We decompose corporate bond and equity index returns into duration-matched government bond returns and the excess returns over this duration-matched counterfactual, which we term duration-adjusted returns. Compared with previously used excess return definitions (ie, returns in excess of Treasury bills), our decomposition leads to markedly different return patterns and asset pricing implications. In particular, we find that investment-grade bonds earn a small credit risk premium, comparable in magnitude to the convenience yield, and that duration adjustment resolves the CAPM’s failure to price corporate bonds. These findings highlight the importance of adjusting for nonstationary interest rate environments in asset pricing tests.

We introduce a real-time measure of conditional biases to firms’ earnings forecasts. The measure is defined as the difference between analysts’ expectations and a statistically optimal unbiased machine-learning benchmark. Analysts’ conditional expectations are, on average, biased upward, a bias that increases in the forecast horizon. These biases are associated with negative cross-sectional return predictability, and the short legs of many anomalies contain firms with excessively optimistic earnings forecasts. Further, managers of companies with the greatest upward-biased earnings forecasts are more likely to issue stocks. Commonly used linear earnings models do not work out-of-sample and are inferior to those analysts provide.

We quantify the impact of perceived cancer risk on housing values using widely advertised national reclassifications of chemical carcinogenicity in the United States. Combining these information events with an empirical design that compares changes in house values closer to affected toxic plants against those farther away isolates the effect of cancer risk news from other local factors. Focusing on plants previously emitting reclassified carcinogenic chemicals, we estimate a 1–2% decline in housing values within a 3-mile radius compared to those located farther away. The effects are stronger in areas with higher media presence underscoring the role of salience as a mechanism.