ABSTRACT The use of observed transaction sizes to differentiate between “small” and “large” investor trading patterns is widespread. A significant concern in such studies is spurious effects attributable to misclassification of transactions, particularly those originating from large investors. Such effects can arise unintentionally, strategically, or endogenously. We examine comprehensive records of a sample of institutional investors (i.e., “large” traders), including their order sizes and overall position changes, to assess the degree to which such misclassifications give rise to spurious inferences about “small” and “large” investor trading activities. Our analysis shows that these institutions are heavily involved in small transaction activity. It also shows that they increase their order sizes substantially in announcement periods relative to nonannouncement periods, presumably as an endogenous response to earnings news. In the immediate earnings announcement period, transaction size‐based inferences about directional trading are quite misleading—producing spurious “small trader” effects and, more surprisingly, erroneous inferences about “large trader” activity.

Abstract We examine whether foreign national directors (FNDs) on US corporate boards help their firms mitigate the adverse effects of economic policy uncertainty (EPU) shocks originating from the directors' home countries. Using a comprehensive data set of US manufacturing firms' international supply chain relationships from 2003 to 2019, we find that EPU spikes in supplier countries lead to significant declines in aggregate US imports as well as in buyer firms' inventory purchases, sales, and market valuation. However, firms with FNDs from the affected countries are better able to mitigate these negative impacts. Cross‐sectional analyses reveal that the beneficial role of FNDs is more pronounced in firms with limited operational slack, greater difficulty accessing information about supplier countries, and higher financial constraints. Robust to a battery of sensitivity tests, our findings underscore the importance of FNDs on corporate boards during times of increased global uncertainty, especially for firms heavily reliant on foreign suppliers, and inform the debate on board diversity and supply chain resilience amid economic policy‐driven uncertainties.

ABSTRACT In September 2009, Thomson Reuters (TR) discontinued its practice of relying on analysts to determine the treatment of unexpected charges and gains in favor of their immediate exclusion from GAAP earnings. Adopting a difference‐in‐differences approach, we show that this plausibly exogenous change in TR's methodology resulted in street earnings that are more predictive of future performance; and timelier, more accurate, and less dispersed analyst forecasts of future earnings, consistent with TR enhancing the properties of street earnings and analyst forecasts. Finally, using path analysis we show that a significant portion of TR's effect on price discovery is through its effect on analysts; and that the change in TR's treatment of unexpected items increased (decreased) the relative influence of TR (analysts) on the pricing of street earnings. We conclude that forecast data providers like TR are more than a conduit of information from analysts to investors.

We present new evidence that highlights the role of information intermediaries in the distribution and processing of earnings estimates in capital markets. We find that the time taken to activate an analyst's earnings forecast in the Thomson Reuters Institutional Brokers’ Estimate System is related to measures of investor demand for timely information processing, processing difficulty, and limited attention. Furthermore, we find that forecast announcement returns are muted and post-announcement drift is magnified for forecasts with longer unexpected activation delay and that market inefficiency is concentrated in neglected stocks and potentially exploitable. Finally, analyzing intraday returns, we find that activations facilitate price discovery.

We examine the determinants and consequences of broker-hosted investor conferences. We find the number of brokers hosting a firm at conferences is positively related to institutional ownership and intangible assets, consistent with greater client demand for management access among hard-to-value firms. Younger firms and those that issue equity in the future attend more conferences, suggesting firms view conference participation as a means to enhance investor recognition. Hosting brokers are rewarded with increased commission revenue. Commission share increases by 0.61% during the conference week, with larger increases following more informative conference disclosures. Firms also benefit from conference participation. In the subsequent year, conference firms are followed by an additional 0.34 analysts, undergo a 6% reduction in bid-ask spread, and experience a 0.03 increase in Tobin׳s q.

ABSTRACT We examine whether the information conveyed in a relatively new analyst research output—capital expenditure (capex) forecasts—affects corporate investment efficiency. We find that firms with analyst capex forecasts exhibit higher investment efficiency. This effect is stronger when the forecasts are issued by analysts with higher ability or greater industry knowledge. Moreover, the effect of capex forecasts on investment efficiency varies with the signals they convey about future growth opportunities—positive‐growth signals are more effective in reducing underinvestment, while negative‐growth signals are more effective in reducing overinvestment. Cross‐sectional tests suggest that these effects operate at least in part through both a financing channel and a monitoring channel. Taken together, our results suggest that analysts' capex forecasts convey useful information about firms' growth opportunities to managers and investors, which can facilitate efficient investment.

We examine whether access to management at broker-hosted investor conferences leads to more informative research by analysts. We find analyst recommendation changes have larger immediate price impacts when the analyst׳s firm has a conference-hosting relation with the company. The effect increases with hosting frequency and is strongest in the days following the conference. Conference-hosting brokers also issue more informative, accurate, and timely earnings forecasts than non-hosts. Our findings suggest that access to management remains an important source of analysts׳ informational advantage in the post-Regulation Fair Disclosure world.