Predicting Corporate Bankruptcy Using the Framework of Leland-Toft: Evidence From U.S.
Quantitative Finance, Forthcoming
53 Pages Posted: 4 Feb 2019 Last revised: 17 Jul 2019
Date Written: June 15, 2019
In this paper, we evaluate an alternative approach for bankruptcy prediction that measures the financial healthiness of firms that have coupon-paying debts. The approach is based on the framework of Leland and Toft (1996), which is an extension of a widely-used model; the Black-Scholes-Merton model. Using U.S. public firms between 1995 and 2014, we show that the Leland-Toft approach is more powerful than Black-Scholes-Merton in a variety of tests. Moreover, extending popular but also contemporary corporate bankruptcy models with the probability of bankruptcy derived from the Leland-Toft model, such as Altman (1968), Ohlson (1980) and Campbell et al. (2008), yields models with improved performance. One of our tests, for example, shows that banks using these extended models, achieve superior economic performance relative to other banks. Our results are consistent under a comprehensive out-of-sample framework.
Keywords: Corporate Bankruptcy, Leland and Toft, Predictive Ability, Bank Performance
JEL Classification: C51, C52, G13, G33
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