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https://hdl.handle.net/10419/44417 Kompletter Metadatensatz
| DublinCore-Feld | Wert | Sprache |
|---|---|---|
| dc.contributor.author | Klein, Martin | en |
| dc.date.accessioned | 2011-01-25 | - |
| dc.date.accessioned | 2011-03-07T15:25:37Z | - |
| dc.date.available | 2011-03-07T15:25:37Z | - |
| dc.date.issued | 2010 | - |
| dc.identifier.uri | http://hdl.handle.net/10419/44417 | - |
| dc.language.iso | ger | en |
| dc.publisher | |aFriedrich-Alexander-Universität Erlangen-Nürnberg, Lehrstuhl für Rechnungswesen und Prüfungswesen |cNürnberg | en |
| dc.relation.ispartofseries | |aWorking Papers in Accounting Valuation Auditing |x2010-8 | en |
| dc.subject.jel | C15 | en |
| dc.subject.jel | C51 | en |
| dc.subject.jel | C53 | en |
| dc.subject.jel | G32 | en |
| dc.subject.jel | G34 | en |
| dc.subject.ddc | 330 | en |
| dc.subject.keyword | Monte-Carlo Simulation | en |
| dc.subject.keyword | Fuzzy-Set Theorie | en |
| dc.subject.keyword | Unternehmensbewertung | en |
| dc.subject.keyword | Unschärfe | en |
| dc.subject.keyword | wissensbasierte Systeme | en |
| dc.subject.keyword | Linguistik | en |
| dc.subject.keyword | qualitatives Risiko | en |
| dc.subject.keyword | Due Diligence | en |
| dc.subject.keyword | Risikoanalyse | en |
| dc.subject.keyword | fuzzy-set theory | en |
| dc.subject.keyword | valuation | en |
| dc.subject.keyword | fuzziness | en |
| dc.subject.keyword | expert systems | en |
| dc.subject.keyword | Balanced Scorecard | en |
| dc.subject.keyword | non-financial risk factors | en |
| dc.subject.keyword | due diligence | en |
| dc.subject.keyword | risk analysis | en |
| dc.title | Valuation is fuzzy: Integration qualitativer Risiken ins stochastische Bewertungsmodell mit Hilfe der Fuzzy-Set Theorie | - |
| dc.type | |aWorking Paper | en |
| dc.identifier.ppn | 644573686 | en |
| dc.description.abstracttrans | Non-financial risk factors play a fundamental role in supporting the competitive position of companies in many of today's industries. Though, assessing these ambiguous factors in a valuation based on a Monte-Carlo simulation is particularly difficult. This paper presents how the fuzzy-set theory allows these factors to be assessed explicitly and how the resulting outcome can be linked with a stochastic model. | en |
| dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | en |
| dc.identifier.repec | RePEc:zbw:fauacc:20108 | en |
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