2023

Yang Junhua; Agyei Samuel Kwaku; Bossman Ahmed; Gubareva Mariya; Marfo-Yiadom Edward

To address ESG stock susceptibility to episodic shocks in financial markets, we use nonparametric quantile-based techniques applied to the 2014–2022 period. We (i) analyse the ability of traditional assets to predict ESG stocks returns, (ii) explore whether oil or gold serves as a safe haven for ESG stocks, and (iii) ascertain how ESG stocks respond to market sentiment, crypto-based uncertainty, and geopolitical risk (GPR). We find that gold, oil, market sentiment (tracked by the VIX), the implied volatility of crude oil (OVX) and GPR are significant predictors of ESG returns. None of gold or oil serves as a safe haven for ESG stocks, both acting just as diversifiers. In their turn, ESG could stocks hedge against the shocks from GPR and cryptocurrency-triggered market uncertainties in bearish states of the market. These findings are important for asset allocation and risk management, assisting investors in the already ongoing switch from ordinary to sustainable investments.