Identification of financial ratios applicable in the construction of a prediction model for bankruptcy of wood industry enterprises

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dc.contributor.authorAdamowicz, Krzysztof
dc.contributor.authorNoga, Tomasz
dc.contributor.organizationPoznań University of Life Sciences, Faculty of Forestryen
dc.date.accessioned2018-05-11T11:34:37Z
dc.date.available2018-05-11T11:34:37Z
dc.date.issued2018-03-15
dc.description.abstractAt present, many early warning systems (EWS) are available. Most EWSs have been constructed based on data coming from various branches of economy. As a result, the effectiveness of these models in specific sectors of the national economy is frequently insufficient. There are no models dedicated to a specific branch, particularly the wood industry. Based on the Polish homogenous financial data supplied by the wood industry, it was decided to identify respective indexes, which may be used to construct a sector prediction model for bankruptcy in the wood industry. This study presents an analysis of indexes applied in 10 most popular EWSs used in Poland. In the course of the research process, a total of 5 financial ratios (FRs) were selected as best fitting to the investigated branch of economy. These included: profit from sales/balance sheet total, total income/mean annual total assets, operating costs/current liabilities, (operating profit – depreciation)/sales of products and equity capital/total debt.en
dc.identifier.doi10.2478/ffp-2018-0006
dc.identifier.urihttps://open.icm.edu.pl/handle/123456789/15281
dc.language.isoen
dc.publisherCommittee on Forestry Sciences and Wood Technology of the Polish Academy of Sciences and The Forest Research Institute, Sękocin Stary, Polanden
dc.rightsUznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/pl/*
dc.subjectearly warning systemsen
dc.subjectpredictionen
dc.subjectfinancial risksen
dc.subjectbankruptcyen
dc.subjectfinancial ratiosen
dc.titleIdentification of financial ratios applicable in the construction of a prediction model for bankruptcy of wood industry enterprisesen
dc.typearticleen
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