Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/14509
Title: | Serial correlation, non-stationarity, and dynamic performance of business failures prediction models | Authors: | Theodossiou, Panayiotis Kahya, Eyup Ouandlous, A.S |
metadata.dc.contributor.other: | Θεοδοσίου, Παναγιώτης | Major Field of Science: | Social Sciences | Field Category: | Economics and Business | Keywords: | Accounting research;Predictive validity USA;Modelling;Company failures | Issue Date: | 1-Aug-2001 | Source: | Managerial Finance, 2001, vol. 27 no. 8, pp. 1-15 | Volume: | 27 | Issue: | 8 | Start page: | 1 | End page: | 15 | Journal: | Managerial Finance | 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. SciVal Topic Prominence | URI: | https://hdl.handle.net/20.500.14279/14509 | ISSN: | 03074358 | DOI: | 10.1108/03074350110767303 | Rights: | © Emerald | Type: | Article | Affiliation : | Rutgers University-Camden campus Savannah State University |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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