms of balancing agricultural production on a global scale. It should be emphasized that conducting market analysis of agricultural products at the Chicago Mercantile Exchange in the context of competition with the agricultural market of the European Union is of significant importance.
topic agricultural product
price
modeling
management
url https://www.mdpi.com/2071-1050/11/15/4144
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