Artikel

Measuring credit risk in family firms

This article attempts to identify the default risk measure which best reflects the idiosyncratic context of public family firms. Seven accounting- and market-based measures are compared over a sample of 981 US family and non-family firms for the period 2000-2016. The results show that the Black-Scholes-Merton (BSM) measure gives the best fit in both types of firm. However, all the accounting-based measures, especially Altman's Z-score, come closest to the market-based measures when used to assess the credit risk of family firms. The two types of measures also coincide more closely in their default risk orderings of family than of non-family firms. Useful practical implications can be drawn from these findings, which show that accounting-based measures can be used reliably in the absence of market data for family firms with similar characteristics to those in our sample.

Sprache
Englisch

Erschienen in
Journal: BRQ Business Research Quarterly ; ISSN: 2340-9436 ; Volume: 25 ; Year: 2022 ; Issue: 3 ; Pages: 265-282 ; London: Sage Publishing

Klassifikation
Management
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Bankruptcy; Liquidation
Contingent Pricing; Futures Pricing; option pricing
Model Evaluation, Validation, and Selection
Business Economics
Accounting
Thema
Black-Scholes-Merton measure
default risk ranking of firms
family firms
Goodness of fit of credit risk

Ereignis
Geistige Schöpfung
(wer)
Abinzano, Isabel
Corredor, Pilar
Martinez, Beatriz
Ereignis
Veröffentlichung
(wer)
Sage Publishing
(wo)
London
(wann)
2022

DOI
doi:10.1177/2340944420941857
Handle
Letzte Aktualisierung
10.03.2025, 11:42 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

  • Artikel

Beteiligte

  • Abinzano, Isabel
  • Corredor, Pilar
  • Martinez, Beatriz
  • Sage Publishing

Entstanden

  • 2022

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