Results 161 to 170 of about 32,796 (305)
Formation of borrower’s bank credit scoring integrated model
Проблеми теорії та методології бухгалтерського обліку, контролю і аналізу, 2017 The article proposes the borrower’s bank credit scoring model that is of particular relevance in an unstable world and Ukrainian financial markets.
O.V. Lysenok
doaj
Hybrid Harmony Search-Artificial Intelligence Models in Credit Scoring. [PDF]
Entropy (Basel), 2020 Goh RY, Lee LS, Seow HV, Gopal K.
europepmc +1 more source
The winner's curse in banking [PDF]
Theoretical studies have noted that loan applications rejected by one bank can apply at another bank, systematically worsening the pool of applicants faced by all banks.
Sherril Shaffer
core
ESG Performance, Debt Financing, and R&D Output: Evidence From the Healthcare Sector
Business Strategy and the Environment, EarlyView.ABSTRACT Amid growing calls for sustainability in the healthcare sector, this study examines how and under what conditions environmental, social, and governance (ESG) performance influences research and development (R&D) output. Although existing studies suggest that ESG performance enhances R&D output, the financial mechanisms that enable or constrain
Sarmad Ali +2 more
wiley +1 more source
ESG Assurance and Dividends: Evidence From 18 Countries in Africa
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines the impact of environmental, social and governance (ESG) assurance on a firm's dividend payout policies within the unique African context. Using a staggered difference‐in‐differences (DiD) model, this study examines how voluntary third‐party assurance of ESG reports influences firms' dividend payout policies compared to ...
Samuel Karanja Kogi, June Cao
wiley +1 more source
Optimizing hyper-parameters of neural networks with swarm intelligence: A novel framework for credit scoring. [PDF]
PLoS One, 2020 Zhang R, Qiu Z.
europepmc +1 more source
Does Non-linearity Matter in Retail Credit Risk Modeling? [PDF]
In this research we propose a new method for retail credit risk modeling. In order to capture possible non-linear relationships between credit risk and explanatory variables, we use a learning vector quantization (LVQ) neural network.
Vita Jagric +2 more
core
Business Strategy and the Environment, EarlyView.ABSTRACT As firms increasingly incorporate environmental, social, and governance (ESG) concerns into their strategic agendas, stakeholder legitimacy—an audience‐conferred judgment of organizational appropriateness—has become pivotal. We theorize legitimacy as expanding a hybrid response portfolio in which firms may pursue substantive change (business ...
Min‐Jae Lee +3 more
wiley +1 more source
Operations research in consumer finance: challenges for operational research
, 2009 Consumer finance has become one of the most important areas of banking both because of the amount of money being lent and the impact of such credit on the global economy and the realisation that the credit crunch of 2008 was partly due to incorrect ...
Thomas, L.C.
core
Business Strategy and the Environment, EarlyView.ABSTRACT The aim of this research is to verify whether institutional quality affects the relationship between green innovation and firm efficiency within the high‐tech manufacturing sectors. To estimate jointly the parameters of a stochastic frontier and the coefficients of a model explaining technical inefficiency, we employed the one‐step estimation ...
Mariarosaria Agostino +2 more
wiley +1 more source