Many physical and social phenomena are embedded within networks of interdependencies, the so-called ‘context’ of these phenomena. In network analysis, this type of process is typically modeled as a network autocorrelation model. Parameter estimates and inferences based on autocorrelation models, hinge upon the chosen specification of weight matrix W, the elements of which represent the influenc...

Purpose More studies have investigated the relation between option measures and stock returns during scheduled corporate events. This study adds to literature investigates informational role of options concerning following unscheduled news The authors focus on individual analysts' recommendation changes rather than consensus revisions, as might discard a large amount potentially valuable inform...

Karen Jones, MApStat, senior data analyst, Workforce Studies, Association of American Medical Colleges Community Health Workers: An Underused Resource, Rediscovered Monica Whatley, MS, data marketing analyst, Southern Poverty Law Center; Clese Erikson, MPAff, deputy director, Health Workforce Research Center, The George Washington University; Shana Sandberg, PhD, research scientist, National Co...

This study examines whether analyst coverage affects the informativeness of income smoothing. I find that income smoothing enhances earnings informativeness more greatly for firms with high analyst coverage than for firms with low analyst coverage. The results suggest that income smoothing more efficiently communicates private information to investors when firms are followed by more analysts, c...