This work is intended to show that past epidemic scenarios are not suitable to estimate the macroeconomic impact of the new 2019 coronavirus. Using five centuries of macroeconomic data for England and a unique dataset on epidemics and other significant events (i.e., wars and natural disasters), we show that the macroeconomic effect of epidemics reflects the socio-economic features characterizing different eras. A mapping between past epidemic scenarios and the COVID-19-induced environment can thus lead to misleading outcomes. We believe our evidence to be of general interest and key for policymakers forced to implement rapid and effective policies.

Theories indicate that financial integration should allow economies to better share risk and thus improve consumption smoothing. We construct two widely used priced-based measures of financial integration (i.e. the standard correlation and the adjusted Rsquared) and test whether consumption volatility declines as international equity markets become more integrated. Pooled and panel estimates for three different groups of countries (i.e. G7, G20 and EU) provide no significant evidence of improved consumption smoothing as financial integration rises. This evidence is supported by a battery of robustness checks and holds over time. Taken together, our results suggest that convergence in international equity prices does not necessarily represent the channel through which risk-sharing opportunities arise or consumption smoothing improves.

We develop a new monthly and daily index of economic policy uncertainty for Italy based on articles from the Sole 24 Ore (a popular Italian business daily newspaper). VAR investigations document that an unexpected rise in the Sole 24 Ore news-based EPU index (EPU24) has mild effects on the real economic activity. Cross-sectional asset pricing tests then show that both monthly and daily EPU24 shocks command a positive risk premium. A standard event study finally indicates the presence of statistically significant positive cumulative abnormal returns (CARs) in the energy sector following different categories of policy-related events. Negative and significant CARs in the financial sector are instead found to be generated by international-related events and political elections.

No abstract

We propose a novel index of global risks awareness (GRAI) based on the most concerning risks—classified in five categories (economic, environmental, geopolitical, societal, and technological)—reported by the World Economic Forum (WEF) according to the potential impact and likelihood occurrence. The degree of public concern toward these risks is captured by Google search volumes on topics having the same or similar wording of that one of the WEF Global Risk Report. The dynamics of our GRAI exhibits several spillover episodes and indicates that concerns on the five different categories of global risks are—on average—highly interconnected. We further examine the interconnection between global risks perceptions and the macroeconomy and find that concerns on economic-, geopolitical-, and societal-related risks are net shock transmitters, whereas the macroeconomic variables are largely net receivers. Finally, we perform standard cross-sectional asset pricing tests and provide evidence that rising interconnection among global risks awareness commands a positive and statistically significant risk premium.