Focuses on the relationship between firms' tendencies to access capital markets and to disclose earnings forecasts. Disclosure tendencies of companies with external financing; Relation between management forecasts and analysts' expectations.

This paper analyzes the distribution of stock ratings at investment banks and brokerage firms and examines whether these distributions can predict the profitability of analysts’ recommendations. We document that the percentage of buys decreased steadily starting in mid-2000, likely due, at least partly, to the implementation of NASD Rule 2711, requiring the public dissemination of ratings distributions. Additionally, we find that a broker's ratings distribution can predict recommendation profitability. Upgrades to buy (downgrades to hold or sell) issued by brokers with the smallest percentage of buy recommendations significantly outperformed (underperformed) those of brokers with the greatest percentage of buys.

We document that property-casualty insurers with small positive earnings understate loss reserves relative to insurers with small negative earnings. Furthermore, loss reserves are managed across the entire distribution of earnings, with the most income-increasing reserve accruals reported by small profit firms, and the most income-decreasing reserve accruals reported by firms with the highest earnings. We analyze this pattern separately for public, private, and mutual companies, and find that public companies and mutuals manage loss reserves to avoid losses, but that private companies do not. We also find evidence of reserve management to avoid losses by financially healthy and distressed firms.

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.

We develop and estimate a two-sided matching model of auditors and clients. We find evidence that auditors and clients engage in matching based on their preferences on both observable and unobservable characteristics. This matching appears to partly explain the “Big 4 effect” on audit outcomes: after controlling for the effects of matching, we find that the positive influence of having a Big 4 auditor on serious restatements and serious comment letter conversations with the SEC either weakens or disappears. Collectively, our results highlight the importance of accounting for two-sided matching between auditors and clients in understanding the influence of auditors on clients’ financial reporting practices.

We document that purchasing (selling short) stocks with the most (least) favorable consensus recommendations, in conjunction with daily portfolio rebalancing and a timely response to recommendation changes, yield annual abnormal gross returns greater than four percent. Less frequent portfolio rebalancing or a delay in reacting to recommendation changes diminishes these returns; however, they remain significant for the least favorably rated stocks. We also show that high trading levels are required to capture the excess returns generated by the strategies analyzed, entailing substantial transactions costs and leading to abnormal net returns for these strategies that are not reliably greater than zero.