A Star Is Born: The Relationship Between Performance and Achieving Status Through Certification Contests in the Context of Equity Analysts

We investigate how the relationship between status and performance decouples over time by addressing two questions: (1) how performance affects the likelihood that an actor achieves high status and (2) how achieving high status affects the actor’s subsequent performance. In doing so, we focus on the role repeated certification contests play, where evaluators assess actors’ performance along particular dimensions and confer high status on the contest winners. Using the context of sell-side (brokerage) equity analysts and the “All-Star” list from Institutional Investor magazine, we first investigate whether analysts who make the All-Star list are more likely to produce accurate and/or independent forecasts. Then, we investigate analyst performance after recent and multiple wins. Our results demonstrate the decoupling of status and performance over time and the roles played by both the high-status actor and the social evaluators conferring their status. Whereas analyst performance increases the likelihood of being designated an All-Star, recent and multiple All-Star designations differentially affect both how subsequent performance is assessed, and how the All-Star analysts subsequently perform. In the short term, achieving high status can increase performance and solidify an analyst’s status position; however, in the long term, it can lead to lower performance and eventually result in status loss, which further erodes performance.

Noncompliance with SEC regulations: evidence from timely loan disclosures

We use required 8-K filings around major borrowings to shed light on firms’ choices of whether to comply with SEC disclosure rules. Exploiting within-firm variation, we find that firms are more likely to hide loans with high spreads and tight financial covenants. We further find that firms appear to exploit the ambiguity of the definition of materiality, as they are more likely to selectively disclose (hide) “immaterial” loans when interest rates are low (high). Firms are less likely to hide loans when investors anticipate borrowing during asset acquisition, when firms are followed by more equity analysts or receive more investor attention, and when the firms’ stock prices are more volatile. Lastly, we provide evidence that the SEC does not rigorously enforce compliance with 8-K loan disclosures.

When Do Associate Analysts Matter?

Although extant literature investigates the role of sell-side equity analysts in capital markets, most studies do not consider that sell-side equity analysts often work in hierarchical teams. Lead analysts manage a team of associate and junior analysts who participate in the team’s tasks. Building on the delegation theory in the management literature, we hypothesize and find a division of labor between lead and associate analysts, where lead analysts are more likely to delegate tasks (1) that are less significant, (2) that are simpler, (3) when the workload of the lead analyst increases, and (4) when the associate analyst is more competent. Our results further suggest that associate analysts play a significant role in forecasting. By contrast, lead analysts are the main contributors to the qualitative aspects of analyst reports and are more likely to participate in earnings conference calls. Overall, our study documents the significant role of associate analysts in forecasting and the division of labor between lead and associate analysts. This paper was accepted by Brian Bushee, accounting.

CEO Pay Components and Aggressive Non-GAAP Earnings Disclosure

We examine the relation between CEO pay components and aggressive non-GAAP earnings disclosures using CEO pay components as proxies for managers’ short- versus long-term focus. Specifically, we explore the extent to which short-term bonus plan payouts and long-term incentive plan payouts are associated with: (1) Managers’ propensity to exclude expense items in excess of those excluded by equity analysts; and, (2) The magnitude of those incremental exclusions. We find that long-term incentive plan payouts are negatively associated with the likelihood and magnitude of aggressive non-GAAP exclusions. Our results are consistent with managers reporting non-GAAP information less aggressively when they are more focused on long-term, rather than short-term, value.

First Impression Bias: Evidence from Analyst Forecasts*

We present evidence of first impression bias among finance professionals in the field. Equity analysts’ forecasts, target prices, and recommendations suffer from first impression bias. If a firm performs particularly well (poorly) in the year before an analyst follows it, that analyst tends to issue optimistic (pessimistic) evaluations. Consistent with negativity bias, we find that negative first impressions have a stronger effect than positive ones. The market adjusts for analyst first impression bias with a lag. Finally, our findings contribute to the literature on experience effects. We show that a set of professionals in the field, equity analysts, apply U-shaped weights to their sequence of past experiences, with greater weight on first experiences and recent experiences than on intermediate ones.

Terrorist Attacks, Analyst Sentiment, and Earnings Forecasts

We examine whether exogenous and extremely negative events, such as terrorist attacks and mass shootings, influence the sentiment and forecasts of sell-side equity analysts. We find that analysts who are local to these attacks issue forecasts that are relatively more pessimistic than the consensus forecast. This effect is stronger when the analyst is closer to the event and located in a low-crime region. Impacted analysts are also relatively more pessimistic around the one- and two-year anniversaries of the attacks. Collectively, these findings indicate that exposure to extreme negative events affects the behavior of information intermediaries and the information dissemination process in financial markets. This paper was accepted by David Simchi-Levi, finance.