Results 191 to 200 of about 18,502 (306)
Material ESG Performance and Bid Premium in Merger and Acquisition Deals
ABSTRACT This study examines the firm‐level and country‐level environmental, social, and governance (ESG) performance on bid premiums in cross‐border mergers and acquisitions (M&A) transactions. We document considerable variations in bid premiums. Higher carbon emissions are associated with higher bid premiums, suggesting that acquirers may perceive ...
Ndubuisi Ezenwa +2 more
wiley +1 more source
Alteration of Functional Connectivity before and after Electroconvulsive Therapy in a Single Patient with Depression and Catatonia. [PDF]
Park YM.
europepmc +1 more source
Inconsistency of the Capital Asset Pricing Model in a Multi‐Currency Environment
ABSTRACT The capital asset pricing model (CAPM) is a widely adopted model in asset pricing theory and portfolio construction because of its intuitive nature. One of its main conclusions is that there exists a global market portfolio that each rational investor should hold in proportion to the risk‐free asset. In this paper, we demonstrate theoretically
Khalifa Al‐Thani +4 more
wiley +1 more source
ABSTRACT This study draws on framing theory to investigate how microfinance institutions (MFIs) strategically construct a vulnerability‐oriented organisational identity and how this framing influences their funding decisions during the pre‐campaign phase of prosocial crowdfunding.
Ana Paula Matias Gama +3 more
wiley +1 more source
A Cross-sectional Conceptual Replication and Longitudinal Evaluation of the PANSS-Autism-Severity-Score Measure Suggests it Does Not Capture Autistic Traits in Individuals With Psychosis. [PDF]
Chisholm K +8 more
europepmc +1 more source
Estimating Treatment Effects With Limited Exogeneity: A Machine Learning Approach to Selection Bias
ABSTRACT This paper presents a novel method for estimating treatment effects in cases where prior knowledge of the exogeneity of the treatment variable is limited. We employ a machine learning technique, double selection via Lasso, to identify a robust set of control variables without requiring prior assumptions about their specific identities or ...
Rui Sun, Shiyi Chen
wiley +1 more source

