We investigate the time-varying dynamics of the precious metal markets. We employ a mixed
data sampling technique to identify the impact of macroeconomic and financial drivers from …

We investigate stock market uncertainty spillovers to commodity markets using wavelet
coherence and a general stock market-related Google Search Trends (GST)-based index to …

Increasing electrification and extensive expansion of renewable energy technologies bring
about expectations of increased demand for copper and a corresponding increase in the …

This study aims to examine energy security in terms of crude oil and copper supply. While oil
remains the leading energy commodity globally, copper is crucial for many new …

In this paper, we select 75 indicators to conduct a comprehensive analysis of the factors
influencing the copper price along six dimensions: inventory, supply, demand, the …

In this paper, we empirically examine the relationship between the novel macroeconomic
attention indices (MAI) and commodity market volatility. In-sample analysis indicates that …

This research includes an innovative approach to refine natural gas price predictions by
employing advanced machine learning techniques, including Random Forest, Linear …

This paper investigates the forecasting performance of COMEX copper futures realized
volatility across various high-frequency intervals using both econometric volatility models …

This paper examines the influence of low-frequency macroeconomic variables on the high-
frequency returns of copper futures and the long-term correlation with the S&P 500 index …

Este artículo presenta una revisión sistemática de la literatura sobre el impacto de la
exportación de cobre en el crecimiento económico, examinando estudios desde 2019 hasta …