Using a standard framework from Keynesian economics, we provide novel insights on the dynamic nature of the aggregate earnings-return relation. Aggregate earnings are a measure of aggregate output, and as such, they capture demand and supply shocks. Demand shocks could have positive or negative...

This paper quantifies global demand, supply and uncertainty shocks and compares two major global recessions: the 2008-09 Great Recession and the COVID-19 pandemic. We use two alternate approaches to decompose economic shocks: text mining techniques on earning call transcripts and a structural...

We formalize the Keynesian insight that aggregate demand driven by sentiments can generate output fluctuations under rational expectations. When production decisions must be made under imperfect information about demand, optimal decisions based on sentiments can generate stochastic...

The cyclical behavior of markups is at the center of macroeconomic debate on the origins of business-cycle fluctuations and policy effectiveness. In theory, markups may fluctuate endogenously with the business cycle due to sluggish price adjustment or to deeper motives affecting the...

The cyclical behavior of markups is at the center of macroeconomic debate on the origins of business-cycle fluctuations and policy effectiveness. In theory, markups may fluctuate endogenously with the business cycle due to sluggish price adjustment or to deeper motives affecting the...

In this paper the relationship between the growth of real GDP components is explored in the requency domain using both static and dynamic wavelet analysis. This analysis is carried out separately for the US and UK using quarterly data, and the results are found to be substantially different for...

Markup cyclicality has been central for debating policy effectiveness and understanding business-cycle fluctuations. However, measuring the cyclicality of markups is as important as understanding the microeconomic mechanisms underlying that cyclicality. The latter requires measurement of...