We build a new measure of credit and financial market sentiment using Natural Language Processing on Twitter data. We find that the Twitter Financial Sentiment Index (TFSI) correlates highly with corporate bond spreads and other price- and survey-based measures of financial conditions. We...

We introduce a new software package for determining linkages between datasets without common identifiers. We apply these methods to three datasets commonly used in academic research on syndicated lending: Refinitiv LPC DealScan, the Shared National Credit Database, and S&P Global Market...

Machine learning (ML) techniques are used to construct a financial conditions index (FCI). The components of the ML-FCI are selected based on their ability to predict the unemployment rate one-year ahead. Three lessons for macroeconomics and variable selection/dimension reduction with large...

We conduct a novel empirical analysis of the role of leverage of financial institutions for the transmission of financial shocks to the macroeconomy. For that purpose we develop an endogenous regime-switching structural vector autoregressive model with time-varying transition probabilities that...

This paper highlights two new effects of credit default swap markets (CDS) in a general equilibrium setting. First, when firms' cash flows are correlated, CDSs impact the cost of capital{credit spreads{and investment for all firms, even those that are not CDS reference entities. Second, when...

This paper studies competitive market shutdowns due to adverse selection, where sellers post nonexclusive menus of contracts. We first show that the presence of the worst type of agents (moldy lemons) causes markets to fail only if their mass is sufficiently large. We then show that a small mass...

We study how adverse selection distorts equilibrium investment allocations in a Walrasian credit market with two-sided heterogeneity. Representative investor and partial equilibrium economies are special cases where investment allocations are distorted above perfect information allocations. By...

This paper investigates the risk channel of monetary policy through banks' lending standards. We modify the classic costly state verification (CSV) problem by introducing a risk-neutral monopolistic bank, which maximizes profits subject to borrower participation. While the bank can diversify...

We develop a theory of learning in a model of fire sales and collateralized debt to study how beliefs about fundamentals are shaped by market conditions. Agents exchange short-term debt contracts to invest in a long-term risky asset, and receive shocks to the opportunity cost of funds (cost...

This paper describes the effects of a temporary increase in tariffs on the performance and behavior of U.S. manufacturers. Using a dataset that includes the full population of U.S. manufacturing plants, I show that an apparent positive correlation between antidumping duties and traditional...