The paper seeks to answer the question of how price forecasting can contribute to which techniques gives the most accurate results in the futures commodity market. A total of two families of models (decision trees, artificial intelligence) were used to produce estimates for 2018 and 2022 for 21-...

In July 2024, the European Union (EU) and the Serbian government signed a strategic raw materials partnership. For the EU, this cooperation represents an important step towards diversifying its supply chains and strengthening economic partnerships in its neighbourhood. Serbian President...

This paper analyzes the effect of commodity price fluctuations on a commodity-exporting economy. Using Chilean and international copper market data, I find that positive copper price changes resulting from copper-specific demand shocks generate a broad GDP expansion, with no visible decline in...

Diversifying the supply of mineral resources is a strategic necessity - one in which resource-rich countries of the Global South play a crucial role. Zambia, which is a major global copper exporter and possesses other critical raw materials, is seeking long-term alliances that will mobilise...

This study investigates the time-varying return spillovers among the gold and oil markets and the Chinese equity subsectors using a network system representation. The results of the statics analysis show that crude oil and the majority of equity sectors are the net transmitters of spillovers in...

The EU is ensuring a secure and sustainable supply of critical raw materials that underpin European industry's transition to a low-carbon, digital future. Europe relies on the global importation of some of the building blocks that support modern life. These critical raw materials (CRMs), which...

The EU is ensuring a secure and sustainable supply of critical raw materials that underpin European industry's transition to a low-carbon, digital future. Europe relies on the global importation of some of the building blocks that support modern life. These critical raw materials (CRMs), which...

The oil and gas industry’s early 2000’s fracking and horizontal drilling revolution realigned the industry and larger economies. This study uses New Growth Theory to evaluate innovation across an industry with various integrated but distinct upstream, midstream, and downstream units. Two...

Horizon Europe is the EU's key funding programme for research and innovation. Under Horizon Europe, the EU supports the sustainable supply of raw materials and provides funding opportunities in the entire value chain.

In this study, the volatility spillovers from the S&P 500 to the precious metals (gold, silver and platinum) are investigated. By using the TGARCH and DCC GARCH model, the evidence is found that there are spillovers between the S&P 500 and these global commodity markets. However, there are some...

This article explores the history of international softwood timber trade from the late 19 th century until the 1970s, focusing on governance and the interplay between public and private sectors. By examining the roles of business associations and international networks, it highlights how these...

Horizon Europe is the EU's key funding programme for research and innovation. Under Horizon Europe, the EU supports the sustainable supply of raw materials and provides funding opportunities in the entire value chain.

The European Union (EU) is aiming to strengthen its cooperation with like-minded countries to secure its supply of so-called critical raw materials. European Commission President Ursula von der Leyen considers Canada a "perfect match" - a resource-rich and reliable partner that shares the EU’s...

Extensive economic literature has covered the effect of a natural resource boom on the performance of the manufacturing sector. Specifically, the Dutch Disease hypothesis establishes that increases in commodity prices should lead to a decrease in manufacturing exports, due to significant inflows...

This paper establishes supply and demand elasticities for a broad set of commodities based on a consistent dataset and identification methodology. We apply granular IV methods to a new cross-country panel dataset of commodity production and consumption from 1960-2021. The results indicate that...

This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of numerous commodities' prices (spot-based ones). Moreover, some features and an initial specification of the parameters of the BSR were analysed. The conventional approach to symbolic regression, based on...

The conflict in the Middle East has been exerting upward pressures on prices of key commodities, notably oil and gold. High commodity prices, despite relatively subdued global GDP growth, suggest some countervailing forces offsetting tepid demand, such as heightened geopolitical strains and...