We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations...

This paper examines the effect of different dimensions of uncertainty on expectations of WTI crude oil futures momentum traders at a daily level. We consider two concepts of uncertainty and two momentum trading indicators based on technical analysis. In addition, we also use wavelet techniques...

This study examines the nexus between oil prices, economic policy uncertainty and stock markets in a panel of selected major oil importing countries between June 2014 and October 2020. We analyzed China, India, Germany, Italy and Japan in the study because these countries are among the largest...

This study explores the dynamic co-movement between oil and six stock markets (China, India, Japan, Saudi Arabia, Russia, and Canada) by using two types of wavelet analysis (wavelet multi-scale decomposition and wavelet coherence). The main empirical results are as follows: (1) Maximal overlap...

This paper uses bivariate quantile causality nonparametric test and wavelet coherence to analyze the impacts of geopolitical risks and global economic policy uncertainty on global oil market price fluctuations. Quantitative results show that the international geopolitical risk and uncertainty in...

We examine the relationship between oil as a major export for the member countries of the Gulf Cooperation Council (GCC) and the forward levels of all GCC currencies using wavelet analysis. We find that oil and GCC forward markets have significant but weak relationships at high frequencies. We...