Theoretical studies show that shocks to funding constraints should affect and be af-fected by market illiquidity. However, little is known about the empirical magnitude of such responses because of the intrinsic endogeneity of illiquidity shocks. This paper adopts an identification technique...

Algorithms enable investors to locate trading opportunities, which raises gains from trade. Algorithmic traders can also process information on stock values before slow traders, which generates adverse selection. We model trading in this context and show that, for a given level of algorithmic...

We provide empirical evidence that the relationship between market and funding liquidity display significant nonlinearities, consistent with theories of market trading with financially-constrained agents. Using data for the US equity market, we uncover nonlinearities that are consistent with a...