What do the AI methods tell us about predicting price volatility of key natural resources: Evidence from hyperparameter tuning

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Measuring Geopolitical Risk

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Commodity markets dynamics: What do cross-commodities over different nearest-to-maturities tell us?

(2022) Amine Ben Amar et al.   International Review of Financial Analysis

Spillover and Drivers of Uncertainty among Oil and Commodity Markets

(2021) Muhammad Abubakr Naeem et al.   Mathematics

A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis

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Criteria, Indicators, and Factors of the Sustainable Energy-Saving Economic Development: The Case of Natural Gas Consumption

(2021) Olexandr Yemelyanov et al.   Energies

Oil price shocks and the return and volatility spillover between industrial and precious metals

(2021) Zaghum Umar et al.   ENERGY ECONOMICS

The volatility of natural resource prices and its impact on the economic growth for natural resource-dependent economies: A comparison of oil and gold dependent economies

(2021) Lu Guan et al.   RESOURCES POLICY

Forecasting copper price by application of robust artificial intelligence techniques

(2021) Hasel Amini Khoshalan et al.   RESOURCES POLICY

Pravila PRISMA 2020.

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Do oil prices and economic policy uncertainty matter for precious metal returns? New insights from a TVP-VAR framework

(2021) Jianbai Huang et al.   International Review of Economics & Finance

Doing Well by Doing Good: A Systematic Review and Research Agenda for Sustainable Investment

(2019) Gaurav Talan et al.   Sustainability

Forecasting Copper Prices Using Hybrid Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms

(2019) Zakaria Alameer et al.   Natural Resources Research

Global overview of crude oil use: From source to sink through inter-regional trade

(2019) X.F. Wu et al.   ENERGY POLICY

Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models

(2018) Ha Young Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

An adaptive forecasting approach for copper price volatility through hybrid and non-hybrid models

(2018) Diego García et al.   APPLIED SOFT COMPUTING

Forecasting the Volatility of Stock Market Index Using the Hybrid Models with Google Domestic Trends

(2018) Monghwan Seo et al.   FLUCTUATION AND NOISE LETTERS

Multi-Scale Volatility Feature Analysis and Prediction of Gold Price

(2017) Fenghua Wen et al.   INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING

Forecasting volatility of oil price using an artificial neural network-GARCH model

(2016) Werner Kristjanpoller et al.   EXPERT SYSTEMS WITH APPLICATIONS

Gold price volatility: A forecasting approach using the Artificial Neural Network–GARCH model

(2015) Werner Kristjanpoller et al.   EXPERT SYSTEMS WITH APPLICATIONS

25years at Knowledge-Based Systems: A bibliometric analysis

(2015) M.J. Cobo et al.   KNOWLEDGE-BASED SYSTEMS

Incorporating Overconfidence into Real Option Decision-Making Model of Metal Mineral Resources Mining Project

(2014) Jian-bai Huang et al.   DISCRETE DYNAMICS IN NATURE AND SOCIETY

Volatility forecast using hybrid Neural Network models

(2013) Werner Kristjanpoller et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting natural gas spot prices with nonlinear modeling using Gamma test analysis

(2013) Narges Salehnia et al.   Journal of Natural Gas Science and Engineering

A hybrid modeling approach for forecasting the volatility of S&P 500 index return

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