Arbeitspapier

Taking the twists into account: Predicting firm bankruptcy risk with splines of financial ratios

We demonstrate improvements in predictive power when introducing spline functions to take account of highly non-linear relationships between firm failure and earnings, leverage, and liquidity in a logistic bankruptcy model. Our results show that modeling excessive non-linearities yields substantially improved bankruptcy predictions, on the order of 70 to 90 percent, compared with a standard logistic model. The spline model provides several important and surprising insights into non-monotonic bankruptcy relationships. We find that low-leveraged and highly profitable firms are riskier than given by a standard model. These features are remarkably stable over time, suggesting that they are of a structural nature.

Sprache
Englisch

Erschienen in
Series: Sveriges Riksbank Working Paper Series ; No. 256

Klassifikation
Wirtschaft
Duration Analysis; Optimal Timing Strategies
Banks; Depository Institutions; Micro Finance Institutions; Mortgages
Bankruptcy; Liquidation
Corporate Finance and Governance: Government Policy and Regulation
Thema
bankruptcy risk model
micro-data
logistic spline regression
financial ratios
Prognoseverfahren
Insolvenz
Betriebliche Kennzahl
Nichtlineares Verfahren
Schweden

Ereignis
Geistige Schöpfung
(wer)
Giordani, Paolo
Jacobson, Tor
von Schedvin, Erik
Villani, Mattias
Ereignis
Veröffentlichung
(wer)
Sveriges Riksbank
(wo)
Stockholm
(wann)
2011

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Giordani, Paolo
  • Jacobson, Tor
  • von Schedvin, Erik
  • Villani, Mattias
  • Sveriges Riksbank

Entstanden

  • 2011

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