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The Present Value of Future Market Power

Review of Financial Studies 2026
We introduce a present-value identity relating a firm’s market value to expected future markups, output growth, discount rates, and investments. Distinguishing current from expected markups reveals five empirical facts: (1) Expected markups account for half the rise in U.S. firm values since 1980. (2) The rise in aggregate expected markups reflects market-share reallocation toward high-expected-markup firms and within-firm increases. (3) Expected markups are linked to intangible investments. (4) They relate negatively to discount rates over time but (5) positively to abnormal returns across firms. Finally, variation in long-term expected markups is primarily associated with asset prices rather than current markups.

The Impact of Carcinogenic Risk Exposure on Housing Values: Estimates from Chemical Reclassifications

Review of Financial Studies 2026 open access
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.

Cyclical Dispersion in Expected Defaults

Review of Financial Studies 2019 32(4), 1275-1308
A growing literature shows that credit indicators forecast aggregate real outcomes. While researchers have proposed various explanations, the economic mechanism behind these results remains an open question. In this paper, we show that a simple, frictionless model explains empirical findings commonly attributed to credit cycles. Our key assumption is that firms have heterogeneous exposures to underlying economy-wide shocks. This leads to endogenous dispersion in credit quality that varies over time and predicts future excess returns and real outcomes. Received August 7, 2017; editorial decision June 26, 2018 by Editor Stijn Van Nieuwerburgh.