A signal that identifies asset pricing bubbles would be valuable so investors could reposition their portfolios to weather the bubble, yet ex ante bubble identification has proven illusory. Arif and Sul (2024) study whether industry-level investment in net operating asset (NOA) accruals is an ex ante accounting-based signal that predicts bubbles. Using industry-level price run-ups across 49 countries, they find that NOA accruals predict a higher likelihood of a future crash, lower future returns, and larger analyst forecast errors, especially following run-up periods. The authors attribute these patterns to sentiment-driven overinvestment. My discussion summarizes the contributions of Arif and Sul's findings to the asset pricing bubbles, behavioral finance, and aggregate accruals literatures. I also outline empirical challenges faced by studies investigating bubbles and recommend approaches to further strengthen inferences. Finally, I propose opportunities for future research to integrate deeper accounting knowledge into bubble research.

We use the ethnicity of CEOs across 31 countries as a proxy for their common inherited beliefs and values and find an ethnicity effect in CEO variable pay. We find that the ethnicity effect in variable pay is not driven by the ethnicity effects in corporate policy decisions, and that changes in CEO compensation are significantly larger when CEOs are replaced with a person from a different ethnicity. Our estimated ethnicity effect captures the future time reference and religion of CEOs’ ancestors. Finally, we find an ethnicity effect in performance-firing sensitivities (i.e., the sensitivity to being fired due to poor performance).