Time-frequency connectedness between energy commodities and the influence of uncertainty measures

Commodities have become a new tool for global diversification among stocks, currencies, and other assets. Their dynamics statistical characteristics crucial to financial research. Furthermore, in the connected world of today, importance uncertainties is greater than ever. This article examines comovements between energy commodities influence uncertainty measures through bi, partial multiple wavelet techniques. We show significance by highlighting their on decisions. To measure uncertainty, we use GEPU, OVX, VIX. By using approaches, examine how interact both time frequency domains, which helps us better comprehend interdependencies. The results that most display high short-, long-terms, except with natural gas. According wavelet, OVX has significant impact connectedness amongst commodities. For cross-correlations, Petroleum maximises cross-correlations at scales (short, medium long terms) followed Brent crude potential lead or lag. These findings substantial policy implications policymakers as well meaning investors.