Does ESG Disclosure Transparency Mitigate the COVID-19 Pandemic Shock? An Empirical Analysis of Listed Firms in the UK

This paper examines whether the ESG reporting transparency of listed firms in the UK can play a role in mitigating the impact of the COVID-19 pandemic. We investigate 350 UK firms in the FTSE350 index from 2016 to 2021 with daily data on stock performance and annual data on financial performance. The empirical results show that firms with a high ESG disclosure score have a lower volatility of stock performance during the COVID-19 pandemic. For these firms, the negative relationship between stock performance, as well as financial performance, and their main driving factors, is lower during the COVID-19 pandemic. Among these factors, we identify the lockdown announcement, quantitative easing announcement, and the intensity of news media coverage of the company. These results tend to indicate that the quantity of ESG data reported by firms can contribute to mitigating the impact of the COVID-19 pandemic on stock performance volatility and financial performance. © 2023 Journal of Innovation Economics and Management. All rights reserved.

COVID-19, Russia-Ukraine war and interconnectedness between stock and crypto markets: a wavelet-based analysis

This paper aims to investigate the impacts of the COVID-19 pandemic and Russia-Ukraine war on the interconnectedness between the US and China stock markets, major cryptocurrency and commodity markets using the wavelet coherence approach over the period from January 1 2016 to April 18 2022. The aim is to understand how the COVID-19 pandemic and the Russia-Ukraine war have affected the hedging efficiency of volatile crypto-currencies and gold. Wavelet coherency analysis unveils perceptual differences between the short-term and longer-term market reactions. In the short-run, we find strong co-movements during the first and second waves of the pandemic. During the first wave, longer-term investors were driven by the belief of future pandemic demise. They make use of time diversification that results in positive returns. During the Russia-Ukraine war, S&P 500 leads Bitcoin, BNB, and Ripple whereas Ethereum leads S&P 500 and SSE. © 2023 The Operational Research Society.

Extreme dependence and risk spillover across G7 and China stock markets before and during the COVID-19 period

Purpose The paper analyzes downside and upside risk spillovers between stock markets of G7 countries and China before and during the COVID-19 pandemic. Design/methodology/approach By using VAR-ADCC models and conditional value at risk (CoVaR) techniques, downside and upside risk spillovers between stock markets of G7 countries and China are analyzed before and during the COVID-19 pandemic. Findings The results suggested existence of a significant and asymmetrical two-way risk transmission between majority of pair markets, but the degree of asymmetry differs according to the use of the entire cumulative distributions or distribution tails. Downside and upside risk spillovers are significantly larger before the COVID-19 pandemic in all cases except between CAC 40/DAX and S&P/SSE pairs. Originality/value The paper used CoVaR and delta-CoVaR to investigate the downside and upside spillovers between stock markets of G7 countries and China before and during the COVID-19 pandemic.