Results 51 to 60 of about 10,825 (309)
The effects of Corporate Governance, Audit Quality, and Conservatism on Loan Collateral Requirements
In competitive credit markets, borrowers and lenders have equal information on default risks. Under these circumstances, loan collateral are less important in credit decision-making.
Sansaloni Butar Butar
doaj +1 more source
What Best Predicts Corporate Bank Loan Defaults? An Analysis of Three Different Variable Domains
This paper aims to compare the accuracy of financial ratios, tax arrears and annual report submission delays for the prediction of bank loan defaults. To achieve this, 12 variables from these three domains are used, while the study applies a longitudinal
Keijo Kohv, Oliver Lukason
doaj +1 more source
Climate Change Risks and Customer Concentration: Evidence From US‐Listed Firms
ABSTRACT While prior studies have investigated climate risks in supply chains, customer ESG pressures, and shared climate exposure, this paper is, to the best of our knowledge, the first to provide direct empirical evidence on the relationship between climate change risks and firms' customer concentration.
Thi Thuy Trang Nguyen +2 more
wiley +1 more source
The topic of bank default risk in connection with government bailouts has recently attracted a great deal of attention. In this paper, the question of how a bank’s default risk is affected by a distress acquisition is investigated.
Jyh-Jiuan Lin +2 more
doaj +1 more source
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
Economic Disruptions in Repayment of Peer Loans
Economic disruptions can alter the likelihood of defaults on peer-to-peer loans, causing those impacted to adjust. The option to declare economic hardship and temporarily reduce the payment burden can provide some relief. When this occurs, the borrower’s
David Maloney, Sung-Chul Hong, Barin Nag
doaj +1 more source
Enhancing Loan Default Prediction with Text Mining
Credit scoring is a popular method used by financial institutions to evaluate an applicants’ risk of default. However, in certain circumstances, an individual’s credit score is not an accurate indicator of their risk of default as it may be based on outdated information from a single point in time, or individuals may have no prior credit history from ...
Barry Egan, Kyle Goslin
openaire +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
Loan Default Prediction Using Machine Learning Algorithms
Financial institutions constantly face at the risk of default by borrowers which can result in significant financial losses. It is essential to develop an appropriate predictive model for loan default to reduce these risks and minimise financial losses ...
Zhi Zheng Kang +3 more
doaj +3 more sources
EFFECT OF CREDIT APPRAISAL ON LOAN DEFAULT IN AGRICULTURAL FINANCE CORPORATION
: The Agricultural Finance Corporation (AFC) has experienced loan defaults totaling Kes.10 billion in the last five years, from 2015 to 2020, against a portfolio of loans amounting to Kes.17 billion.
Dr. Nerbert Avutswa +1 more
core +1 more source

