Logo
Munich Personal RePEc Archive

Optimization of the Credit Portfolio and Methodology for Evaluating a Public Support Policy: The Case of the Support Fund for Large Ivorian Enterprises (FSGE)

DAYORO, DONATIEN (2024): Optimization of the Credit Portfolio and Methodology for Evaluating a Public Support Policy: The Case of the Support Fund for Large Ivorian Enterprises (FSGE). Published in: Optimization of the Credit Portfolio and Methodology for Evaluating a Public Support Policy: The Case of the Support Fund for Large Ivorian Enterprises (FSGE) , Vol. 39, : pp. 2-38.

[thumbnail of MPRA_paper_122408.docx] PDF
MPRA_paper_122408.docx

Download (520kB)
[thumbnail of MPRA_paper_122408.pdf]
Preview
PDF
MPRA_paper_122408.pdf

Download (913kB) | Preview

Abstract

The article employs a logistic regression model to predict defaults and optimize credit portfolios for enterprises receiving support, showcasing a rigorous methodological approach. It relies on empirical data to ensure the relevance of its findings and utilizes the Evidence-Based Policy Making (EBPM) method, incorporating propensity score matching techniques to correct for selection biases, thereby ensuring accurate evaluations. Additionally, the work adheres to international standards set by the INTOSAI Guide 9020, enhancing its academic credibility. Ultimately, the proposed solutions contribute to both financial theory and public management practices, illustrating the author's ability to harmonize theoretical frameworks with practical applications.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.