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Simulation-Based Business Valuation: Methodical Implementation in the Valuation Practice

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  • Dietmar Ernst

    (International School of Finance (IFS), Nuertingen-Geislingen University, Sigmaringer Straße 25, 72622 Nürtingen, Germany)

Abstract

The simulation-based company valuation values a company on the basis of the risks actually present in the company without having to derive them from the capital market data. The simulation-based company valuation takes into account the market imperfections, such as the probability of insolvency or the lack of diversification, and fulfils the legal requirements and auditing standards for a company valuation. The simulation-based company valuation is an alternative to the CAPM-based company valuation, which, under the assumption of perfect capital markets, derives the risks through capital market comparisons. A simulation-based business valuation has many advantages and is particularly suitable for valuing medium-sized companies, start-ups, companies in a crisis, and for integrating country-specific risks into business valuations. Due to the internationally widespread use of the CAPM, a simulation-based company valuation is still rarely used in practice. This article shows which valuation formulas are necessary for the application of a simulation-based company valuation. These are used for both the certainty equivalent method and for the risk premium method. In a concrete and valuation example, the simulation-based business planning and company valuation is carried out, and the derived valuation formulas are applied in a way that allows a transfer to concrete valuation cases in practice. It is shown that the certainty equivalent method and the risk premium method lead to identical company values.

Suggested Citation

  • Dietmar Ernst, 2022. "Simulation-Based Business Valuation: Methodical Implementation in the Valuation Practice," JRFM, MDPI, vol. 15(5), pages 1-17, April.
  • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:5:p:200-:d:802181
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    References listed on IDEAS

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    1. Shiller, Robert J, 1981. "The Use of Volatility Measures in Assessing Market Efficiency," Journal of Finance, American Finance Association, vol. 36(2), pages 291-304, May.
    2. Fama, Eugene F. & French, Kenneth R., 2012. "Size, value, and momentum in international stock returns," Journal of Financial Economics, Elsevier, vol. 105(3), pages 457-472.
    3. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    4. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    5. Mike Dempsey, 2013. "The Capital Asset Pricing Model ( CAPM ): The History of a Failed Revolutionary Idea in Finance?," Abacus, Accounting Foundation, University of Sydney, vol. 49, pages 7-23, January.
    6. Novy-Marx, Robert, 2013. "The other side of value: The gross profitability premium," Journal of Financial Economics, Elsevier, vol. 108(1), pages 1-28.
    7. Fishburn, Peter C, 1977. "Mean-Risk Analysis with Risk Associated with Below-Target Returns," American Economic Review, American Economic Association, vol. 67(2), pages 116-126, March.
    8. Uwe Wehrspohn & Dietmar Ernst, 2022. "When Do I Take Which Distribution?," SpringerBriefs in Business, Springer, number 978-3-031-07330-4, October.
    9. Michael J. Brennan & Ashley W. Wang, 2010. "The Mispricing Return Premium," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3437-3468.
    10. Zhang, Chu, 2009. "On the explanatory power of firm-specific variables in cross-sections of expected returns," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 306-317, March.
    11. Rubinstein, Mark E., 1973. "The Fundamental Theorem of Parameter-Preference Security Valuation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 8(1), pages 61-69, January.
    12. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    13. Gordon Hazen, 2009. "An Extension of the Internal Rate of Return to Stochastic Cash Flows," Management Science, INFORMS, vol. 55(6), pages 1030-1034, June.
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    Cited by:

    1. Dietmar Ernst & Werner Gleißner, 2022. "Paradigm Shift in Finance: The Transformation of the Theory from Perfect to Imperfect Capital Markets Using the Example of Company Valuation," JRFM, MDPI, vol. 15(9), pages 1-13, September.
    2. Philip Sinnadurai, 2022. "“Empirical Corporate Finance: Opportunities and Challenges”—Editorial Synthesis of the Special Issue," JRFM, MDPI, vol. 15(9), pages 1-8, August.
    3. Dietmar Ernst, 2023. "Risk Measures in Simulation-Based Business Valuation: Classification of Risk Measures in Risk Axiom Systems and Application in Valuation Practice," Risks, MDPI, vol. 11(1), pages 1-14, January.

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