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dc.contributor.advisorMoses, O. Douglas
dc.contributor.advisorLiao, Shu S.
dc.contributor.authorJenkins, James D.
dc.dateDecember 1994
dc.date.accessioned2014-08-13T20:26:42Z
dc.date.available2014-08-13T20:26:42Z
dc.date.issued1994-12
dc.identifier.urihttp://hdl.handle.net/10945/42824
dc.description.abstractThis thesis examines the forecasting ability of financial ratio time series models as applied to defense industry firms. Using previously developed descriptive models of financial ratio time series behavior, this thesis identifies plausible financial ratio forecasting models. The ability of seven different models to predict future values of financial ratios is then tested with data from defense industry firms. The results are used to answer questions concerning the accuracy and bias of forecasts and the appropriate applications of specific forecasting models. The thesis concludes that the ability of time series models to forecast future values for financial ratios depends on the specific ratio being forecast, and that the simplest model, a random walk model, is among the most useful for forecasting.en_US
dc.description.urihttp://archive.org/details/financialratioti1094542824
dc.format.extent83 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleFinancial ratio time series models in defense industriesen_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.subject.authorNAen_US
dc.description.serviceU.S. Coast Guard (USCG) authoren_US
dc.identifier.oclcAAZ3196XP
etd.thesisdegree.nameM.S. in Managementen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineManagementen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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