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Assessment of Effects of Predictors on the Corporate Bankruptcy Using Hierarchical Bayesian Dynamic Model  

Sung Min-Je (School of Business Administration, Ajou University)
Cho Sung-Bin (School of Business, Sogang University)
Publication Information
Management Science and Financial Engineering / v.12, no.1, 2006 , pp. 65-77 More about this Journal
Abstract
This study proposes a Bayesian dynamic model in a hierarchical way to assess the time-varying effect of risk factors on the likelihood of corporate bankruptcy. For the longitudinal data, we aim to describe dynamically evolving effects of covariates more articulately compared to the Generalized Estimating Equation approach. In the analysis, it is shown that the proposed model outperforms in terms of sensitivity and specificity. Besides, the usefulness of this study can be found from the flexibility in describing the dependence structure among time specific parameters and suitability for assessing the time effect of risk factors.
Keywords
Hierarchical Model; Bayesian Dynamic Model; Bankruptcy Data;
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