A New Approach to Predicting Analyst Forecast Errors: Do Investors Overweight Analyst Forecasts?

By Eric C. So. 2013

218 citations recorded by the source corpus.

Subfields: Accounting, Finance, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/9eb7a2992e57286169310fc0a0f18135e9f6790c

Citations in the corpus

• A Tough Act to Follow: Contrast Effects in Financial Markets (2018, unknown): “…about what their goal is and how unbiased they are (e.g., McNichols and O’Brien, 1997; Lin and McNichols, 1998; Hong and Kubik, 2003; Lim, 2001; and So, 2013), our tests only require that such a bias is not correlated with the surprises of other firms in the day before a firm announces earnings.”
• The Value of Crowdsourced Earnings Forecasts: THE VALUE OF CROWDSOURCED EARNINGS FORECASTS (2016, unknown): “These findings complement Chen et al.’s (2014) evidence that research commentaries available on an investment research website, Seeking Alpha, convey new information and suggest that tapping into the wisdom of a diverse group of individuals can produce investment research that supplements the sell-s”