Julián Andrada-Félix

This article tries to shed light on the historical analogies of the ongoing COVID-19 pandemic. To that end, we compare the sample distribution of Dow Jones Industrial Average Index returns for a 420-day period (from 2 January 2020 to 31 August 2021), with all historical sample distributions of returns computed using a moving window of 420 days in the 2 January 1900 to 1 May 2018 period. We find that the stock market return distribution during the pandemic would be similar to several past sub-periods of severe financial crises that evolved into intense recessions, being the sub-sample from 3 June 1986 to 28 January 1988 the most analogous episode to the present situation. Furthermore, we also identify a period from 23 June 1931 to 24 February 1933 where the severity of the crisis overcomes the pandemic situation having sharper tail events. Finally, we find that the current stock market CVaR risk is not higher than that observed during the 1930s.

Using a unique database, this paper examines the interconnection among stress indicators of the Spanish financial markets during the period of January 1999 to April 2021, applying both the connectedness framework and the Time-Varying Parameter Vector Autoregressive connectedness approach. Our results suggest that 15.67% of the total variance of forecast errors was explained by shocks across the six financial market stress indices examined, indicating that the remaining 84.33% of variation was due to idiosyncratic shocks. Nevertheless, we find that stress connectedness varies over time, with a surge during periods of increasing economic and financial instability, mainly driven by high levels of pandemic and economy policy uncertainty and real economy worsening. Financial intermediaries were the main generators of stress during three out of four recent major financial crises in Spain, while their role as stress transmitters to other markets has been reduced since the onset of the COVID-19 health crisis. Our results also indicate that the COVID-19 outbreak represents a relevant event in the transmission of stress among all market segments.

This study investigates the interconnection between five implied volatility indices representative of different financial markets during the period 1 August 2008–29 December 2017. To this end, we first perform a static and dynamic analysis to measure the total volatility connectedness in the entire period (the system-wide approach) using a framework recently proposed by Diebold and Yilmaz. Second, we make use of a dynamic analysis to evaluate both the net directional connectedness for each market and all net pairwise directional connectedness. Our results suggest that a 38.99%, of the total variance of the forecast errors is explained by shocks across markets, indicating that the remainder 61.01% of the variation is due to idiosyncratic shocks. Furthermore, we find that volatility connectedness varies over time, with a surge during periods of increasing economic and financial instability. Finally, we also document frequently switch between a net volatility transmitter and a net volatility receiver role in the five markets under study.

In this article, we analyse the co-movements of daily stock prices and government bond prices during the last 25 years, in major Western stock markets, extending previous results to take into account the impact of the current crisis. Our results confirm that bonds are viewed as instruments for improving portfolio diversification in periods of high volatility and falling stock market levels, which is when such diversification is most needed. The possibility of using government debt in portfolios as a means of hedging during times of financial crisis became especially apparent in the crises of 1997, 2001 and 2008. Nevertheless, during the current one, this diversification quality of bonds has disappeared in countries like Italy or Spain, which are also affected by sovereign debt issues.