We investigate connectedness within a network of environmental indices and crude oil by utilizing state-of-the-art empirical methods. Focusing on the relevance of both mean and volatility dynamics, we find that mean dynamics persistently account for less than 5% of overall dynamics implying...

In this study, we examine the propagation of return-spillovers within a network comprising various Islamic sectoral stocks and the price of Brent crude oil. To achieve that, we extend the work of Antonakakis et al. (2020a), by introducing measures of asymmetric dynamic connectedness based on a...

In this paper, we estimate an asymmetric frequency TVP-VAR frequency connectedness model and further employ aggregated connectedness measures in order to identify whether cryptocurrencies drive investor sentiment. We find pronounced and time-varying interconnectedness within the cryptocurrency...

We investigate volatility contagion across G7 stock markets and the market for crude oil for the period between 2007 and 2021. Following the work of Balcilar et al. (2021), we utilise the TVP-VAR extended joint connectedness method and compare results to the standard TVP-VAR method that...

This paper proposes a novel quantile vector autoregressive extended joint connectedness framework to examine realized volatilities spillovers between oil and precious metals commodities using daily data from May 1st, 2006 until June 18th, 2021. Our findings suggest that crude oil is the main net...

This study examines the nexus between precious metals (gold and silver) and oil (crude oil and heating oil) realized volatilities introducing a novel quantile extended joint connectedness framework combining quantile vector autoregression (White et al., 2015) with the extended joint...