We propose a simple framework to assess the costs of nominal price adjustment using stock market returns. We document that, after monetary policy announcements, the conditional volatility rises more for firms with stickier prices than for firms with more flexible prices. This differential...

We show that after monetary policy announcements, the conditional volatility of stock market returns rises more for firms with stickier prices than for firms with more flexible prices. This differential reaction is economically large and strikingly robust to a broad array of checks. These...

We propose a simple framework to assess the costs of nominal price adjustment using stock market returns. We document that, after monetary policy announcements, the conditional volatility rises more for firms with stickier prices than for firms with more flexible prices. This differential...

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 test which characteristics provide independent 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 propose a nonparametric method to test which characteristics provide independent 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...