This paper investigates the impact of economic policy uncertainty (EPU) on the crash risk of US stock market during the COVID-19 pandemic. To this end, we use the GARCH-S (GARCH with skewness) model to estimate daily skewness as a proxy for the stock market crash risk. The empirical results show...

This paper investigates the impact of economic policy uncertainty (EPU) on the crash risk of US stock market during the COVID-19 pandemic. To this end, we use the GARCH-S (GARCH with skewness) model to estimate daily skewness as a proxy for the stock market crash risk. The empirical results show...

This paper analyses the tail risk contagion of US market implied volatility (USIV) on China's energy futures (CEF) markets, exploring how to utilize operations in the CEF to achieve a safe haven. Leveraging CEF characteristics to simultaneously take both long-/short-positions and engage in...

Applying a GARCH-S analysis to a daily dataset of eight cryptocurrencies, along with seven equity market indices for advanced countries, and seven equity market indices for emerging economies, for June 2018–June 2021, we find that cryptocurrencies have higher probability of crash risk than...

This paper combines the Copula-CoVaR approach with the ARMA-GARCH-skewed Student-t model to investigate the tail dependence structure and extreme risk spillover effects between the international agricultural futures and spot markets, taking four main agricultural commodities, namely soybean,...