Public credit guarantee schemes are set up with the purpose of facilitating access to credit by Small and Medium-sized Enterprises (SMEs). The aim of the paper is to study the effectiveness and impacts of the Italian Central Guarantee Fund (CGF)’s activity, one of the main public guarantee schemes in Europe. This is even more important in the light of the 2018 CGF reform. Analyzing a sample which includes all the guarantees issued by the CGF from 2012 to 2018 on loans made to manufacturing companies, we find that the CGF methodology is partially able to capture the variables affecting the probability of default of SMEs. The CGF scores before the reform show poor capability to forecast risk in the medium term, above all for micro and small enterprises. The post-reform model shows better forecasting ability and a greater consistency with the Z’’-score, one of the most recognized model in the distress prediction literature. The new CGF model may indirectly control the behaviour of lenders and first-level guarantors. In particular, our findings show that the probability of default on exposures covered by a mutual guarantee institution and counter-guaranteed by the CGF is lower than the probability of default of loans granted by a bank and directly guaranteed by the CGF. As a consequence, the direct guarantees need to be more monitored by the CGF and potential effects on the bank behaviour may derive, strengthening ECB’s supervision activities.

Public Credit Guarantee Schemes in supporting SMEs: an evaluation of effectiveness and impacts / Ielasi, Federica; Gai, Lorenzo; Arcuri, MARIA CRISTINA. - In: INTERNATIONAL JOURNAL OF BUSINESS AND MANAGEMENT. - ISSN 1833-3850. - 15:(2019), pp. 174-189. [10.5539/ijbm.v15n1p174]

Public Credit Guarantee Schemes in supporting SMEs: an evaluation of effectiveness and impacts

Federica Ielasi;Lorenzo Gai;Maria Cristina Arcuri
2019-01-01

Abstract

Public credit guarantee schemes are set up with the purpose of facilitating access to credit by Small and Medium-sized Enterprises (SMEs). The aim of the paper is to study the effectiveness and impacts of the Italian Central Guarantee Fund (CGF)’s activity, one of the main public guarantee schemes in Europe. This is even more important in the light of the 2018 CGF reform. Analyzing a sample which includes all the guarantees issued by the CGF from 2012 to 2018 on loans made to manufacturing companies, we find that the CGF methodology is partially able to capture the variables affecting the probability of default of SMEs. The CGF scores before the reform show poor capability to forecast risk in the medium term, above all for micro and small enterprises. The post-reform model shows better forecasting ability and a greater consistency with the Z’’-score, one of the most recognized model in the distress prediction literature. The new CGF model may indirectly control the behaviour of lenders and first-level guarantors. In particular, our findings show that the probability of default on exposures covered by a mutual guarantee institution and counter-guaranteed by the CGF is lower than the probability of default of loans granted by a bank and directly guaranteed by the CGF. As a consequence, the direct guarantees need to be more monitored by the CGF and potential effects on the bank behaviour may derive, strengthening ECB’s supervision activities.
2019
Public Credit Guarantee Schemes in supporting SMEs: an evaluation of effectiveness and impacts / Ielasi, Federica; Gai, Lorenzo; Arcuri, MARIA CRISTINA. - In: INTERNATIONAL JOURNAL OF BUSINESS AND MANAGEMENT. - ISSN 1833-3850. - 15:(2019), pp. 174-189. [10.5539/ijbm.v15n1p174]
File in questo prodotto:
File Dimensione Formato  
Public Credit Guarantee Schemes in Supporting SMEs.pdf

accesso aperto

Tipologia: Versione (PDF) editoriale
Licenza: Creative commons
Dimensione 309.74 kB
Formato Adobe PDF
309.74 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2918642
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact