Does firm reporting quality and analyst forecasting skill influence the analyst choice to issue revenue forecasts?

This study documents that analysts are more likely to issue revenue forecasts to complement earnings-per-share estimates (EPS) when the quality of firm financial reporting is low. This is because compared to EPS forecasts accuracy, revenue forecast accuracy is less adversely affected by poor reporting quality, and as a result, investors rely more on revenue than EPS estimates in their investment decisions when the reporting quality is low. The result is robust to using five proxies for the quality of firm financial reporting: the variation in discretionary accruals, the absolute level of discretionary accruals, earnings persistence, absolute total accruals, and earnings volatility. Further, we document that better earnings forecasters are more likely to issue revenue estimates. This is because only better quality analysts would want their forecasts to be subject to higher market scrutiny, and because a combination of accurate revenue and EPS forecasts is a stronger signal of the analyst forecasting skill compared to an accurate stand-alone EPS estimate only

Social stigma and executive compensation

We document that executives working at firms perceived negatively in light of social norms, such as tobacco, gambling and alcohol, earn a significant compensation premium. The premium compensates for personal costs executives bear due to their employer’s negative public perception and include: (i) a reduced likelihood these CEOs will serve as directors on other firms’ boards, which associates with lower executives’ social status, and (ii) impaired job mobility as employers shun stigmatized executives. The compensation premium is not explained by higher managerial skill required in firms we investigate, higher employment contract risk, political capital, litigation risk, or differences in corporate governance quality, and robust to endogeneity concerns. Our results highlight the significant impact job-related social stigma has on executive compensation

Three essays on the long-run performance of films issuing seasoned equity offerings

Three essays on the long-run performance of firms issuing seasoned equity offering. Does liquidity risk explain the underperformance following seasoned equity offerings? In the first essay, I examine whether firms that issue seasoned equity experience stock liquidity gains after the offering and explore the role of liquidity risk in explaining their long-run performance. Long-run returns following seasoned equity offerings: market timing or discount rate effect? In the second essay, I build on conditional latent information models to test the market timing explanation for the long-run performance following seasoned equity offerings (SEOs). Propensity score matching and long-run performance following seasoned equity offerings Li and Zhao (2006) and Cheng (2003) report that propensity score matching eliminates the abnormal performance of firms issuing seasoned equity.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Does Algorithmic Trading Affect Analyst Research Production?

We document a causal negative relationship between algorithmic trading (AT) and analyst research production, as captured by a decreased frequency of earnings forecasts and stock recommendations and lower analyst coverage. This is consistent with AT increasing the speed of price discovery, reducing the profitability of trades on analyst research by non-algorithmic traders and, consequently, their demand for analyst investment advice. Supporting evidence shows that the effect of AT on analyst research production is stronger for stock recommendations, which institutions follow primarily for investment decisions, and for forecasts issued before earnings announcements when analysts’ information discovery dominates the information interpretation role. We also find a negative relationship between AT and investment-focused institutional investors such as transient and non-monitoring investors. Our analysis demonstrates that AT can have long-lasting consequences on capital markets, beyond microstructure effects, through its negative effect on firm’s information environment

Does Algorithmic Trading Affect Analyst Research Production?

We document a causal negative relationship between algorithmic trading (AT) and analyst research production, as captured by a decreased frequency of earnings forecasts and stock recommendations and lower analyst coverage. This is consistent with AT increasing the speed of price discovery, reducing the profitability of trades on analyst research by non-algorithmic traders and, consequently, their demand for analyst investment advice. Supporting evidence shows that the effect of AT on analyst research production is stronger for stock recommendations, which institutions follow primarily for investment decisions, and for forecasts issued before earnings announcements when analysts’ information discovery dominates the information interpretation role. We also find a negative relationship between AT and investment-focused institutional investors such as transient and non-monitoring investors. Our analysis demonstrates that AT can have long-lasting consequences on capital markets, beyond microstructure effects, through its negative effect on firm’s information environment

Does Algorithmic Trading Affect Analyst Research Production?

We document a causal negative relationship between algorithmic trading (AT) and analyst research production, as captured by a decreased frequency of earnings forecasts and stock recommendations and lower analyst coverage. This is consistent with AT increasing the speed of price discovery, reducing the profitability of trades on analyst research by non-algorithmic traders and, consequently, their demand for analyst investment advice. Supporting evidence shows that the effect of AT on analyst research production is stronger for stock recommendations, which institutions follow primarily for investment decisions, and for forecasts issued before earnings announcements when analysts’ information discovery dominates the information interpretation role. We also find a negative relationship between AT and investment-focused institutional investors such as transient and non-monitoring investors. Our analysis demonstrates that AT can have long-lasting consequences on capital markets, beyond microstructure effects, through its negative effect on firm’s information environment