Monetary policy shocks have a large impact on stock prices during narrow time windows centered around press releases by the FOMC. We use spatial autoregressions to decompose the overall effect of monetary policy shocks into a direct effect and a network effect. We attribute 50 to 85 percent of...

This paper examines the asset pricing implications of nominal rigidities. Firms that adjust their product prices infrequently earn a return premium of 4% per year. Merging unique product-price data at the firm level with stock returns, I document that the premium for sticky-price firms is a...

Monetary policy shocks have a large impact on aggregate stock market returns in narrow event windows around press releases by the Federal Open Market Committee. We use spatial autoregressions to decompose the overall effect of monetary policy shocks into a direct (demand) effect and an indirect...

Monetary policy shocks have a large impact on stock returns in narrow windows around press releases by the Federal Reserve. We use spatial autoregressions to decompose the overall effect of monetary policy shocks into a direct effect and an indirect (network) effect. We attribute 50%-85% of the...

We study the importance of production networks for the transmission of macroeconomic shocks using the stock market reaction to monetary policy shocks as a laboratory. We decompose the overall effect of monetary policy shocks into a direct effect and a network effect and attribute 50 to 85...

We propose a nonparametric method to study which characteristics provide incremental information for the cross section of expected returns. We use the adaptive group LASSO to select characteristics and to estimate how they affect expected returns nonparametrically. Our method can handle a large...

We study the importance of production networks for the transmission of macroeconomic shocks using the stock market reaction to monetary policy shocks as a laboratory. We decompose the overall effect of monetary policy shocks into a direct effect and a network effect and attribute 60 to 85...

We propose a nonparametric method to study which characteristics provide incremental information for the cross section of expected returns. We use the adaptive group LASSO to select characteristics and to estimate how they affect expected returns nonparametrically. Our method can handle a large...