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dc.contributor.authorChan, Chia-Yingen_US
dc.contributor.authorChou, De-Waien_US
dc.contributor.authorLin, Jane-Raungen_US
dc.contributor.authorLiu, Feng-Yingen_US
dc.date.accessioned2016-03-28T00:04:28Z-
dc.date.available2016-03-28T00:04:28Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn1062-9408en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.najef.2015.10.008en_US
dc.identifier.urihttp://hdl.handle.net/11536/129738-
dc.description.abstractThis paper contributes to the literature by documenting the improved performance of bankruptcy prediction models after including corporate governance variables. The empirical results demonstrate better predictive power for financial bankruptcy than previous bankruptcy prediction models, particularly in the post SOX period. Our theoretical argument emphasizes the urgent need for such improvements to the bankruptcy prediction model following the introduction of the SOX Act, with the empirical results providing intuitive economic meaning for all relevant market participants. Policymakers may consider enacting laws to include designs for corporate governance monitoring mechanisms, entrepreneurs may use this model to improve their own governance structures and compensation mechanisms to avoid financial bankruptcy, and investors may refer to it to ensure that \'losers\' are excluded from their investment portfolios. (C) 2015 Elsevier Inc. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectBankruptcy prediction modelen_US
dc.subjectSarbanes-Oxley Acten_US
dc.subjectCorporate governanceen_US
dc.titleThe role of corporate governance in forecasting bankruptcy: Pre- and post-SOX enactmenten_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.najef.2015.10.008en_US
dc.identifier.journalNORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCEen_US
dc.citation.volume35en_US
dc.citation.spage166en_US
dc.citation.epage188en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000368750200011en_US
dc.citation.woscount1en_US
Appears in Collections:Articles