Predicting Financial Distress Based on the Credit Cycle Index: A Two-Stage Empirical Analysis
AbstractPredictive 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.
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Bibliographic InfoArticle provided by M.E. Sharpe, Inc. in its journal Emerging Markets Finance and Trade.
Volume (Year): 46 (2010)
Issue (Month): 3 (May)
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Web page: http://mesharpe.metapress.com/link.asp?target=journal&id=111024
credit risk; emerging market; logit model; Type I error;
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