Abstract
We propose a simple framework for understanding accounting-based stock return regularities. A firm’s accounting reports provide noisy information about hidden economic states that evolve according to a Markov process. In response to the accounting reports, a representative Bayesian investor forms beliefs about the underlying state and hence the value of the firm. For a population of such firms, the model provides predictions consistent with two sets of well-documented regularities: (i) the market reaction to an earnings announcement that ends a string of consecutive earnings increases and (ii) the return predictabilities based on accruals and book-tax differences. The model also yields novel cross-sectional predictions about the distinct roles of economic persistence and earnings informativeness. We confirm these predictions through empirical tests.
Original language | English (US) |
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Pages (from-to) | 1263-1300 |
Number of pages | 38 |
Journal | Review of Accounting Studies |
Volume | 25 |
Issue number | 4 |
DOIs | |
State | Published - Dec 1 2020 |
All Science Journal Classification (ASJC) codes
- Accounting
- General Business, Management and Accounting