The knowledge base of companies is increasingly seen as underlying a firm’s performance, and the role of knowledge workers within this framework is seen as strongly associated with a firm’s competitive performance. This perspective views the effective management of knowledge workers as crucial in sustaining an organisation’s competitive advantage. The paper views the financial industry as a kno...

For one aspect of grammatical annotation, part-of-speech tagging, we investigate experimentally whether the ceiling on accuracy stems from limits to the precision of tag definition or limits to analysts’ ability to apply precise definitions, and we examine how analysts’ performance is affected by alternative types of semi-automatic support. We find that, even for analysts very well-versed in a ...

My paper provides a new way to understand analysts’ bold recommendations by dividing them into two categories: (a) Contra-bold recommendations (bold without followers) and (b) leading-bold recommendations (bold with followers). A comparison of market performance indicates that (1) leading-bold recommendations create higher market returns than contra-bold or non-bold recommendations both in reac...

Analysts often provide forecasts of one-year ahead earnings, earnings two-year ahead, as well as long-term earnings growth rates. In our attempts to understand the properties of these contemporaneous multi-period earnings forecasts, we begin by examining whether analysts’ earnings forecasts can be described using the linear information dynamics (LID). We find that LID is an appropriate descript...

This paper presents a model that relates properties of the analysts' information environment to the properties of their forecasts. First, we express forecast dispersion and error in the mean forecast in terms of analyst uncertainty and consensus (that is, the degree to which analysts share a common belief). Second, we reverse the relations to show how uncertainty and consensus can be measured b...

Several studies find that stocks with higher dispersion of analysts’ earnings forecasts have lower future returns. The phenomenon is popularly interpreted as evidence that stock prices reflect optimism in the presence of differences of opinions and short-sales constraints. This paper shows that stocks with higher forecast dispersion also experience poorer operating performance in the future. We...

Existing process mining techniques provide summary views of the overall process performance over a period of time, allowing analysts to identify bottlenecks and associated performance issues. However, these tools are not designed to help analysts understand how bottlenecks form and dissolve over time nor how the formation and dissolution of bottlenecks – and associated fluctuations in demand an...

Analysts should strive for the EDS system that provides the highest efficiency for their analytical work. For detectors, that typically means starting with the geometry with the best solid angle (SA) value. Manufacturers should be designing interfaces to maximize the solid angle of the detectors without compromising the integrity of the electron columns. Accurate modeling of the solid angle is ...

In September 2009, Thomson Reuters (TR) discontinued its practice of relying on analysts to determine the treatment unexpected charges and gains in favor their immediate exclusion from GAAP earnings. Adopting a difference-in-differences approach, we show that this plausibly exogenous change TR's methodology resulted street earnings are more predictive future performance; timelier, accurate, les...