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Predicting SME’s default: Are their websites informative?

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  • Crosato, Lisa
  • Domenech, Josep
  • Liberati, Caterina

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.

Suggested Citation

  • Crosato, Lisa & Domenech, Josep & Liberati, Caterina, 2021. "Predicting SME’s default: Are their websites informative?," Economics Letters, Elsevier, vol. 204(C).
    • Handle: RePEc:eee:ecolet:v:204:y:2021:i:c:s0165176521001658
    DOI: 10.1016/j.econlet.2021.109888
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    References listed on IDEAS

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    1. Giuseppe Arcuri & Nadine Levratto, 2020. "Early stage SME bankruptcy: does the local banking market matter?," Small Business Economics, Springer, vol. 54(2), pages 421-436, February.
    2. Andreeva, Galina & Calabrese, Raffaella & Osmetti, Silvia Angela, 2016. "A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models," European Journal of Operational Research, Elsevier, vol. 249(2), pages 506-516.
    3. Michael Fritsch & Antje Weyh, 2006. "How Large are the Direct Employment Effects of New Businesses? An Empirical Investigation for West Germany," Small Business Economics, Springer, vol. 27(2), pages 245-260, October.
    4. Alexeev, Michael & Kim, Jounghyeon, 2012. "Bankruptcy and institutions," Economics Letters, Elsevier, vol. 117(3), pages 676-678.
    5. Loredana Cultrera, 2020. "Evaluation of bankruptcy prevention tools : evidences from COSME programme," Economics Bulletin, AccessEcon, vol. 40(2), pages 978-988.
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