Regulating Borrower Hardship in Australia, Singapore, and Hong Kong: Payment Holidays During COVID-19 and Beyond. [PDF]
Leong E.
europepmc +1 more source
Online Financial Inclusion and Its Implications for Borrowers: Evidence From Peer-to-Peer Lending
Nourhan Eid, Junhong Yang
openalex +1 more source
ESG Assurance and Dividends: Evidence From 18 Countries in Africa
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
ABSTRACT Considering the growing attention to sustainability and the increasing regulatory pressure in the European landscape, this study evaluates whether greenhouse gas emissions affect firms' cost of debt. A panel regression was conducted from 2021 to 2024 on two samples of European firms.
Daniela Cicchini +3 more
wiley +1 more source
Spatial-temporal distribution of debt and delinquency of the elderly in Thailand: Perspectives from the National Credit Bureau data. [PDF]
Tontisirin N +2 more
europepmc +1 more source
Growing debt burden in low- and middle-income countries during COVID-19 may constrain health financing. [PDF]
Federspiel F +2 more
europepmc +1 more source
Non-Ricardian Borrowers and Mortgage Type: Implications for Monetary Policy Leaning against the Wind [PDF]
Marcin Pietrzak
openalex +1 more source
Pulmonalis or Pulmonaris? It's Elementarius, My Dear Watson
ABSTRACT The adjectival suffix ‐alis and its allomorph ‐aris are very common in the anatomical nomenclature; however, rules governing differential usage, such as ‐aris substituting for ‐alis following an ‐l‐, leave many exceptions. Here, we report an empirical study of 985 adjectives with ‐alis and ‐aris suffixes used in Terminologia Anatomica (2nd ed.)
Paul E. Neumann +3 more
wiley +1 more source
User perceptions of RBI-approved P2P digital lending apps: an NLP, machine learning, and deep learning approach. [PDF]
Sekhar KR, Saheb SS.
europepmc +1 more source

