Financial institutions, investors, mining companies and related firms need an effective accurate forecasting model to examine gold price fluctuations in order to make correct …
HMU Rana, F O'Connor - International Review of Financial Analysis, 2023 - Elsevier
This study examines the relationship between domestic macroeconomic factors and domestic precious metals prices across developed and emerging markets from 1979 to …
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 …
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 …
Using high frequency data and connectedness measures based on a time-varying parameter vector autoregression (TVP-VAR) model, we study dynamic connectedness …
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 …
M Hu, D Zhang, Q Ji, L Wei - Resources Policy, 2020 - Elsevier
This paper explores the relationship between macro-factors and the realized volatility of commodity futures. Three main commodities—soybeans, gold and crude oil—are …
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 aim of this study is to examine the relationship between renewable energy and inflation. Within this framework, Turkey is taken into consideration. In this context, the data regarding …