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Financial information and diverging beliefs

Review of Accounting Studies 2024 29(3), 2082-2124 open access
Abstract Standard Bayesians’ beliefs converge when they receive the same piece of new information. However, when agents initially disagree and have uncertainty about the precision of a signal, their disagreement might instead increase, despite receiving the same information. We demonstrate that this divergence of beliefs leads to a unimodal effect of the absolute surprise in the signal on trading volume. We show that this prediction is consistent with the empirical evidence using trading volume around earnings announcements of U.S. firms. We find evidence of elevated volume following moderate surprises and depressed volume following more extreme surprises, a pattern that is more pronounced when investors hold more distant prior beliefs and are more uncertain about earnings’ precision. The evidence is consistent with the model where investors disagree about stocks’ expected returns and do not know the precision of earnings as a signal about the firm’s value.

Rank-and-file accounting employee compensation and financial reporting quality

Journal of Accounting and Economics 2024 78(1), 101672
We use a proprietary database with detailed, employee-specific compensation contract information for rank-and-file corporate accountants who are directly involved in the financial reporting process to assess their influence on their firms' financial reporting quality. Theory predicts that paying above-market wages can both attract employees with more human capital and subsequently encourage better performance. Consistent with audit committees structuring accountants' compensation to mitigate financial misreporting that might otherwise occur, we find that firms with relatively well-paid accountants tend to issue higher-quality financial reports. Moreover, this relationship is more pronounced when firms’ senior executives have stronger contractual incentives to misreport and when the audit committee is more independent from management.