University of Wisconsin–Eau Claire

About: University of Wisconsin–Eau Claire is a education organization based out in Eau Claire, Wisconsin, United States. It is known for research contribution in the topics: Poison control & Population. The organization has 1780 authors who have published 2690 publications receiving 93094 citations. The organization is also known as: UW-Eau Claire & University of Wisconsin-Eau Claire.

Credit default swap spreads and annual report readability

Abstract: This paper investigates whether annual report readability matters to CDS market participants and how it affects their evaluation on a firm’s credit risk, as measured by CDS spreads. We find that the less readable the annual reports, the higher the CDS spreads. Furthermore, the impact of readability on CDS spreads is more concentrated on firms with high information asymmetry and with investment grade ratings. Our results suggest that investors take into account the readability in their view of the firms’ credit risk. Creditors appear to suffer higher cost on CDS protection of the debts if the underlying firms have less readable annual reports.

A scale to measure residents perceptions of destination social responsibility

Abstract: Notwithstanding the importance of social responsibility initiatives at the level of the firm, there is limited, but growing, research focused on destination social responsibility (DSR). DSR is a mu...

Factors associated with emotional distress and suicide ideation among international college students.

Abstract: Objective: To identify risk and protective factors associated with greater emotional distress and suicide ideation among international college students. Participants: International students (n = 43...

Performance Measures for Selection of Metamodels to be Used in Simulation Optimization

Abstract: This paper points out the need for performance measures in the context of simulation optimization and suggests six such measures. Two of the measures are indications of absolute performance, whereas the other four are useful in assessing the relative performance of various candidate metamodels. The measures assess performance on three fronts: accuracy of placing optima in the correct location, fit to the response, and fit to the character of the surface (expressed in terms of the number of optima). Examples are given providing evidence of the measures' utility—one in a limited scenario deciding which of two competing metamodels to use as simulation optimization response surfaces vary, and the other in a scenario of a researcher developing a new, sequential optimization search procedure.