We introduce FDIF, a measure of Fed communication surprise based on the text of FOMC statements. FDIF measures the difference between text-implied and actual values of key market variables. Positive FDIF of countercyclical variables (e.g., credit spreads) is associated with negative...

The extant literature predicts market returns with "simple" models that use only a few parameters. Contrary to conventional wisdom, we theoretically prove that simple models severely understate return predictability compared to "complex" models in which the number of parameters exceeds the...

Municipal bond markets begin pricing sea level rise (SLR) exposure risk in 2013, coinciding with upward revisions to worst-case SLR projections and accompanying uncertainty around these projections. The effect is larger for long-maturity bonds and is not solely driven by near-term flood risk. We...

A war-related factor model derived from textual analysis of media news reports explains the cross section of expected asset returns. Using a semi-supervised topic model to extract discourse topics from 7,000,000 New York Times stories spanning 160 years, the war factor predicts the cross section...

The conversion of brown office buildings to green apartments can contribute towards a solution to three pressing issues: oversupply of office in a hybrid-and-remote-work world, shortage of housing, and excessive greenhouse gas emissions. We propose a set of criteria to identify commercial office...

Using text from 200 million pages of 13,000 US local newspapers and machine learning methods, we construct a 170-year-long measure of economic sentiment at the country and state levels, that expands existing measures in both the time series (by more than a century) and the cross-section. Our...

We show that time variation in risk premia leads to time-varying idiosyncratic income risk for workers. Using US administrative data on worker earnings, we show that increases in risk premia lead to lower earnings for low-wage workers; these declines are primarily driven by job separations. By...

Using a semi-supervised topic model on 7,000,000 New York Times articles spanning 160 years, we test whether topics of media discourse predict future stock and bond market returns to test rational and behavioral hypotheses about market valuation of disaster risk. Focusing on media discourse...

We find that financial conditions in the core have significant spillover effects on cross-border mergers and acquisitions (M&As). On average, a 1 percentage point easing of the IMF US Financial Conditions Index is associated with approximately a 10% higher volume of cross-border M&As. The...

We analyze the effect of a major central bank digital currency (CBDC) - the digital euro - on the payment industry to find remarkably heterogeneous effects. Stock prices of U.S. payment firms decrease, while stock prices of European payment firms increase in response to positive announcements on...