Assessing the role of uncertainty shocks as a driver of business cycle fluctuations is challenging because spikes in uncertainty often coincide with news about economic fundamentals. To tackle this problem, we exploit daily data to identify uncertainty shocks that (i) impact the VXO volatility...

This paper proposes a novel methodology, the Bridge Proxy-SVAR, which exploits high-frequency information for the identification of the Vector Autoregressive (VAR) models employed in macroeconomic analysis. The methodology is comprised of three steps: (I) identifying the structural shocks of...

The boom in the production of shale oil in the United States has triggered a structural transformation of the oil market. We show, both theoretically and empirically, that this process has significant consequences for oil risk premium. We construct a model based on shale producers interacting...

Using more than a decade of firm-level data on U.S. oil producers' hedging portfolios, we document for the first time a strong positive link between net worth and hedging in the oil producing sector. We exploit as quasi-natural experiments two similarly dramatic oil price slumps, in 2008 and in...

We rely on the ESG ratings assigned by four distinct agencies (MSCI, Refinitiv, Robeco, and Sustainalytics) to study the link between ESG scores and firms' cost of debt financing during the Covid-19 pandemic. We document the existence of a statistically and economically significant ESG premium,...