Comparing asymmetric price efficiency in regional ESG markets before and during COVID-19.

The ever-emerging environmental, social, and governance (ESG) concerns have received significant attention of policymakers, governments, regulation bodies, and investors. Considering the markets volatilities due to economic and financial uncertainties that can drive the informational price inefficiencies across the markets, this study compares the asymmetric price efficiency of regional ESG markets by using an asymmetric multifractal detrended fluctuation analysis before and during COVID-19 crisis. We then examine whether global factors influence the asymmetric efficiency of regional ESG markets.

Diversifier or more? Hedge and safe haven properties of green bonds during COVID-19.

Against the backdrop of the COVID-19 pandemic, the study explores the hedging and safe-haven potential of green bonds for conventional equity, fixed income, commodity, and forex investments. We employ the cross-quantilogram approach to understand better the dynamic relationship between two assets under different market conditions. Our full sample results reveal that the green bond index could serve as a diversifier asset for medium- and long-term equity investors.

Comparing the asymmetric efficiency of dirty and clean energy markets pre and during COVID-19.

In the backdrop of the recent COVID-19 pandemic, the study examines the comparative asymmetric efficiency of dirty and clean energy markets pre and during the COVID-19 pandemic. For this purpose, we utilize an asymmetric multifractality detrended fluctuation analysis (A-MF-DFA). The study's findings uncover the presence of asymmetric multifractality in clean and dirty energy markets.

Impact of COVID-19 on the quantile connectedness between energy, metals and agriculture commodities.

With many studies highlighting the heterogeneous impact of the COVID-19 pandemic on different commodity markets, this study provides evidence of quantile connectedness between energy, metals, and agriculture commodity markets before and during the COVID-19 outbreak. Since mean-based measures of connectedness are not necessarily suitable to measure connectedness in the crisis period, especially in the tails of the return distribution, thus in this study, we use the newly developed approach of quantile-based connectedness. The full-sample analysis results show that return shocks only propagate within the energy commodity group.