Larger offices of Big 4 auditors are predicted to have higher quality audits for SEC registrants due to greater in-house experience in administering such audits. We test this prediction by examining a sample of 6,568 U.S. firm-year observations for the period 2003–2005 and audited by 285 unique Big 4 offices. Results are consistent with larger offices providing higher quality audits. Specifically, larger offices are more likely to issue going-concern audit reports, and clients in larger offices evidence less aggressive earnings management behavior. These findings are robust to extensive controls for client risk factors and to controls for other auditor characteristics. While the evidence suggests audit quality is higher on average in larger Big 4 offices, we make no claims that audit quality is unacceptably low in smaller offices.

We examine the financial reporting practices of small privately held businesses that are not subject to SEC regulation. Specifically, we determine the factors associated with the production and use of financial statements for firms that have discretion in the preparation of financial statements and do not face the demands of public equity markets. In addition, for firms that prepare financial statements, we determine the factors associated with the sophistication of the financial statements in terms of whether the financials are compiled, reviewed, and/or audited by a professional accountant and whether the firm produces accrual-based financial statements. Finally, we examine the potential benefits afforded firms producing financial statements, having audited financial statements, and having accrual-based financial statements. We find that firms with audited financial statements benefit in the form of greater access to credit and that firms with accrual-based financial statements benefit in the form of a lower cost of credit.

We present a theory that poor matching manifests as noise in the economic relation of advancing expenses to earn revenues. As a result, poor matching decreases the correlation between contemporaneous revenues and expenses, increases earnings volatility, decreases earnings persistence, and induces a negative autocorrelation in earnings changes. The empirical tests document these effects in a sample of the 1,000 largest U.S. firms over the last 40 years. We find a clear and economically substantial trend of declining contemporaneous correlation between revenues and expenses, increased volatility of earnings, declining persistence of earnings, and increased negative autocorrelation in earnings changes. The combined evidence suggests that accounting matching has become worse over time and that this trend has a pronounced effect on the properties of the resulting earnings. This evidence also suggests that the standard-setters’ stated goal of moving away from matching and toward more fair-value accounting is likely to continue and deepen the identified trends in the properties of earnings.

We evaluate the descriptive validity of the cost behavior model for profit analysis using Compustat data. For this purpose, we propose an earnings forecast model decomposing earnings into components that reflect (1) variability of costs with sales revenue and (2) stickiness in costs with sales declines. We evaluate the predictive ability of our model by benchmarking its performance in forecasting one-year-ahead returns on equity against that of two other time-series models based on line item information reported in the income statement and in the statement of cash flows. Specifically, we consider a model that disaggregates earnings into operating income and non-operating income components and another that disaggregates earnings into cash flows and accruals components. While all three models are less accurate than analysts' consensus forecasts that rely on a larger information set, we find that our model provides substantial improvement in forecast accuracy over the other two models that use only the line items in the financial statements. Finally, invoking the market efficiency assumption, we find that earnings forecast errors based on our model have greater relative information content than forecast errors based on the two alternative models based on financial statement information in explaining abnormal stock returns.

We develop an empirical method that allows us to evaluate the reliability of an expected return proxy via its association with realized returns even if realized returns are biased and noisy measures of expected returns. We use our approach to examine seven accounting-based proxies that are imputed from prices and contemporaneous analysts' earnings forecasts. Our results suggest that, for the entire crosssection of firms, these proxies are unreliable. None of them has a positive association with realized returns, even after controlling for the bias and noise in realized returns attributable to contemporaneous information surprises. Moreover, the simplest proxy, which is based on the least reasonable assumptions, contains no more measurement error than the remaining proxies. These results remain even after we attempt to purge the proxies of their measurement error via the use of instrumental variables and grouping. We provide additional evidence, however, that demonstrates that some proxies are reliable when the consensus long-term growth forecasts are low and/or when analysts' forecast accuracy is high.

We investigate the extent to which the trading and trade-generating activities of three informed market participants—financial analysts, institutional investors, and insiders—influence the relative amount of firm-specific, industry-level, and market-level information impounded into stock prices, as measured by stock return synchronicity. We find that stock return synchronicity is positively associated with analyst forecasting activities, consistent with analysts increasing the amount of industry-level information in prices through intra-industry information transfers. In contrast, stock return synchronicity is inversely related to insider trades, consistent with these transactions conveying firm-specific information. Supplemental tests show that insider and institutional trading accelerate the incorporation of the firm-specific component of future earnings news into prices alone, while analyst forecasting activity accelerates both the industry and firm-specific component of future earnings news. Our results suggest that all three parties influence the firm's information environment, but the type of price-relevant information conveyed by their activities depends on each party's relative information advantage.

This study examines changes in auditor risk assessments and sample size decisions based on information gathered from three large accounting firms for audits during 1994 and 1999. The five-year interval between data collection periods allows us to measure changes in risk assessments and sample sizes between the two periods. Auditors relied on controls and assessed inherent risk below the maximum on most audits, and were more likely to do so in the later period, consistent with a trend of lower risk assessment levels. Average sample sizes declined between 1994 and 1999 for the firms that had larger sample sizes in the earlier period. Overall, we find a significant relationship between inherent risk assessments and sample sizes, but this relationship is stronger in the earlier period and is not significant for all firms, especially in the later period. We find limited evidence of a relationship between control risk and sample sizes.

This paper suggests a new measure of one aspect of the quality of working capital accruals and earnings. One role of accruals is to shift or adjust the recognition of cash flows over time so that the adjusted numbers (earnings) better measure firm performance. However, accruals require assumptions and estimates of future cash flows. We argue that the quality of accruals and earnings is decreasing in the magnitude of estimation error in accruals. We derive an empirical measure of accrual quality as the residuals from firm-specific regressions of changes in working capital on past, present, and future operating cash flows. We document that observable firm characteristics can be used as instruments for accrual quality (e.g., volatility of accruals and volatility of earnings). Finally, we show that our measure of accrual quality is positively related to earnings persistence.

This paper develops and tests an option-style valuation model, whose main prediction is that equity value is a convex function of both earnings and book value, where the function depends on the relative values of earnings and book value. Earnings provides a measure of how the firm's resources are currently used. Book value provides a measure of the value of the firm's resources, independent of how the resources are currently used. When the ratio earnings/book value is high, the firm is likely to continue its current way of using resources, and earnings is the more important determinant of equity value. When earnings/book value is low, the firm is more likely to exercise the option to adapt its resources to a superior alternative use, and book value becomes the more important determinant of equity value. Evidence from a variety of empirical specifications is consistent with the convexity prediction.

Investigates accounting recognition as a major determinant of earnings' explanatory power for returns. Effects of economic events in the accounting of earnings; Financial reporting; Extent of earnings recognition lags; Conflicting qualities of relevance and reliability.