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Forecasting Commodity Market Synchronization with Commodity Currencies: A Network-Based Approach

This paper shows that some commodity currencies (from Chile, Iceland, Norway, South Africa, Australia, Canada, and New Zealand) predict the synchronization of metals and energy commodities. This relationship links the present-value theory for exchange rates and its connection with commodity export e...

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Autores principales: Magner, Nicolas S., Hardy, Nicolás, Lavin, Jaime, Ferreira, Tiago
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137941/
https://www.ncbi.nlm.nih.gov/pubmed/37190350
http://dx.doi.org/10.3390/e25040562
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author Magner, Nicolas S.
Hardy, Nicolás
Lavin, Jaime
Ferreira, Tiago
author_facet Magner, Nicolas S.
Hardy, Nicolás
Lavin, Jaime
Ferreira, Tiago
author_sort Magner, Nicolas S.
collection PubMed
description This paper shows that some commodity currencies (from Chile, Iceland, Norway, South Africa, Australia, Canada, and New Zealand) predict the synchronization of metals and energy commodities. This relationship links the present-value theory for exchange rates and its connection with commodity export economies’ fundamentals, where prospective commodity price fluctuations affect exchange rates. Predicting commodity market return synchronization is critical for dealing with systemic risk, market efficiency, and financial stability since synchronization reduces the benefits of diversification and increases the probability of contagion in financial markets during economic and financial crises. Using network methods coupled with in-sample and out-of-sample econometrics models, we find evidence that a fall in the return of commodity-currencies (dollar appreciation) predicts an increase in commodity market synchronization and, consequently, in commodity market systemic risk. This discovery is consistent with a transitive capacity phenomenon, suggesting that commodity currencies have a predictive ability over commodities that extend beyond the commodity bundle that a country produces. The latter behavior would be exacerbated by the high financialization of commodities and strong co-movement of commodity markets. Our paper is part of a vigorously growing literature that has recently measured and predicted systemic risk caused by synchronization, combining a complex systems perspective and financial network analysis.
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spelling pubmed-101379412023-04-28 Forecasting Commodity Market Synchronization with Commodity Currencies: A Network-Based Approach Magner, Nicolas S. Hardy, Nicolás Lavin, Jaime Ferreira, Tiago Entropy (Basel) Article This paper shows that some commodity currencies (from Chile, Iceland, Norway, South Africa, Australia, Canada, and New Zealand) predict the synchronization of metals and energy commodities. This relationship links the present-value theory for exchange rates and its connection with commodity export economies’ fundamentals, where prospective commodity price fluctuations affect exchange rates. Predicting commodity market return synchronization is critical for dealing with systemic risk, market efficiency, and financial stability since synchronization reduces the benefits of diversification and increases the probability of contagion in financial markets during economic and financial crises. Using network methods coupled with in-sample and out-of-sample econometrics models, we find evidence that a fall in the return of commodity-currencies (dollar appreciation) predicts an increase in commodity market synchronization and, consequently, in commodity market systemic risk. This discovery is consistent with a transitive capacity phenomenon, suggesting that commodity currencies have a predictive ability over commodities that extend beyond the commodity bundle that a country produces. The latter behavior would be exacerbated by the high financialization of commodities and strong co-movement of commodity markets. Our paper is part of a vigorously growing literature that has recently measured and predicted systemic risk caused by synchronization, combining a complex systems perspective and financial network analysis. MDPI 2023-03-25 /pmc/articles/PMC10137941/ /pubmed/37190350 http://dx.doi.org/10.3390/e25040562 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Magner, Nicolas S.
Hardy, Nicolás
Lavin, Jaime
Ferreira, Tiago
Forecasting Commodity Market Synchronization with Commodity Currencies: A Network-Based Approach
title Forecasting Commodity Market Synchronization with Commodity Currencies: A Network-Based Approach
title_full Forecasting Commodity Market Synchronization with Commodity Currencies: A Network-Based Approach
title_fullStr Forecasting Commodity Market Synchronization with Commodity Currencies: A Network-Based Approach
title_full_unstemmed Forecasting Commodity Market Synchronization with Commodity Currencies: A Network-Based Approach
title_short Forecasting Commodity Market Synchronization with Commodity Currencies: A Network-Based Approach
title_sort forecasting commodity market synchronization with commodity currencies: a network-based approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137941/
https://www.ncbi.nlm.nih.gov/pubmed/37190350
http://dx.doi.org/10.3390/e25040562
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