Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series

MHDM Ribeiro, L dos Santos Coelho - Applied soft computing, 2020 - Elsevier
The investigation of the accuracy of methods employed to forecast agricultural commodities
prices is an important area of study. In this context, the development of effective models is …

Forecasting gold price with the XGBoost algorithm and SHAP interaction values

SB Jabeur, S Mefteh-Wali, JL Viviani - Annals of Operations Research, 2024 - Springer
Financial institutions, investors, mining companies and related firms need an effective
accurate forecasting model to examine gold price fluctuations in order to make correct …

Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm

Z Alameer, M Abd Elaziz, AA Ewees, H Ye, Z Jianhua - Resources Policy, 2019 - Elsevier
Developing an accurate forecasting model for long-term gold price fluctuations plays a vital
role in future investments and decisions for mining projects and related companies. Viewed …

Super learner ensemble model: A novel approach for predicting monthly copper price in future

J Zhao, S Hosseini, Q Chen, DJ Armaghani - Resources Policy, 2023 - Elsevier
Companies and governments dependent on copper mining need to be able to predict
copper prices in order to make important decisions. Despite the nonlinear and nonstationary …

Assessing the Policy of Attracting Investments in the Main Sectors of the Economy in the Context of Introducing Aspects of Industry 4.0.

U Nikonenko, T Shtets, A Kalinin… - International …, 2022 - search.ebscohost.com
The purpose of this work is to study and evaluate the impact of world commodity prices on
the dynamics of investment in exporting countries of natural resources using the developed …

[HTML][HTML] The nexus among foreign investment, domestic capital and economic growth: Empirical evidence from the MENA region

A Omri - Research in economics, 2014 - Elsevier
The objective of this paper is to estimate an econometric model for analyzing the
interrelationship among foreign direct investment, domestic capital and economic growth in …

Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility

AA Ewees, M Abd Elaziz, Z Alameer, H Ye, Z Jianhua - Resources Policy, 2020 - Elsevier
Developing an accurate forecasting model for the volatility of iron ore price plays a vital role
in future investments and decisions for mining projects and related companies. Viewed from …

Forecasting copper prices using hybrid adaptive neuro-fuzzy inference system and genetic algorithms

Z Alameer, MA Elaziz, AA Ewees, H Ye… - Natural Resources …, 2019 - Springer
An accurate forecasting model for the price volatility of minerals plays a vital role in future
investments and decisions for mining projects and related companies. In this paper, a hybrid …

Taxonomy of commodities assets via complexity-entropy causality plane

LHS Fernandes, FHA Araújo - Chaos, Solitons & Fractals, 2020 - Elsevier
This paper promotes insights based on an empirical analysis of the complex dynamics of 12
significant assets of the commodity market. We applied the Complexity-entropy causality …

Financial integration, capital market development and economic performance: Empirical evidence from Botswana

AD Ahmed, KK Mmolainyane - Economic Modelling, 2014 - Elsevier
A substantial body of literature suggests that financial market development plays a
significant role in economic growth through fostering savings mobilization, easing risk …