"Birds of a Feather" Fail Together: Exploring the Nature of Dependency in SME Defaults.

Proximity matrix scoring model small business spatial probit model

Journal

Risk analysis : an official publication of the Society for Risk Analysis
ISSN: 1539-6924
Titre abrégé: Risk Anal
Pays: United States
ID NLM: 8109978

Informations de publication

Date de publication:
01 2019
Historique:
pubmed: 12 8 2017
medline: 12 8 2017
entrez: 12 8 2017
Statut: ppublish

Résumé

This article studies the effects of incorporating the interdependence among London small business defaults into a risk analysis framework using the data just before the financial crisis. We propose an extension from standard scoring models to take into account the spatial dimensions and the demographic characteristics of small and medium-sized enterprises (SMEs), such as legal form, industry sector, and number of employees. We estimate spatial probit models using different distance matrices based only on the spatial location or on an interaction between spatial locations and demographic characteristics. We find that the interdependence or contagion component defined on spatial and demographic characteristics is significant and that it improves the ability to predict defaults of non-start-ups in London. Furthermore, including contagion effects among SMEs alters the parameter estimates of risk determinants. The approach can be extended to other risk analysis applications where spatial risk may incorporate correlation based on other aspects.

Identifiants

pubmed: 28799646
doi: 10.1111/risa.12862
doi:

Types de publication

Journal Article

Langues

eng

Pagination

71-84

Informations de copyright

© 2017 Society for Risk Analysis.

Auteurs

Raffaella Calabrese (R)

University of Edinburgh Business School, Edinburgh, UK.

Galina Andreeva (G)

University of Edinburgh Business School, Edinburgh, UK.

Jake Ansell (J)

University of Edinburgh Business School, Edinburgh, UK.
Thammasat Business School, Khlong Nung, Khlong Luang District, Pathum Thani, Thailand.

Classifications MeSH