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The financial economics of gold—A survey
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 …
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
Financial institutions, investors, mining companies and related firms need an effective
accurate forecasting model to examine gold price fluctuations in order to make correct …
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
This study examines returns and volatility connectedness and spillover among carbon,
climate, and energy futures using TPV-VAR frequency connectedness approach with daily …
climate, and energy futures using TPV-VAR frequency connectedness approach with daily …
Hedging geopolitical risk with precious metals
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 …
geopolitical risk is distinct from existing measures of economic, financial, and political risk …
The financial economics of white precious metals—A survey
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 …
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 …
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 …
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
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 …
return and volatility spillovers between world gold prices and stock market in China over the …
The realized volatility of commodity futures: Interconnectedness and determinants
Using high frequency data and connectedness measures based on a time-varying
parameter vector autoregression (TVP-VAR) model, we study dynamic connectedness …
parameter vector autoregression (TVP-VAR) model, we study dynamic connectedness …
The impact of uncertainty shocks on the volatility of commodity prices
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 …
commodity prices. Using several alternative measures of economic uncertainty for the US …