The financial economics of gold—A survey

FA O'Connor, BM Lucey, JA Batten, DG Baur - International Review of …, 2015 - Elsevier
We review the literature on gold as an investment. We summarize a wide variety of literature,
including the papers in this special issue of International Review of Financial Analysis to …

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 …

Time-frequency connectedness and spillover among carbon, climate, and energy futures: Determinants and portfolio risk management implications

ME Hoque, L Soo-Wah, M Billah - Energy Economics, 2023 - Elsevier
This study examines returns and volatility connectedness and spillover among carbon,
climate, and energy futures using TPV-VAR frequency connectedness approach with daily …

Hedging geopolitical risk with precious metals

DG Baur, LA Smales - Journal of Banking & Finance, 2020 - Elsevier
We analyse the relationship between geopolitical risk and asset prices and show that
geopolitical risk is distinct from existing measures of economic, financial, and political risk …

The financial economics of white precious metals—A survey

SA Vigne, BM Lucey, FA O'Connor… - International Review of …, 2017 - Elsevier
This article provides a review of the academic literature on the financial economics of silver,
platinum and palladium. The survey covers the findings on a wide variety of topics relation to …

Gold volatility prediction using a CNN-LSTM approach

A Vidal, W Kristjanpoller - Expert Systems with Applications, 2020 - Elsevier
Prediction of volatility for different types of financial assets is one of the tasks of greater
mathematical complexity in time series prediction, mainly due to its noisy, non-stationary and …

Palladium price predictions via machine learning

B **, X Xu - Materials Circular Economy, 2024 - Springer
Predictions of prices for a wide variety of commodities have been relied upon by
governments and investors over the course of history. The purpose of this study is to …

World gold prices and stock returns in China: Insights for hedging and diversification strategies

MEH Arouri, A Lahiani, DK Nguyen - Economic Modelling, 2015 - Elsevier
This article uses the VAR–GARCH framework of Ling and McAleer (2003) to explore both
return and volatility spillovers between world gold prices and stock market in China over the …

The realized volatility of commodity futures: Interconnectedness and determinants

E Bouri, B Lucey, T Saeed, XV Vo - International Review of Economics & …, 2021 - Elsevier
Using high frequency data and connectedness measures based on a time-varying
parameter vector autoregression (TVP-VAR) model, we study dynamic connectedness …

The impact of uncertainty shocks on the volatility of commodity prices

D Bakas, A Triantafyllou - Journal of International Money and Finance, 2018 - Elsevier
In this paper, we empirically examine the impact of uncertainty shocks on the volatility of
commodity prices. Using several alternative measures of economic uncertainty for the US …