Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test
نویسندگان
چکیده
In recent years hazard models, using both market and accounting information, have become state of the art in predicting firm bankruptcies. However, a comprehensive test comparing their performance against the traditional accounting-based approach or the contingent claims approach is missing in the literature. Using a complete database of UK Main listed firms between 1979 and 2009, our Receiver Operating Characteristics (ROC) curve analysis shows that the hazard models are superior to the alternatives. Further, our information content tests demonstrate that the hazard models subsume all bankruptcy related information in the Taffler (1983) z-score model as well as in Bharath and Shumway (2008) contingent claims-based model. Finally, using a mixed regime competitive loan market with different costs of misclassification, the economic benefit of using the Shumway (2001) hazard model is clear, particularly when the performance is judged with return on risk weighted assets computed under Basel III. 2014 Published by Elsevier B.V.
منابع مشابه
A Comparison of the Information Content of Accounting and Market Measures in Distress Prediction
The literature presents a clear divide between the so called market and accounting based approaches to bankruptcy prediction. With this in mind, this paper employs the discrete time hazard model framework of Shumway (2001) to test the information content of both market and accounting based models using Australian data. We nd that market based models signi cantly outperformed accounting based m...
متن کاملFEASIBILITY OF PSO-ANFIS-PSO AND GA-ANFIS-GA MODELS IN PREDICTION OF PEAK GROUND ACCELERATION
In the present study, two new hybrid approaches are proposed for predicting peak ground acceleration (PGA) parameter. The proposed approaches are based on the combinations of Adaptive Neuro-Fuzzy System (ANFIS) with Genetic Algorithm (GA), and with Particle Swarm Optimization (PSO). In these approaches, the PSO and GA algorithms are employed to enhance the accuracy of ANFIS model. To develop hy...
متن کاملPrediction of Mean Overtopping Discharge at Vertical Seawalls Using MLR and GLM Statistical Approaches
Wave overtopping at breakwaters is one of their essential hydraulic characteristics when determining the design crest level. This study concentrates on developing a new practical formula on predicting wave overtopping, by implementing two different statistical models, Multiple Linear Regression model (MLR) and Generalized Linear Regression model (GLM). The models consider dependency of overtopp...
متن کاملBankruptcy Prediction with Industry Effects
This paper investigates the forecasting accuracy of bankruptcy hazard rate models for U.S. companies over the time period 1962–1999 using both yearly and monthly observation intervals. The contribution of this paper is multiple-fold. One, using an expanded bankruptcy database we validate the superior forecasting performance of Shumway’s (2001) model as opposed to Altman (1968) and Zmijewski (19...
متن کاملUsing a Bayesian Model for Bankruptcy Prediction: A Comparative Approach
The purpose of this study is to examine the impact of the choice of cut-off points, sampling procedures, and the business cycle on the accuracy of bankruptcy prediction models. Misclassification can result in erroneous predictions leading to prohibitive costs to firms, investors and the economy. To test the impact of the choice of cut-off points and sampling procedures, three bankruptcy predict...
متن کامل