While numerous studies in accounting and finance are devoted to predicting firm-specific earnings and understanding the forecasting behavior of analysts and management, it is unclear whether or how accounting information at the micro level can be applied to the macroeconomy. Bonsall, Bozanic, and Fischer [2012], henceforth BBF, are part of a growing literature that seeks to address this question. BBF document that firm-specific management forecast releases are significantly positively associated with announcement-window aggregate stock market returns and further show that this significant market reaction is concentrated among “bellwether” firms. In this discussion, I argue that although BBF provide convincing evidence on the presence of timely macroeconomic information in management earnings forecasts, the exact nature of this information is somewhat of a black box. BBF’s results also raise the question of how the macroeconomic information content of management earnings forecasts differs from that of realized earnings. The answers to these questions can help reconcile the significantly positive association between management forecast surprises and aggregate stock returns with the previously documented negative relation between realized earnings surprises and aggregate stock returns.

ABSTRACT This paper develops a simple methodology based on the earnings response coefficient framework that allows decomposing realized returns into cash flow shocks and returns excluding cash flow shocks. I find that stocks with poor (good) accrual quality were on average subject to relatively lower (higher) cash flow shocks over the past 37 years. These lower (higher) cash flow shocks offset the higher (lower) expected returns of poor (good) accrual quality firms. After excluding cash flow shocks, future realized returns are negatively associated with accrual quality. The premiums pertaining to accrual quality are both statistically and economically significant in standard asset-pricing tests when cash flow shocks are excluded by firm-specific return decomposition. Overall, this paper provides evidence on the existence of a priced accrual quality risk factor, and underscores the importance of controlling for cash flow shocks in asset-pricing tests that use realized returns.

Heater, Nallareddy, and Venkatachalam (2021), hereafter HNV, find that aggregate merger and acquisition (M&A) activity explains the ability of aggregate accruals to predict market-wide returns. In this discussion, we delineate HNV's contribution to accounting literature and provide a review of the emerging stream of micro-to-macro accounting research. We also discuss HNV's findings in relation to research beyond accounting, including the literature on aggregate return prediction and mergers and acquisitions. Our discussion draws parallels between HNV's results and prior empirical evidence pertaining to aggregate investment and merger waves and identifies several puzzling inconsistencies. These inconsistencies highlight the lack of a clearly specified mechanism behind the return-predictive ability of aggregate M&A accruals. Finally, we point out the challenges posed by the small sample size and noisy measures of M&A accruals that may affect HNV's inferences. We conclude by suggesting several directions for future research.

We examine 12-month returns following disclosure of first-time going concern (GC) opinions in the U.S. and Australia. We find no evidence of significant negative abnormal returns associated with GC opinions in Australia. In the U.S., negative abnormal returns subsequent to GC opinions are sensitive to choice of expected returns—notably, there are no significant negative abnormal returns when using factor models or after controlling for momentum. Overall, contrary to Taffler, Lu, Kausar's [2004. In denial? Stock market underreaction to going-concern audit report disclosures. Journal of Accounting and Economics 38, 263–285.] U.K. results, we are unable to document a market anomaly in the U.S. or Australia associated with GC opinions.

ABSTRACT Earnings growth dispersion contains information about trends in labor reallocation, unemployment change, and, ultimately, aggregate output. We find that initial macroeconomic estimates released by government statistical agencies do not fully incorporate this information. As a consequence, earnings growth dispersion predicts future restatements in nominal and real GDP growth (and unemployment change) both in the in-sample and out-of-sample tests. Further, when we adjust GDP estimates using the out-of-sample restatement predictions, we find statistically and economically significant effects for the monetary policy prescriptions (Taylor rule) and banking regulation (Basel III).

ABSTRACT We find evidence that equity returns increase with the propensity for tax planning in a firm's industry. This risk premium is imposed on all firms in the industry, even those that are less aggressive than their peers. The industry-based risk premium coexists with a firm-specific discount associated with active tax planning strategies that carry low systematic risk. The discount on tax planning at the firm level, however, is dwarfed by the premium on tax planning at the industry level, and is concentrated in industries that are less likely to attract scrutiny from the tax authority.

ABSTRACT We examine whether organizational form matters for a firm's cost of capital. Contrary to the conventional view, we argue that coinsurance among a firm's business units can reduce systematic risk through the avoidance of countercyclical deadweight costs. We find that diversified firms have, on average, a lower cost of capital than comparable portfolios of stand‐alone firms. In addition, diversified firms with less correlated segment cash flows have a lower cost of capital, consistent with a coinsurance effect. Holding cash flows constant, our estimates imply an average value gain of approximately 5% when moving from the highest to the lowest cash flow correlation quintile.