We propose the use of online indicators, scraped from the firms’ websites, to predict default risk for a sample of Spanish firms via nonlinear discriminant analysis and the logistic regression model.

Crosato, L., Domenech, J., Liberati, C. (2021). Predicting SME’s default: Are their websites informative?. ECONOMICS LETTERS, 204(July 2021) [10.1016/j.econlet.2021.109888].

Predicting SME’s default: Are their websites informative?

Liberati, Caterina
2021

Abstract

We propose the use of online indicators, scraped from the firms’ websites, to predict default risk for a sample of Spanish firms via nonlinear discriminant analysis and the logistic regression model.
Articolo in rivista - Articolo scientifico
Corporate websites; Default risk; Nonlinear discriminant; SMEs; Web scraping;
English
30-apr-2021
2021
204
July 2021
109888
open
Crosato, L., Domenech, J., Liberati, C. (2021). Predicting SME’s default: Are their websites informative?. ECONOMICS LETTERS, 204(July 2021) [10.1016/j.econlet.2021.109888].
File in questo prodotto:
File Dimensione Formato  
Crosato-2021-Economics Letters-VoR.pdf

accesso aperto

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Licenza: Creative Commons
Dimensione 336.99 kB
Formato Adobe PDF
336.99 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/10281/314579
Citazioni
  • Scopus 11
  • ???jsp.display-item.citation.isi??? 10
Social impact