Two ex-ante variables are introduced to characterize the analysts' biased behavior, namely the analysts' disagreement and self-selection in analysts' earnings forecasts. The study investigates the impact of the analysts' disagreement and self-selection on the stock returns. A theoretical...

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...

This paper examines the role of financial statement comparability in shaping trading volume prior to earnings announcements. We find that the degree of delayed trading volume prior to earnings announcements is less pronounced for firms with more comparable financial statements. In addition, the...

We investigate whether investors are misled by firms that exclude particular expenses in calculating non-GAAP earnings in order to beat analysts' earnings forecasts. Our empirical analyses suggest that firms that pursue a strategy of non-GAAP reporting to beat analysts' earnings forecasts not...

We perform a large-scale empirical analysis of pairs trading, a popular relative-value arbitrage approach. We start with a cross-country study of 34 international stock markets and uncover that abnormal returns are a persistent phenomenon. We then construct a comprehensive U.S. data set to...

This study presents evidence suggesting that investors do not fully unravel predictable pessimism in sell-side analysts' earnings forecasts. We show that measures of prior consensus and individual analyst forecast pessimism are predictive of both the sign of firms' earnings surprises and the...

We test the implications of anchoring bias associated with forecast earnings per share (FEPS) for forecast errors, earnings surprises, stock returns, and stock splits. We find that analysts make optimistic (pessimistic) forecasts when a firm's FEPS is lower (higher) than the industry median....