Estimating financial distress with a dynamic model: Evidence from family owned enterprises in a small open economy

Konstantinos Konstantaras and Costas Siriopoulos ()

Journal of Multinational Financial Management, 2011, vol. 21, issue 4, 239-255

Abstract: Employing earnings shortfall as a financial distress indicator, we formulate a dynamic nonlinear model, implementing Wooldridge's conditional maximum likelihood estimator and accounting for potentially endogenous covariates. Likewise, we not only achieve a significant improvement in consistency and classification accuracy over static approaches, but we also manage to understand better the evolution of the financial distress process. In our sample of Greek listed firms the higher the positive performance and the lower the leverage at the initial period the greater the chance that a company enters financial distress further down the road, possibly due to manager-owner overconfidence and debt-imposed discipline by company's creditors.

Keywords: Financial; distress; Dynamic; nonlinear; Distress; evolution; Forecasting (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1042444X11000223
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:mulfin:v:21:y:2011:i:4:p:239-255

Access Statistics for this article

Journal of Multinational Financial Management is currently edited by I. Mathur and G. G. Booth

More articles in Journal of Multinational Financial Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().