I use micro data to quantify key features of U.S. firm financing. In particular, I establish that a substantial 35% of firms' investment is funded using financial markets. I then construct a dynamic equilibrium model that matches these features and fit the model to business cycle data using...

This chapter surveys the literature on housing in macroeconomics. We first collect facts on house prices and quantities in both the time series and the cross section of households and housing markets. We then present a theoretical model of frictional housing markets with heterogeneous agents...

Measured over long horizons, the correlation between stocks and commodities is close to zero. However, it varies widely over time. Using historical data extending back to 1960 we study the stock-commodity correlation and show: (1) stock-commodity correlation has a business cycle component: it is...

We develop a model of gross capital flows and analyze their role in global financial stability. In our model, consistent with the data, when a country experiences asset fire sales, foreign investments exit (fickleness) while domestic investments abroad return home (retrenchment). When countries...

We propose a production-based general equilibrium model to study the link between timing of cash flows and expected returns both in the cross section of stocks and along the aggregate equity term structure. Our model incorporates long-run growth news with time-varying volatility and slow...

A large literature suggests that the expected equity risk premium is countercyclical. Using a variety of different measures for this risk premium, we document that it also exhibits growth asymmetry, i.e. the risk premium rises sharply in recessions and declines much more gradually during the...

We assemble a data set of more than eight million German Twitter posts related to the war in Ukraine. Based on state-of-the-art methods of text analysis, we construct a daily index of uncertainty about the war as perceived by German Twitter. The approach also allows us to separate this index...

We assemble a data set of more that eight million German Twitter posts related to the war in Ukraine. Based on state-of-the-art methods of text analysis, we construct a daily index of uncertainty about the war as perceived by German Twitter. The approach also allows us to separate this index...

This chapter studies how incomplete information helps accommodate frictions in coordination, leading to novel insights on the joint determination of expectations and macroeconomic outcomes. We review and synthesize recent work on global games, beauty contests, and their applications. We...