Accounting for bubbles: A discussion of Arif and Sul (2024)
Atif Ellahie
Journal of Accounting and Economics, 2024, vol. 78, issue 2
Abstract:
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.
Keywords: Asset pricing; Behavioral finance; Aggregate accruals; Market efficiency; Bubbles (search for similar items in EconPapers)
JEL-codes: E3 G1 G12 M4 M41 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jaecon:v:78:y:2024:i:2:s0165410124000478
DOI: 10.1016/j.jacceco.2024.101717
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