I find that returns are predictably negative for several months after the onset of recessions, becoming high only thereafter. I identify business cycle turning points by estimating a state‐space model using macroeconomic data. Conditioning on the business cycle further reveals that returns exhibit momentum in recessions, whereas in expansions they display the mild reversals expected from discount rate changes. A strategy exploiting this pattern produces positive alphas. Using analyst forecast data, I show that my findings are consistent with investors' slow reaction to recessions. When expected returns are negative, analysts are too optimistic and their downward expectation revisions are exceptionally high.

Macrofinance term structure models rely too heavily on the volatility of expected inflation news as a source for variations in nominal bond yield shocks. We develop and estimate a model featuring inflation nonneutrality and preference shocks. The stochastic volatility of inflation and consumption govern bond risk premiums movements, whereas preference shocks generate fluctuations in real rates. The model accounts for key bond market features without resorting to an overly dominating expected inflation channel. The estimation shows that preference shocks are strongly negatively correlated with market distress factors and that real rate news is the dominant driver of nominal yield shocks.

We study the price discovery process on FOMC days. For several asset classes, we find that price movements around the post-meeting statement release are strong predictors of price movements around the subsequent press conference. The correlation is 58% for medium-term Eurodollar futures and 44% for the S&P500 index. We then time-stamp the words pronounced in press conference videos and align these words with high-frequency financial data. Minutes in which the chairman discusses changes in the newly issued policy statement underlie the positive correlation. We discuss potential explanations and consider the implications of our findings for asset pricing and monetary economics.

Over 140 countries agreed on a fundamental corporate tax reform in 2021 to be implemented in 2023 and beyond. To measure its potential effects, we study asset price changes within minutes of the reform announcements. We construct proxies for the reform’s costs regarding U.S. companies’ tax burdens and countries’ public finances. Likely exposed companies exhibit significant negative stock returns. Our lower-bound estimates indicate total shareholder value losses of $112.6 billion one day after the reform announcements. Further, likely exposed countries experience increases in sovereign debt credit risk. Our findings inform the cost-benefit analysis of a historical international tax reform.

Software is one of the most important assets that needs to be priced in the digital economy. It has emerged as a disruptive technology, with companies primarily valued for their software offerings growing from 2 percent to 13 percent of market share between 1996 and 2023. We document persistent anomalies in growth forecasts and stock returns for software companies, indicating significant deviations from rational expectations over multiple decades. Our findings are consistent with Bayesian investors gradually learning about software’s growing importance, highlighting how markets can be very slow to discern fundamental shifts from transient shocks in noisy data.

We use a high-frequency identification approach to document that individual politicians affect asset prices. We exploit the regular flow of viewpoints contained in Congress members’ tweets. Supportive (critical) tweets increase (decrease) the stock prices of the targeted firm and the corresponding industry in minutes around the tweet. The bulk of the stock price effects is concentrated in the tweets revealing news about future legislative action. The effects are amplified around committee meeting days, especially when the tweet originates from committee members and influential politicians. Overall, we show that Congress members’ social media accounts are an important source of political news.