Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/14530
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Theodossiou, Panayiotis | - |
dc.contributor.other | Θεοδοσίου, Παναγιώτης | - |
dc.date.accessioned | 2019-07-12T11:58:13Z | - |
dc.date.available | 2019-07-12T11:58:13Z | - |
dc.date.issued | 1993-06 | - |
dc.identifier.citation | Journal of the American Statistical Association, 1993, vol. 88, no. 422, pp. 441-449 | en_US |
dc.identifier.issn | 01621459 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/14530 | - |
dc.description.abstract | A firm in the early stages of financial distress exhibits characteristics different from those of healthy firms. As the economic condition of a firm worsens, its financial characteristics shift toward those of failed firms. Practitioners in the financial sector have long been interested in the early detection of a firm’s slide toward insolvency. Several models have been developed with this purpose in mind, but these older models are static in nature. Therefore, a need exists for the development of business failure prediction models that assess the financial condition of firms sequentially over time. This article addresses this need by presenting a sequential business failure prediction model. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Journal of the American Statistical Association | en_US |
dc.rights | © Taylor & Francis | en_US |
dc.subject | Bankruptcy prediction | en_US |
dc.subject | Business failure prediction models | en_US |
dc.subject | Discriminant analysis | en_US |
dc.subject | Multivariate cumulative sum procedure | en_US |
dc.subject | Serial correlation | en_US |
dc.subject | Sequential procedure | en_US |
dc.title | Predicting shifts in the mean of a multivariate time series process: An application in predicting business failures | en_US |
dc.type | Article | en_US |
dc.collaboration | Rutgers University-Camden campus | en_US |
dc.subject.category | Economics and Business | en_US |
dc.journals | Hybrid Open Access | en_US |
dc.country | United States | en_US |
dc.subject.field | Social Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1080/01621459.1993.10476294 | en_US |
dc.relation.issue | 422 | en_US |
dc.relation.volume | 88 | en_US |
cut.common.academicyear | 1995-1996 | en_US |
dc.identifier.spage | 441 | en_US |
dc.identifier.epage | 449 | en_US |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairetype | article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
crisitem.journal.journalissn | 1537-274X | - |
crisitem.journal.publisher | Taylor & Francis | - |
crisitem.author.dept | Department of Finance, Accounting and Management Science | - |
crisitem.author.faculty | Faculty of Management and Economics | - |
crisitem.author.orcid | 0000-0001-5556-2594 | - |
crisitem.author.parentorg | Faculty of Management and Economics | - |
Appears in Collections: | Άρθρα/Articles |
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