Using DEA and financial ratings for credit risk evaluation: an empirical analysis

被引：20

作者：

Iazzolino, Gianpaolo ^{[1
]}

Bruni, Maria Elena ^{[1
]}

Beraldi, Patrizia ^{[1
]}

机构：

[1] Univ Calabria, Dept Mech Energy & Management Engn DIMEG, I-87036 Cosenza, Italy

来源：

APPLIED ECONOMICS LETTERS | 2013年 / 20卷 / 14期

关键词：

credit risk; credit rating; DEA; efficiency; MORE; leather industry; G32; G33; C14; ENVELOPMENT ANALYSIS; EFFICIENCY; BANKRUPTCY; RATIOS;

D O I：

10.1080/13504851.2013.806771

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The article deals with the methodologies for credit risk evaluation. It describes an empirical analysis carried out on a sample of Italian firms belonging to the leather manufacturing and wholesale industry. The study uses the efficiency, calculated through data envelopment analysis (DEA), and the credit rating at the same time. As long as efficiency is calculated by using inputs and outputs strictly linked to the credit reliability of the firm, the study confirms that there is a relationship between efficiency and credit rating, and then that efficiency can be considered as an early warning index for evaluating credit risk.

引用

页码：1310 / 1317

页数：8

共 50 条

[31] The role of non-financial factors in internal credit ratings
Grunert, J
Norden, L
Weber, M
JOURNAL OF BANKING & FINANCE, 2005, 29 (02) : 509 - 531
[32] MEASURING EFFICIENCY USING SELECTED DETERMINANTS. AN EMPIRICAL ANALYSIS BY USING DEA METHODOLOGY
Lacko, Roman
Hurny, Frantisek
Andrejovsky, Pavol
Hajduova, Zuzana
RELIK 2020: REPRODUCTION OF HUMAN CAPITAL - MUTUAL LINKS AND CONNECTIONS, 2020, : 323 - 332
[33] FINANCIAL REGULATION, CREDIT RISK AND FINANCIAL STABILITY
Goodhart, C. A. E.
NATIONAL INSTITUTE ECONOMIC REVIEW, 2005, 192 (01) : 118 - 127
[34] Research and Development Efficiency in Public and Private Sectors: An Empirical Analysis of EU Countries by Using DEA Methodology
Halaskova, Martina
Gavurova, Beata
Kocisova, Kristina
SUSTAINABILITY, 2020, 12 (17)
[35] Credit Risk Evaluation Using SVM-Based Classifier
Danenas, Paulius
Garsva, Gintautas
BUSINESS INFORMATION SYSTEMS WORKSHOPS, 2010, 57 : 7 - 12
[36] The Enlightenment of the Multiple Ratings to the Credit Risk and the Supervision
Qin Huanmei
PROCEEDINGS OF THE ELEVENTH INTERNATIONAL SYMPOSIUM - MANAGEMENT SCIENCES AND ENGINEERING, 2011, : 460 - 463
[37] Application of Discriminate Analysis in Credit Ratings
Li Hui
Lin Changqing
PROCEEDINGS OF THE 5TH CONFERENCE ON CHINA'S ECONOMIC OPERATION RISK MANAGEMENT, 2011, : 77 - 88
[38] Empirical Study of Credit Risk Measurement in Manufacturing Industry: Based on Financial and Market Information
Tang Zhenpeng
Liao Jingjing
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT, 2011, : 1120 - 1129
[39] Predicting corporate credit ratings using the content of ESG reports
Hajek, Petr
Sahut, Jean-Michel
Myskova, Renata
ANNALS OF OPERATIONS RESEARCH, 2024,
[40] Empirical Analysis about Credit Rating of Technology-based SMEs Based on DEA Method
Chen Yi-jun
Jiang Neng
Li Jie
Tang Tian
Chen Ling
PROCEEDINGS OF THE THIRD SYMPOSIUM OF RISK ANALYSIS AND RISK MANAGEMENT IN WESTERN CHINA, 2013, 40 : 79 - 84

← 1 2 3 4 5 →