Environmental, social and governance (ESG) performance of firms in the era of geopolitical conflicts.

Do geopolitical conflicts matter for the environmental, social, governance (ESG) and overall ESG performance of firms? We answer this question by studying the impact of geopolitical conflict of a country on the ESG performance, separately and collectively, of firms of that country. We use data from Refinitiv and UCDP/PRIO (Uppsala Conflict Data Program/International Peace Research Institute, Oslo) databases for the period from 2002 to 2021 for 79 countries and we use fixed effects regression as our main methodology. We find that if a country is in a geopolitical conflict, their firms are impacted in the form of lower E, S and G performance and overall ESG performance, with stronger effects for developed countries. This comes on top of the direct costs of geopolitical conflicts. Our results are robust to country, year and firm fixed effects as well as robust to endogeneity as we use Lewbel (2012) estimator to eliminate any chances of endogeneity. We provide first evidence on this topic and it has geopolitical and socioeconomical implications.

Risk modelling of ESG (environmental, social, and governance), healthcare, and financial sectors.

Climate change poses enormous ecological, socio-economic, health, and financial challenges. A novel extreme value theory is employed in this study to model the risk to environmental, social, and governance (ESG), healthcare, and financial sectors and assess their downside risk, extreme systemic risk, and extreme spillover risk. We use a rich set of global daily data of exchange-traded funds (ETFs) from 1 July 1999 to 30 June 2022 in the case of healthcare and financial sectors and from 1 July 2007 to 30 June 2022 in the case of ESG sector. We find that the financial sector is the riskiest when we consider the tail index, tail quantile, and tail expected shortfall. However, the ESG sector exhibits the highest tail risk in the extreme environment when we consider a shock in the form of an ETF drop of 25% or 50%. The ESG sector poses the highest extreme systemic risk when a shock comes from China. Finally, we find that ESG and healthcare sectors have lower extreme spillover risk (contagion risk) compared to the financial sector. Our study seeks to provide valuable insights for developing sustainable economic, business, and financial strategies. To achieve this, we conduct a comprehensive risk assessment of the ESG, healthcare, and financial sectors, employing an innovative approach to risk modelling in response to ecological challenges.

Do stock markets play a role in determining COVID-19 economic stimulus? A cross-country analysis.

This paper makes an innovative contribution to the extant literature by analysing the determinants of economic stimulus packages implemented by governments in response to the COVID-19 pandemic. In particular, we explore whether stock market declines observed in many countries can predict the size of COVID-19 stimulus packages. Moreover, we explore whether a country's level of income can augment the underlying relationship between stock market declines and stimulus packages. The findings reveal that a larger stock market decline results in a larger stimulus package; however, this effect is only observed in countries that have an income level greater than the mean and/or median per capita gross domestic product (GDP). Moreover, our results show that monetary policy is more responsive to a stock market decline than fiscal policy. Thus, our results underscore the importance of international donor agencies such as the World Bank and International Monetary Fund (IMF) in supporting less affluent countries in coping with the adverse impacts of the COVID-19 pandemic on their economies.

Carbon neutrality: The role of banks in optimal environmental management strategies.

This study explores the ecological ambitions of banks by studying the coincidence of economic realities with environmental management strategies. We address this question by studying the environmental performance of US banks and its impact on their tail risk as US is not committed to carbon neutrality in COP 21. We proxy economic reality with tail risk of banks and employ a novel extreme value theory to measure this. We use Asset4 ESG data for environmental performance score and test our hypothesis with a sample of 256 US banks. The results indicate that the US banks are ecologically ambitious and their environmental strategies are likely to reduce their tail risk. This provides evidence that better environmental strategies do coincide with the economic realities. We test the consistency of our results by using alternate proxies for tail risk and find our results robust. Our results are also not driven by endogeneity concerns. Finally, our additional results show that the nature of relationship differs with corporate governance levels, CSR committee existence, institutional ownership presence and crisis period.

The impact of carbon emissions on country risk: Evidence from the G7 economies.

This paper empirically investigates the effect of carbon emissions on sovereign risk? To answer this question, we use fixed effects model by using annual data from G7 advanced economies, which includes Canada, France, Germany, Italy, Japan, UK and USA, for the period from 1996 to 2014. We employ a novel extreme value theory to measure sovereign risk. The results indicate that climate change (carbon emissions) are likely to increase sovereign risk significantly. We also expand our analysis to some specific sectors, as some of the sectors emit more carbon than others. Specifically, we take top three polluting sectors namely: transportation, electricity and industry and show that they are more likely to increase the sovereign risk. Our results are robust to change in risk measures, estimation in differences and dynamic version of econometric models. Therefore, we have robust consideration that the carbon emissions significantly explain the sovereign risk.