Predicting Financial Distress Based on the Credit Cycle Index: A Two-Stage Empirical Analysis
Bi-Huei Tsai and
Chih-Huei Chang
Emerging Markets Finance and Trade, 2010, vol. 46, issue 3, 67-79
Abstract:
Predictive models of financial distress are developed using the two-stage method applied to listed Taiwanese firms. Firm-specific financial ratios and market factors are adopted to measure the probability of financial distress based on the discrete-time hazard models of Shumway (2001). The Kim (1999) credit cycle index is further established using macroeconomic factors to determine the cutoff indicator of financial distress. The results demonstrate that performance improves as the distressed cutoff indicators are adjusted according to the credit cycle index in the two-stage models, suggesting that the model effectively predicts financial distress, particularly in emerging markets.
Keywords: credit risk; emerging market; logit model; Type I error (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://mesharpe.metapress.com/link.asp?target=contribution&id=W565W5651320K847 (text/html)
Access to full text is restricted to subscribers.
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:mes:emfitr:v:46:y:2010:i:3:p:67-79
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/MREE20
Access Statistics for this article
More articles in Emerging Markets Finance and Trade from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().