Forecasting rare earth stock prices with machine learning
I Henriques, P Sadorsky - Resources Policy, 2023 - Elsevier
Rare earth elements (REEs) are indispensable for producing green technologies and
electronics. Demand for REEs in clean energy technologies in 2040 are projected to be …
electronics. Demand for REEs in clean energy technologies in 2040 are projected to be …
Multi-step-ahead copper price forecasting using a two-phase architecture based on an improved LSTM with novel input strategy and error correction
H Luo, D Wang, J Cheng, Q Wu - Resources Policy, 2022 - Elsevier
Accurate copper price forecasting plays a vital role in many aspects of economics. However,
the complicated fluctuations of copper price make it a challenging job. This study develops a …
the complicated fluctuations of copper price make it a challenging job. This study develops a …
A novel non-ferrous metal price hybrid forecasting model based on data preprocessing and error correction
Z He, J Huang - Resources Policy, 2023 - Elsevier
Accurately forecasting the price of non-ferrous metals is of great significance for traders to
avoid risks, enterprises to arrange production plans, and countries to formulate economic …
avoid risks, enterprises to arrange production plans, and countries to formulate economic …
Practical forecasting of risk boundaries for industrial metals and critical minerals via statistical machine learning techniques
I Choi, WC Kim - International Review of Financial Analysis, 2024 - Elsevier
This study examines the application of machine learning in predicting price risk boundaries
for industrial metals and critical minerals, emphasizing the role of statistical dependencies …
for industrial metals and critical minerals, emphasizing the role of statistical dependencies …
Time-varying and multi-scale analysis of copper price influencing factors based on LASSO and EMD methods
Y Liu, Y Guo, Q Wei - Journal of Commodity Markets, 2024 - Elsevier
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 …
influencing the copper price along six dimensions: inventory, supply, demand, the …
Measuring persistent global economic factors with output, commodity price, and commodity currency data
A Basistha, R Startz - Journal of Forecasting, 2024 - Wiley Online Library
In this study, we use monthly G7 industrial production data, commodity price index data, and
commodity currency exchange rate data in a dynamic factor model to examine the global …
commodity currency exchange rate data in a dynamic factor model to examine the global …
Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns
M Guidolin, M Pedio - Forecasting, 2022 - mdpi.com
In this paper, we conduct a thorough investigation of the predictive ability of forward and
backward stepwise regressions and hidden Markov models for the futures returns of several …
backward stepwise regressions and hidden Markov models for the futures returns of several …