An Exploration of Interlinkages between International Trades and Green Energy Volatility over Quantiles

Abstract

In this paper, we employ the quantile vector autoregression (QVAR) technique to determine the degree of connectedness between seven variables from 1985 to 2019 for the purpose of examining the relationships between the Trade market and Green energy consumption. Based on our findings, dynamic connectedness, which is 24.18% in the short term and 9% in the long term, is influenced by both long-term and short-term periods. Based on the dynamic net total connectedness of a quantile, a quantile of 50% describes the period’s overall connectedness, which is associated both with highly positive changes (above the 80% quantile) and with highly volatile variables (below the 20% quantile) of export, import, and green energy consumption. In both durations, export and import values turn into a net shock transmitter, and green energy consumption acts like a net shock receiver since the last half of the period. In 2008, uncertain events were correlated with dynamic net pairwise directional connectedness over a quantile, such as the Global Financial crisis, have an influence on the trade market and green energy consumption’s volatility.