Significant surge in gold prices has attracted speculators, investors and intellectuals alike.
Factors driving gold prices, the effectiveness of gold price predictions, the economic viability …

This paper examines the impacts of COVID-19 on the multifractality of gold and oil prices
based on upward and downward trends. We apply the Asymmetric Multifractal Detrended …

Dynamic model averaging (DMA) has become a widely used estimation technique in
macroeconomic applications. Since its introduction in econom (etr) ics by Gary Koop and …

Because of gold's value, systems for predicting its price have attracted extensive interest in
the scientific and industrial communities. Diverse artificial intelligence methods outperform …

Accurate gold price prediction is highly essential for economic and currency markets. Thus,
the intelligence prediction models need to be applied to price prediction. On the basis of …

This paper combines the discrete wavelet transform with support vector regression for
forecasting gold-price dynamics. The advantages of this approach are investigated using a …

This paper conducts a comprehensive empirical study on gold's hedging potential against
adverse movements of inflation and exchange rates for three countries: Turkey (highly …

Due to marketization and globalization, emerging Asian stock markets are influenced by
numerous global factors, such as the business cycle, uncertainty in economic and monetary …

Abstract Although, 2016 and 2017 have risen, the international gold price has been in the
doldrums since 2013. The volatility of gold prices will have a profound effect on the …

Modeling and forecasting are impressive and active research areas, which have been
widely used in diverse theoretical and practical applications, successfully. Accuracy is the …