BID blocking peptide

We document that acquirer announcement returns decrease and takeover premiums increase with the length of time since targets' initial public offerings. Declining asymmetric information that leads to lower target valuation uncertainty for the acquirer can explain these effects. Newly public targets have greater information asymmetry (relative to their established counterparts) making their valuation more uncertain for a less-informed acquirer. Risk-averse acquirer managers pay less for riskier targets, resulting in lower takeover premiums and higher acquirer announcement returns. Over time, as the target builds a public track record, the asymmetric information about its valuation declines and takeover premiums increase to the benefit (detriment) of target (acquirer) shareholders. (c) 2020 Elsevier B.V. All rights reserved.

Quality of life (QOL) of a patient is usually computed as the (weighted) sum of items and analysed by means of multiple regressions to evaluate its relationships with various measured factors. The aim of the present study was to compare results derived under classical statistical method with those obtained under more appropriate statistical techniques for QOL. Analyses were applied to data from 4155 subjects participated in 2012 in a community based sample study in the French speaking part of Belgium and which completed a web-based questionnaire on their weight-related experience. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were carried out to derive QOL and to test direct/indirect effects of body mass index (BMI), age, body image discrepancy (BID), latent socio-economic (SOCIO) and latent subjective-norm (SN). No major differences were found under both SEM and the product of coefficients approach using SAS PROCESS macro developed by Hayes. Significant direct and indirect effects on physical and psychological dimensions of QOL were found for age, BMI and SOCIO while significant direct effects were found for BID and SN (p < 0.0001). Factor loadings were found to be significantly different according to gender (p < 0.0001). BID and SN are partially mediators on the relationships between BMI and QOL. The study also confirms the role of SOCIO on the (un)observable variables included in the model. However, the large sample size provided significant tests with small effect size and couldn't highlight pertinent differences between both methods.