Valuation is fuzzy: Integration qualitativer Risiken ins stochastische Bewertungsmodell mit Hilfe der Fuzzy-Set Theorie

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.

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Year of publication:	2010
Authors:	Klein, Martin
Institutions:	Wirtschafts- und Sozialwissenschaftliche Fakultät, Friedrich-Alexander-Universität Erlangen-Nürnberg
Subject:	Monte-Carlo Simulation \| Fuzzy-Set Theorie \| Unternehmensbewertung \| Unschärfe \| wissensbasierte Systeme \| Linguistik \| qualitatives Risiko \| Due Diligence \| Risikoanalyse \| fuzzy-set theory \| valuation \| fuzziness \| expert systems \| Balanced Scorecard \| non-financial risk factors \| due diligence \| risk analysis

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Extent:	application/pdf
Series:	Working Papers in Accounting Valuation Auditing. - ISSN 1867-7932.
Type of publication:	Book / Working Paper
Language:	German
Notes:	Number 2010-8
Classification:	C15 - Statistical Simulation Methods; Monte Carlo Methods ; C51 - Model Construction and Estimation ; C53 - Forecasting and Other Model Applications ; G32 - Financing Policy; Capital and Ownership Structure ; G34 - Mergers; Acquisitions; Restructuring; Corporate Governance
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008855197