Abstract We study the mispricing information present in target prices of US and international analysts. hypothesize that asymmetry value-relevance managers supply to analysts, combined with incentives facing analysts curry favor managers, leads analyst-claimed undervaluation being more predictive future stock returns than overvaluation. Our empirical tests isolate by first removing analysts’ es...

Network analysts try to explain the structure of complex networks by the partitioning of their nodes into groups. These groups are either required to be dense (clustering) or to contain vertices of equivalent positions (blockmodeling). However, there is a variety of definitions and quality measures to achieve the groupings. In surveys, only few mathematical connections between the various defin...

We describe Slate, a logic-based, robust interactive reasoning system that allows human “pilots” to harness an ensemble of intelligent agents in order to construct, test, and express various sorts of natural argumentation. Slate empowers students and professionals in the business of producing argumentation, e.g., mathematicians, logicians, intelligence analysts, designers and producers of stand...

This article examines different types of comparative research designs as applied to either prostitution or sex trafficking. I first present several comparative approaches that are found to be deeply flawed either because of the problematic assumptions of the analysts or because the data provided are insufficient to support the conclusions drawn. I then review research designs that compare two t...

In this paper we ask whether the US government should replace its current discounting practices with a declining discount rate schedule, as the UK and France have done, or should continue to discount the future at a constant exponential rate. To address the question, we briefly present the theoretical basis for a declining discount rate (DDR) schedule, but focus on how, in practice, a DDR could...

Researchers in artiicial intelligence and decision analysis share a concern with the construction of formal models of human knowledge and expertise. Historically, however, their approaches to these problems have diverged. Members of these two communities have recently discovered common ground: a family of graphical models of decision theory known as innuence diagrams or as belief networks. Thes...

We examine whether it is worthwhile eliciting subjective judgements to account for dependency in a multivariate Poisson-Gamma probability model. The challenge of estimating reliability during product design motivated the choice model class. For we adopt an empirical Bayes methodology present estimator with improved accuracy. A simulation study investigates estimation error this different degree...

This paper investigates the need for complementing automated verification of business process models with a validity analysis performed by human analysts. As business processes become increasingly automated through process aware information systems, the quality of process design becomes crucial. Although verification of process models has gained much attention, their validation, relating to the...

Previous research finds some evidence that analysts affiliated with equity underwriters issue more optimistic earnings growth forecasts and optimistic recommendations of client stock than unaffiliated analysts. Unfortunately, these studies are unable to discriminate between three competing hypotheses for the apparent optimism. Under the bribery hypothesis, underwriting clients, with the promise...