Results 141 to 150 of about 32,796 (305)
Abstract Character education research is often constrained by blunt methodological tools. Surveys capture breadth without depth; case studies offer richness but lack replicability; and randomised controlled trials (RCTs), though indispensable at the policy level, are costly, disruptive and ill‐suited to everyday practice with individual pupils.
Shane McLoughlin
wiley +1 more source
Scoring Drop-Out at a Microlender in Bolivia [PDF]
This paper presents a scoring model that predicts the risk of drop-out for borrowers at a microfinance lender in Bolivia. Drop-out risk was greater for women, manufacturers, newer borrowers, and those with more arrears.
Mark Schreiner
core
ABSTRACT Firms' continuous pursuit of making a profit in the competitive market may ignore the actions related to environmental responsibilities. This set of actions for financial gains constitutes environmental misconduct, which not only harms ecosystems and communities but also brings reputational damage. Negative press and social media amplification
Ashutosh Singh +3 more
wiley +1 more source
8 Credit Scoring for Corporate Debt
The term credit scoring refers to quantitative methods for evaluating the credit quality of companies. These methods are generally nonparametric, as opposed to the structured approaches of theoretical models such as Merton (1974) or Jarrow and Turnbull ...
Eric Falkenstein, Credit Risk
core
Alternative credit scoring for the un(der)banked
In this thesis, I address the topic of credit scoring for the un- and underbanked by utilizing machine-learning and, most notably, social graph theory, and test the corresponding models using a unique set of anonymized alternative data from an Egypt ...
Elrakabawy, Sherif
core +1 more source
ABSTRACT This study investigated whether superior environmental, social, and governance (ESG) practices enhance corporate value and market efficiency under various economic theories. Using a multi‐country panel of 31 economies from 2015 to 2022, we find that both ESG performance and disclosure improve intrinsic value and mitigate equity misvaluation ...
Xinyu Wang +5 more
wiley +1 more source
CREDIT SCORING, LOAN PRICING, AND FARM BUSINESS PERFORMANCE
In light of recent developments in agricultural credit evaluations, this study employs a multiperiod simulation model that endogenizes farm investment decisions, credit evaluations, and loan pricing based on the credit scoring procedures of agricultural ...
Barry, Peter J., Ellinger, Paul N.
core
Decision diagrams in machine learning: an empirical study on real-life credit-risk data. [PDF]
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result of which the produced classifiers might become too large to be ...
Files, CM +3 more
core
ABSTRACT This study assesses the degree of alignment with and eligibility to the EU Taxonomy of non‐financial firms and investigates its relationship with their Cost of Debt (CoD). The empirical analysis is based on a sample of 306 non‐financial firms listed on the Stoxx Europe 600 Index across 15 European countries. Taxonomy‐related data were manually
Fabio Rizzato +3 more
wiley +1 more source
Incorporating Digital Footprints into Credit-Scoring Models through Model Averaging
Digital footprints provide crucial insights into individuals’ behaviors and preferences. Their role in credit scoring is becoming increasingly significant.
Linhui Wang +3 more
doaj +1 more source

