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dc.contributor.authorPflaumer, Peter-
dc.date.accessioned2019-10-18T12:47:39Z-
dc.date.available2019-10-18T12:47:39Z-
dc.date.issued2017-07-
dc.identifier.urihttp://hdl.handle.net/2003/38294-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-20264-
dc.description.abstractSince uncertainty is the crucial point of a capital investment decision, risk analysis in capital budgeting is often applied. Usually risk analysis is carried out by a Monte Carlo simulation. The aim of this article is to present simple analytical methods which allow us to calculate the standard deviation of a project with correlated cash flows as a risk measure. These methods are compared with simulation procedures carried out with R, and it is shown that the proposed simple analytical methods are indeed a quick and efficient procedure for assessing the risk of an investment project where the cash flows are correlated.en
dc.language.isoende
dc.subjectcapital budgetingen
dc.subjectuncertaintyen
dc.subjectfinanceen
dc.subjectnet present valueen
dc.subject.ddc310-
dc.titleRisk Analysis in Capital Investment Appraisal with Correlated Cash Flows: Simple Analytical Methodsen
dc.typeTextde
dc.type.publicationtypeconferenceObjectde
dcterms.accessRightsopen access-
eldorado.secondarypublicationfalsede
eldorado.secondarypublication.primarycitationPaper presented at the 61st ISI World Statistics Congress (WSC) held in Marrakech, Morocco from 16 to 21 July 2017en
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