We show that unexpected changes in the trajectory of COVID-19 infections predict US stock returns, in real time. Parameter estimates indicate that an unanticipated doubling (halving) of projected infections forecasts next-day decreases (increases) in aggregate US market value of 4 to 11 percent,...

Central banks across the globe introduced large-scale asset purchase programs to address the unprecedented circumstances experienced during the pandemic. Many of these programs were announced as open-ended to shock-and-awe market participants and restore confidence in financial markets. This...

The Paycheck Protection Program (PPP), a principal element of the fiscal stimulus enacted by Congress during the COVID-19 pandemic, aimed to assist small businesses to maintain employment and wages during the crisis. We use high-frequency administrative payroll data from ADP--one of the world's...

In response to the record-breaking COVID19 recession, many governments have adopted unprecedented fiscal stimuli. While countercyclical fiscal policy is effective in fighting conventional recessions, little is known about the effectiveness of fiscal policy in the current environment with...

This paper uses the onset of COVID-19 to examine how countries construct their policy packages in response to a severe negative shock. We use several new datasets to track the use of a large variety of policy tools: announced fiscal stimulus (both above- and below-the-line), monetary policy...

We find that on average an announcement of rising unemployment is 'good news' for stocks during economic expansions and 'bad news' during economic contractions. Thus stock prices usually increase on news of rising unemployment, since the economy is usually in an expansion phase. We provide an...

The paper develops a theory for equity premium around macroeconomic announcements. Stock returns realized around pre-scheduled macroeconomic announcements, such as the employment report and the FOMC statements, account for 55% of the market equity premium during the 1961-2014 period, and...

We analyze the tone of COVID-19 related English-language news articles written since January 1, 2020. Ninety one percent of stories by U.S. major media outlets are negative in tone versus fifty four percent for non-U.S. major sources and sixty five percent for scientific journals. The negativity...

We characterize how risk evolves during a crisis. Using high-frequency data, we find that the first two principal components (PCs) of the covariance matrix of global asset returns experience large, sudden, and temporary spikes coinciding with well-known crises - Covid-19 pandemic, Global...

We characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. Our analysis is based on a unique data set of high-frequency futures returns for each of the markets. We find that news surprises produce conditional mean...