Serial correlation, non-stationarity, and dynamic performance of business failures prediction models
Journal
Managerial Finance
Date Issued
August 1, 2001
Author(s)
DOI
10.1108/03074350110767303
Abstract
This article examines the implications of serial correlation of the financial variables on the dynamic performance and robustness of the business failure prediction models based on the linear discriminant analysis, Logit, and Cumulative Sums (CUSUM)methods. Statistical tests show that most of the financial variables included in business failure prediction models exhibit strong positive serial correlation over time and in many cases a unit root. As a result, the predictive ability of these types of models deteriorates over time. © Emerald Group Publishing Limited.
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