Results 191 to 200 of about 18,502 (306)

Catatonia in ICD-11. [PDF]

open access: yesBMC Psychiatry
Rogers JP, Wilson JE, Oldham MA.
europepmc   +1 more source

Material ESG Performance and Bid Premium in Merger and Acquisition Deals

open access: yesInternational Journal of Finance &Economics, EarlyView.
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

Inconsistency of the Capital Asset Pricing Model in a Multi‐Currency Environment

open access: yesInternational Journal of Finance &Economics, EarlyView.
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

How Does Vulnerability Framing by Microfinance Institutions Leverage Funding Success in Crowdfunding?

open access: yesInternational Journal of Finance &Economics, EarlyView.
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

Estimating Treatment Effects With Limited Exogeneity: A Machine Learning Approach to Selection Bias

open access: yesInternational Studies of Economics, EarlyView.
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

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