Canonical intermediary asset pricing models assume a representative intermediary with an SDF linear in its leverage. Yet the leverage of broker-dealers is procyclical whereas the leverage of banking holding companies is countercyclical. I propose an empirically testable heterogeneous...

We provide empirical evidence of the causal effects of changes in financial intermediaries' net worth on the aggregate economy. Our strategy identifies financial shocks as high-frequency changes in the market value of intermediaries' net worth in a narrow window around their earnings...

The Great Financial Crisis of 2007-09 confirmed the vital importance of advancing our understanding of macrofinancial linkages, the two-way interactions between the real economy and the financial sector. The crisis was a bitter reminder of how sharp fluctuations in asset prices, credit and...

The correlation between stock and housing prices, which is critical for household asset allocations, varies widely by metropolitan area and country. A general equilibrium model demonstrates that an aggregate positive technology shock increases stock prices and housing demand but can decrease...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...