Using daily data from the beginning of 2018 to the end of 2022 and the Seemingly Unrelated
Regression method, this paper sought to determine the relationship between green and non …

Numerical algorithms and mathematical methods are regularly used in the commodities and
stock markets. However, this so-called quantitative trading has been thus far limited to the …

Iron ore has had a highly global market since setting a new pricing mechanism in 2008. With
current dollar values, iron ore concentrate for sale price, which was 39pertonne(62%Fe) …

Nowadays, open-pit mining is the large-scale extraction of valuable ore materials from the
surface with the use of modern mining equipment. If not operated properly, various …

In this research, a neural network (NN) model for metal price forecasting based on an
evolutionary approach is proposed. Both the neural network model's network parameters …

This paper proposed a single‐piston free piston expander‐linear generator (SFPE‐LG)
prototype applied to organic Rankine cycle systems. Two valve timing control strategies …

This research incorporates crude oil price series with different time scales, China's dirty
energy, new energy and green bond index into a system, so as to investigate the spillover …

Mining companies, investors, financial institutions and related firms require a precise
prediction approach for investigating the fluctuations in the gold prices, and taking the …

In the competitive landscape of customer goods, particularly in the wrapping paper industry,
pricing strategies are critical to achieving market success. This study presents a novel …

A content analysis was conducted to examine factors influencing investor behavior when
investing in gold and to look into possible reasons for selling gold. The results showed that …