This paper explains that value relevance research assesses how well accounting amounts reflect information used by equity investors, and provides insights into questions of interest to standard setters. A primary focus of financial statements is equity investment. Other uses of financial statement information, such as contracting, do not diminish the importance of value relevance research. Value relevance questions can be addressed using extant valuation models. Value relevance studies address econometric issues that otherwise could limit inferences, and can accommodate and be used to study the implications of accounting conservatism.

This study examines the relation between analysts' incentives to cover firms and the extent of their intangible assets. Because intangible assets typically are unrecognized and estimates of their fair values are not disclosed, absent analyst coverage firms with more intangible assets likely have less informative prices. Accordingly, we expect analysts have greater incentives to cover firms with more intangible assets and, thus, predict they have higher analyst coverage. As predicted, we find that analyst coverage is significantly greater for firms with larger research and development and advertising expenses relative to their industry, and for firms in industries with larger research and development expense. We also predict and find that analyst coverage is increasing in firm size, growth, trading volume, equity issuance, and perceived mispricing, and is decreasing in the size of the firm's analysts' brokerage houses and the effort analysts expend to follow the firm. These findings indicate that analyst coverage depends on private benefits and costs of covering a firm. We also test hypotheses related to analyst effort. We predict and find that analysts expend greater effort to follow firms with more intangible assets, after controlling for other factors associated with analyst effort. Our evidence indicates that intangible assets, most of which are not recognized in firms' financial statements, are associated with greater incentives for analysts to cover such firms, and greater costs of coverage. An open question is whether financial statement recognition of intangible assets could more efficiently provide information about such assets to investors.

Building on the Dechow et al. (1998) model of the accrual process, this study investigates the role of accruals in predicting future cash flows. The model shows that each accrual component reflects different information relating to future cash flows; aggregate earnings masks this information. As predicted, disaggregating accruals into major components—change in accounts receivable, change in accounts payable, change in inventory, depreciation, amortization, and other accruals—significantly enhances predictive ability. Each accrual component, including depreciation and amortization, is significant with the predicted sign in predicting future cash flows, incremental to current cash flow. The cash flow and accrual components of current earnings have substantially more predictive ability for future cash flows than several lags of aggregate earnings. The inferences are robust to alternative specifications, including controlling for operating cash cycle and industry membership.